Cyber security

Hfinger – Fingerprinting Malware HTTP Requests

Tool for fingerprinting HTTP requests of malware. Based on Tshark and written in Python3. Working prototype stage.

Its main objective is to provide unique representations (fingerprints) of malware requests, which help in their identification. 

Unique means here that each fingerprint should be seen only in one particular malware family, yet one family can have multiple fingerprints.

Hfinger represents the request in a shorter form than printing the whole request, but still human interpretable.

Hfinger can be used in manual malware analysis but also in sandbox systems or SIEMs.

The generated fingerprints are useful for grouping requests, pinpointing requests to particular malware families, identifying different operations of one family, or discovering unknown malicious requests omitted by other security systems but which share fingerprint.

An academic paper accompanies work on this tool, describing, for example, the motivation of design choices, and the evaluation of the tool compared to p0fFATT, and Mercury.

Table Of Contents

  1. The idea
  2. Installation
  3. Usage
  4. Fingerprint creation
  5. Report modes

The Idea

The basic assumption of this project is that HTTP requests of different malware families are more or less unique, so they can be fingerprinted to provide some sort of identification.

Hfinger retains information about the structure and values of some headers to provide means for further analysis.

For example, grouping of similar requests – at this moment, it is still a work in progress.

After analysis of malware’s HTTP requests and headers, we have identified some parts of requests as being most distinctive. These include:

  • Request method
  • Protocol version
  • Header order
  • Popular headers’ values
  • Payload length, entropy, and presence of non-ASCII characters

Additionally, some standard features of the request URL were also considered. All these parts were translated into a set of features, described in details here.

The above features are translated into varying length representation, which is the actual fingerprint.

Depending on report mode, different features are used to fingerprint requests. More information on these modes is presented below.

The feature selection process will be described in the forthcoming academic paper.

Installation

Minimum requirements needed before installation:

  • Python >= 3.3,
  • Tshark >= 2.2.0.

Installation available from PyPI:

pip install hfinger

Hfinger has been tested on Xubuntu 22.04 LTS with tshark package in version 3.6.2, but should work with older versions like 2.6.10 on Xubuntu 18.04 or 3.2.3 on Xubuntu 20.04.

Please note that as with any PoC, you should run Hfinger in a separated environment, at least with Python virtual environment. Its setup is not covered here, but you can try this tutorial.

Usage

After installation, you can call the tool directly from a command line with hfinger or as a Python module with python -m hfinger.

For example:

foo@bar:~$ hfinger -f /tmp/test.pcap
[{"epoch_time": "1614098832.205385000", "ip_src": "127.0.0.1", "ip_dst": "127.0.0.1", "port_src": "53664", "port_dst": "8080", "fingerprint": "2|3|1|php|0.6|PO|1|us-ag,ac,ac-en,ho,co,co-ty,co-le|us-ag:f452d7a9/ac:as-as/ac-en:id/co:Ke-Al/co-ty:te-pl|A|4|1.4"}]

For more information click here.

Varshini

Varshini is a Cyber Security expert in Threat Analysis, Vulnerability Assessment, and Research. Passionate about staying ahead of emerging Threats and Technologies.

Recent Posts

How Does a Firewall Work Step by Step

How Does a Firewall Work Step by Step? What Is a Firewall and How Does…

1 day ago

ROADTools: The Modern Azure AD Exploration Framework

ROADTools is a powerful framework designed for exploring and interacting with Microsoft Azure Active Directory…

4 days ago

How to Enumerate Microsoft 365 Groups Using PowerShell and Python

Microsoft 365 Groups (also known as M365 Groups or Unified Groups) are at the heart…

4 days ago

SeamlessPass: Using Kerberos Tickets to Access Microsoft 365

SeamlessPass is a specialized tool designed to leverage on-premises Active Directory Kerberos tickets to obtain…

5 days ago

PPLBlade: Advanced Memory Dumping and Obfuscation Tool

PPLBlade is a powerful Protected Process Dumper designed to capture memory from target processes, hide…

5 days ago

HikPwn : Simple Scanner For Hikvision Devices With Basic Vulnerability Scanning

HikPwn: Comprehensive Guide to Scanning Hikvision Devices for Vulnerabilities If you’re searching for an efficient…

6 days ago