Skip to content
/ sqlmap Public
forked from sqlmapproject/sqlmap

Automatic SQL injection and database takeover tool

Notifications You must be signed in to change notification settings

z0n3/sqlmap

This branch is 3343 commits behind sqlmapproject/sqlmap:master.

Folders and files

NameName
Last commit message
Last commit date

Latest commit

1b81084 · Oct 23, 2015
Sep 10, 2015
Sep 10, 2015
Oct 23, 2015
Oct 13, 2015
Oct 15, 2015
Oct 2, 2013
Sep 24, 2015
Oct 9, 2015
Oct 9, 2015
Jun 5, 2015
Jul 12, 2015
Oct 22, 2015
Apr 20, 2015
Dec 26, 2012
Aug 4, 2014
Oct 14, 2014
Oct 1, 2015
Oct 12, 2015
Jan 6, 2015

Repository files navigation

sqlmap

sqlmap is an open source penetration testing tool that automates the process of detecting and exploiting SQL injection flaws and taking over of database servers. It comes with a powerful detection engine, many niche features for the ultimate penetration tester and a broad range of switches 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.

Screenshots

Screenshot

You can visit the collection of screenshots demonstrating some of features on the wiki.

Installation

You can download the latest tarball by clicking here or latest zipball by clicking here.

Preferably, you can download sqlmap by cloning the Git repository:

git clone https://github.com/sqlmapproject/sqlmap.git sqlmap-dev

sqlmap works out of the box with Python version 2.6.x and 2.7.x on any platform.

Usage

To get a list of basic options and switches use:

python sqlmap.py -h

To get a list of all options and switches use:

python sqlmap.py -hh

You can find a sample run here. To get an overview of sqlmap capabilities, list of supported features and description of all options and switches, along with examples, you are advised to consult the user's manual.

Links

Translations

About

Automatic SQL injection and database takeover tool

Resources

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 98.8%
  • Other 1.2%