05 January 2010 | 16,137 views

fimap – Remote & Local File Inclusion (RFI/LFI) Scanner

fimap is a little python tool which can find, prepare, audit, exploit and even google automatically for local and remote file inclusion bugs in webapps. fimap is similar to sqlmap just for LFI/RFI bugs instead of sql injection. It is currently under heavy development but it’s usable.

Features

  • Check a Single URL, List of URLs, or Google results fully automatically.
  • Can identify and exploit file inclusion bugs.
  • Test and exploit multiple bugs
  • Has an interactive exploit mode
  • Add your own payloads and patches to the config.py file.
  • Has a Harvest mode which can collect URLs from a given domain for later pentesting.
  • Can use proxies (experimental).

Changes

  • All commands will now be send base64 encoded. So you can use quotes as much as you want.
  • php://input detection is now 100% reliable.
  • You can now define a POST string for relative and absolute files in the config.py.
  • TTL implemented. You can define it with “—ttl “. Default is 30 seconds.
  • Experimental HTTP Proxy support. You can define a HTTP(s) proxy with “—http-proxy localhost:8080″.
  • Googlescanner can now skip the first X pages. Use “—skip-pages X”.
  • Lots of bugfixes and additional regular expressions.

Requirements

  • Needs: Python >= 2.4

You can download fimap here:

fimap_alpha_v07.tar.gz

Or read more here.


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# Posted in: Exploits/Vulnerabilities, Hacking Tools, Web Hacking | * 3 Comments


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3 Responses to “fimap – Remote & Local File Inclusion (RFI/LFI) Scanner”

  1. SnApO 5 January 2010 at 2:13 pm Permalink

    Wow…. thats amazing ;=)
    would give it a try todays afternoon ;=)))))

    cheers and good luck.

    And a Compliment to the Writer of this Blog, Clear and good searched Content. I wish you much readers in the future……….

  2. SYN - syntex 12 January 2010 at 4:02 pm Permalink

    thats amazing , good luck

  3. Dozzyjean DOzie 5 February 2010 at 11:24 pm Permalink

    Wooooooooooooo cool also, i love these more than rfiscan.py very simple to use and understand, perfect a very big thanks to you brain.