Flerken : Obfuscated Command Detection Tool

Flerken is an Open-source obfuscated command detection tool. Command line obfuscation has been proved to be a non-negligible factor in file-less malware or malicious actors that are “living off the land”.

To bypass signature-based detection, dedicated obfuscation techniques are shown to be used by red-team penetrations and even APT activities.

Meanwhile, numerous obfuscators (namely tools perform syntax transformation) are open sourced, thus making obfuscating given commands increasingly effortless.

However, the number of suitable defenses remains to be few. For Linux command line obfuscation,we can barely find any detection tools.

Concerning defenses against Windows command obfuscation, existing schemes turn out to either lack of toolization, or only partially resolve the entire problem, sometimes even inaccurately.

To better facilitate obfuscation detection, we have proposed Flerken, a toolized platform that can be used to detect both Windows (CMD and Powershell) and Linux (Bash) commands.

The name of Flerken is inspired by a cat-like yet extremely powerful creature from Marvel world. Flerken is build on the basis of carefully collection of black/white samples, and can be divided into two sub-schemes, namely Kindle (Windows obfuscation detector) and Octopus (Linux obfuscation detector).

To help optimize Flerken’s classification performance, we adopt techniques such as machine learning, bi-directional feature filter ring, script sandboxing.

Also Read : NAXSI : WAF For NGINX

Quick start : Installation

  • Step 1: Ensure you have installed python 3.x on your server, you can use the following command to check it.

[root@server:~$] python -V

  • Step 2: Install the required components, all the prerequisite components have been declared in requirement.txt.

[root@server:~$] pip install -r requirement.txt

  • Step 3: Login in your MySQL console, and import database

source /your path/Flerken/flerken/lib/flerken.sql

  • Step4: Custom your Flerken APP config as you want.

Path: flerken/config/global_config.py

  • Step5: Now you can run it!

[root@server:~$] python runApp.py

  • Step 6(Optional): You can build your own whitelists for reducing false positive rate.

Path: flerken/config/whitelists/

How to use

It’s very easy to use as shown in the following picture, and we will also release API interfaces as soon.\

Build-in 3rd parties

  • Flask
  • Flask-WTF
  • Flask-Limiter
  • frankie-huang/pythonMySQL
  • jQuery
  • Swiper

Credits: Yao Zhang, Zhiyang Zeng

R K

Recent Posts

How AI Puts Data Security at Risk

Artificial Intelligence (AI) is changing how industries operate, automating processes, and driving new innovations. However,…

15 hours ago

The Evolution of Cloud Technology: Where We Started and Where We’re Headed

Image credit:pexels.com If you think back to the early days of personal computing, you probably…

4 days ago

The Evolution of Online Finance Tools In a Tech-Driven World

In an era defined by technological innovation, the way people handle and understand money has…

4 days ago

A Complete Guide to Lenso.ai and Its Reverse Image Search Capabilities

The online world becomes more visually driven with every passing year. Images spread across websites,…

5 days ago

How Web Application Firewalls (WAFs) Work

General Working of a Web Application Firewall (WAF) A Web Application Firewall (WAF) acts as…

1 month ago

How to Send POST Requests Using curl in Linux

How to Send POST Requests Using curl in Linux If you work with APIs, servers,…

1 month ago