Showing posts with label Web Hacking. Show all posts
Showing posts with label Web Hacking. Show all posts

Friday, July 31, 2009

SQLMAP 0.7 Released – Automatic SQL Injection Tool

We’ve been following sqlmap since it first came out in Feburary 2007 and it’s been quite some time since the last update sqlmap 0.6.3 in December 2008.

For those not familiar with the tool, sqlmap is an open source command-line automatic SQL injection tool. Its goal is to detect and take advantage of SQL injection vulnerabilities in web applications.

Once it detects one or more SQL injections on the target host, the user can choose among a variety of options to perform an extensive back-end database management system fingerprint, retrieve DBMS session user and database, enumerate users, password hashes, privileges, databases, dump entire or user’s specified DBMS tables/columns, run his own SQL statement, read or write either text or binary files on the file system, execute arbitrary commands on the operating system, establish an out-of-band stateful connection between the attacker box and the database server via Metasploit payload stager, database stored procedure buffer overflow exploitation or SMB relay attack and more.

Recent Changes

Along all the takeover features introduced in sqlmap 0.7 release candidate 1, some of the new features include:

  • Adapted Metasploit wrapping functions to work with latest 3.3 development version too.
  • Adjusted code to make sqlmap 0.7 to work again on Mac OSX too.
  • Reset takeover OOB features (if any of –os-pwn, –os-smbrelay or –os-bof is selected) when running under Windows because msfconsole and msfcli are not supported on the native Windows Ruby interpreter.
  • This make sqlmap 0.7 to work again on Windows too.
  • Minor improvement so that sqlmap tests also all parameters with no value (eg. par=).
  • HTTPS requests over HTTP proxy now work on either Python 2.4, 2.5 and 2.6+.

For a complete list of changes view the ChangeLog.

The manual is available here – README.pdf [PDF]

You can download sqlmap 0.7 here:

Linux Source: sqlmap-0.7.tar.gz
Windows Portable: sqlmap-0.7_exe.zip

Friday, June 5, 2009

Fiddler - Web Debugging Proxy For HTTP(S)Fiddler - Web Debugging Proxy For HTTP(S)

Fiddler is a Web Debugging Proxy which logs all HTTP(S) traffic between your computer and the Internet. Fiddler allows you to inspect all HTTP(S) traffic, set breakpoints, and “fiddle” with incoming or outgoing data. Fiddler includes a powerful event-based scripting subsystem, and can be extended using any .NET language.


Fiddler is freeware and can debug traffic from virtually any application, including Internet Explorer, Mozilla Firefox, Opera, and thousands more.

If you want some info on how to use Fiddler for debugging you can check here: Fiddler Can Make Debugging Easy

You can download Fiddler here:

Download Fiddler from server



Pangolin - Automatic SQL Injection Tool

Pangolin is an automatic SQL injection penetration testing tool developed by NOSEC. Its goal is to detect and take advantage of SQL injection vulnerabilities on web applications. Once it detects one or more SQL injections on the target host, the user can choose among a variety of options to perform an extensive back-end database management system fingerprint, retrieve DBMS session user and database, enumerate users, password hashes, privileges, databases, dump entire or user’s specific DBMS tables/columns, run his own SQL statement, read specific files on the file system and more.


Database Support
•Access: Informations (Database Path; Root Path; Drivers); Data
•MSSql: Informations; Data; FileReader; RegReader; FileWriter; Cmd; DirTree
•MySql: Informations; Data; FileReader; FileWriter;
•Oracle: Inforatmions (Version; IP; Database; Accounts ……); Data; and any others;
•Informix: Informatons; Data
•DB2: Informatons; Data; and more;
•Sybase: Informatons; Data; and more;
•PostgreSQL: Informatons; Data; FileReader;
•Sqlite: Informatons; Data

At present, most of the functions are directed at MSSQL and MySql coupled with Oracle and Access. Other small and medium-sized companies are using DB2, Informix, Sybase, PostgreSQL, as well as Sqlite which isn’t so common.

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