GithubHelp home page GithubHelp logo

hartl3y94 / python-iocextract Goto Github PK

View Code? Open in Web Editor NEW

This project forked from inquest/iocextract

0.0 0.0 0.0 685 KB

Defanged Indicator of Compromise (IOC) Extractor.

Home Page: https://inquest.readthedocs.io/projects/iocextract/

License: GNU General Public License v2.0

Python 100.00%

python-iocextract's Introduction

iocextract

Developed by InQuest Build Status Documentation Status Code Health Test Coverage PyPi Version

Defanged Indicator of Compromise (IOC) extractor.

Overview

This library extracts URLs, IP addresses, MD5/SHA hashes, email addresses, and YARA rules from text corpora. It includes some encoded and "defanged" IOCs in the output, and optionally decodes/refangs them.

The Problem

It is common practice for malware analysts or endpoint software to "defang" IOCs such as URLs and IP addresses, in order to prevent accidental exposure to live malicious content. Being able to extract and aggregate these IOCs is often valuable for analysts. Unfortunately, existing "IOC extraction" tools often pass right by them, as they are not caught by standard regex.

For example, the simple defanging technique of surrounding periods with brackets:

127[.]0[.]0[.]1

Existing tools that use a simple IP address regex will ignore this IOC entirely.

The Solution

By combining specially crafted regex with some custom postprocessing, we are able to both detect and deobfuscate "defanged" IOCs. This saves time and effort for the analyst, who might otherwise have to manually find and convert IOCs into machine-readable format.

A Simple Use Case

Many Twitter users post C2s or other valuable IOC information with defanged URLs. For example, this tweet from @InQuest:

Recommended reading and great work from @unit42_intel:
https://researchcenter.paloaltonetworks.com/2018/02/unit42-sofacy-attacks-multiple-government-entities/ ...
InQuest customers have had detection for threats delivered from hotfixmsupload[.]com
since 6/3/2017 and cdnverify[.]net since 2/1/18.

If we run this through the extractor, we can easily pull out the URLs:

https://researchcenter.paloaltonetworks.com/2018/02/unit42-sofacy-attacks-multiple-government-entities/
hotfixmsupload[.]com
cdnverify[.]net

Passing in refang=True at extraction time would remove the obfuscation, but since these are real IOCs, let's leave them defanged in our documentation. :)

Installation

You may need to install the Python development headers in order to install the regex dependency. On Ubuntu/Debian-based systems, try:

sudo apt-get install python-dev

Then install iocextract from pip:

pip install iocextract

If you have problems installing on Windows, try installing regex directly by downloading the appropriate wheel from PyPI and running e.g.:

pip install regex-2018.06.21-cp27-none-win_amd64.whl

Usage

Try extracting some defanged URLs:

>>> content = """
... I really love example[.]com!
... All the bots are on hxxp://example.com/bad/url these days.
... C2: tcp://example[.]com:8989/bad
... """
>>> import iocextract
>>> for url in iocextract.extract_urls(content):
...     print url
...
hxxp://example.com/bad/url
tcp://example[.]com:8989/bad
example[.]com
tcp://example[.]com:8989/bad

Note that some URLs may show up twice if they are caught by multiple regexes.

If you want, you can also "refang", or remove common obfuscation methods from IOCs:

>>> for url in iocextract.extract_urls(content, refang=True):
...     print url
...
http://example.com/bad/url
http://example.com:8989/bad
http://example.com
http://example.com:8989/bad

You can even extract and decode hex-encoded and base64-encoded URLs:

>>> content = '612062756e6368206f6620776f72647320687474703a2f2f6578616d706c652e636f6d2f70617468206d6f726520776f726473'
>>> for url in iocextract.extract_urls(content):
...     print url
...
687474703a2f2f6578616d706c652e636f6d2f70617468
>>> for url in iocextract.extract_urls(content, refang=True):
...     print url
...
http://example.com/path

All extract_* functions in this library return iterators, not lists. The benefit of this behavior is that iocextract can process extremely large inputs, with a very low overhead. However, if for some reason you need to iterate over the IOCs more than once, you will have to save the results as a list:

>>> list(iocextract.extract_urls(content))
['hxxp://example.com/bad/url', 'tcp://example[.]com:8989/bad', 'example[.]com', 'tcp://example[.]com:8989/bad']

A command-line tool is also included:

$ iocextract -h
usage: iocextract [-h] [--input INPUT] [--output OUTPUT] [--extract-emails]
              [--extract-ips] [--extract-ipv4s] [--extract-ipv6s]
              [--extract-urls] [--extract-yara-rules] [--extract-hashes]
              [--custom-regex REGEX_FILE] [--refang] [--strip-urls]
              [--wide]

Advanced Indicator of Compromise (IOC) extractor. If no arguments are
specified, the default behavior is to extract all IOCs.

optional arguments:
  -h, --help            show this help message and exit
  --input INPUT         default: stdin
  --output OUTPUT       default: stdout
  --extract-emails
  --extract-ips
  --extract-ipv4s
  --extract-ipv6s
  --extract-urls
  --extract-yara-rules
  --extract-hashes
  --custom-regex REGEX_FILE
                        file with custom regex strings, one per line, with one
                        capture group each
  --refang              default: no
  --strip-urls          remove possible garbage from the end of urls. default:
                        no
  --wide                preprocess input to allow wide-encoded character
                        matches. default: no

Only URLs, emails, and IPv4 addresses can be "refanged".

Should I Use iocextract?

Are you...

Extracting possibly-defanged IOCs from plain text, like the contents of tweets or blog posts?

Yes! This is exactly what iocextract was designed for, and where it performs best. Want to go a step farther and automate extraction and storage? Check out ThreatIngestor.

Extracting URLs that have been hex or base64 encoded?

Yes, but the CLI might not give you the best results. Try writing a Python script and calling iocextract.extract_encoded_urls directly.

Note that you will most likely end up with extra garbage at the end of URLs.

Extracting IOCs that have not been defanged, from HTML/XML/RTF?

Maybe, but you should consider using the --strip-urls CLI flag (or the strip=True parameter in the library), and you may still get some extra garbage in your output.

If you're extracting from HTML, consider using something like Beautiful Soup to first isolate the text content, and then pass that to iocextract, like this.

Extracting IOCs that have not been defanged, from binary data like executables, or very large inputs?

Probably not. The regex in iocextract is designed to be flexible to catch defanged IOCs, so it performs significantly worse than a solution that is designed to catch only standard IOCs.

Consider using something like Cacador instead.

More Details

This library currently supports the following IOCs:

  • IP Addresses
    • IPv4 fully supported
    • IPv6 partially supported
  • URLs
    • With protocol specifier: http, https, tcp, udp, ftp, sftp, ftps
    • With [.] anchor, even with no protocol specifier
    • IPv4 and IPv6 (RFC2732) URLs are supported
    • Hex-encoded URLs with protocol specifier: http, https, ftp
    • URL-encoded URLs with protocol specifier: http, https, ftp, ftps, sftp
    • Base64-encoded URLs with protocol specifier: http, https, ftp
  • Emails
    • Partially supported, anchoring on @ or at
  • YARA rules
    • With imports, includes, and comments
  • Hashes
    • MD5
    • SHA1
    • SHA256
    • SHA512
  • Custom regex
    • With exactly one capture group

For IPv4 addresses, the following defang techniques are supported:

Technique Defanged Refanged
. -> [.] 1[.]1[.]1[.]1 1.1.1.1
. -> (.) 1(.)1(.)1(.)1 1.1.1.1
. -> \. 1\.1\.1\.1 1.1.1.1
Partial 1[.1[.1.]1 1.1.1.1
Any combination 1.)1[.1.)1 1.1.1.1

For email addresses, the following defang techniques are supported:

Technique Defanged Refanged
. -> [.] me@example[.]com [email protected]
. -> (.) me@example(.)com [email protected]
. -> {.} me@example{.}com [email protected]
. -> _dot_ me@example dot com [email protected]
@ -> [@] me[@]example.com [email protected]
@ -> (@) me(@)example.com [email protected]
@ -> {@} me{@}example.com [email protected]
@ -> _at_ me at example.com [email protected]
Partial me@} example[.com [email protected]
Added spaces me@example [.] com [email protected]
Any combination me @example [.)com [email protected]

For URLs, the following defang techniques are supported:

Technique Defanged Refanged
. -> [.] example[.]com/path http://example.com/path
. -> (.) example(.)com/path http://example.com/path
. -> \. example\.com/path http://example.com/path
Partial http://example[.com/path http://example.com/path
/ -> [/] http://example.com[/]path http://example.com/path
Cisco ESA http:// example .com /path http://example.com/path
:// -> __ http__example.com/path http://example.com/path
:// -> :\\ http:\\example.com/path http://example.com/path
: -> [:] http[:]//example.com/path http://example.com/path
hxxp hxxp://example.com/path http://example.com/path
Any combination hxxp__ example( .com[/]path http://example.com/path
Hex encoded 687474703a2f2f6578616d706c652e636f6d2f70617468 http://example.com/path
URL encoded http%3A%2F%2fexample%2Ecom%2Fpath http://example.com/path
Base64 encoded aHR0cDovL2V4YW1wbGUuY29tL3BhdGgK http://example.com/path

Note that the tables above are not exhaustive, and other URL/defang patterns may also be extracted correctly. If you notice something missing or not working correctly, feel free to let us know via the GitHub Issues.

The base64 regex was generated with @deadpixi's base64 regex tool.

Custom Regex

If you'd like to use the CLI to extract IOCs using your own custom regex, create a plain text file with one regex string per line, and pass it in with the --custom-regex flag. Be sure each regex string includes exactly one capture group. For example:

http://(example\.com)/
(?:https|ftp)://(example\.com)/

This custom regex file will exctract the domain example.com from matching URLs. The (?: ) noncapture group won't be included in matches.

If you would like to extract the entire match, just put parentheses around your entire regex string, like this:

(https?://.*?.com)

If your regex is invalid, you'll see an error message like this:

Error in custom regex: missing ) at position 5

If your regex does not include a capture group, you'll see an error message like this:

Error in custom regex: no such group

Related Projects

If iocextract doesn't fit your usecase, several similar projects exist. Check out the defang and indicators-of-compromise tags on GitHub, as well as:

If you'd like to automate IOC extraction, enrichment, export, and more, check out ThreatIngestor.

If you're working with YARA rules, you may be interested in plyara.

Changelog

New features, improvements, and bugfixes for each release can be found in the GitHub releases.

Contributing

If you have a defang technique that doesn't make it through the extractor, or if you find any bugs, PRs and Issues are always welcome. The library is released under a "BSD-New" (aka "BSD 3-Clause") license.

Who's using iocextract

Are you using it? Want to see your site listed here? Let us know!

python-iocextract's People

Contributors

cmmorrow avatar ninoseki avatar pedramamini avatar rshipp avatar sshinol avatar tamieem avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.