{"id":33520,"date":"2024-06-27T08:09:23","date_gmt":"2024-06-27T08:09:23","guid":{"rendered":"https:\/\/kalilinuxtutorials.com\/?p=33520"},"modified":"2024-06-27T08:09:25","modified_gmt":"2024-06-27T08:09:25","slug":"hfinger","status":"publish","type":"post","link":"https:\/\/kalilinuxtutorials.com\/hfinger\/","title":{"rendered":"Hfinger – Fingerprinting Malware HTTP Requests"},"content":{"rendered":"\n

Tool for fingerprinting HTTP requests of malware. Based on Tshark and written in Python3. Working prototype stage.<\/p>\n\n\n\n

Its main objective is to provide unique representations (fingerprints) of malware requests, which help in their identification.\u00a0<\/p>\n\n\n\n

Unique\u00a0means here that each fingerprint should be seen only in one particular malware family, yet one family can have multiple fingerprints. <\/p>\n\n\n\n

Hfinger represents the request in a shorter form than printing the whole request, but still human interpretable.<\/p>\n\n\n\n

Hfinger can be used in manual malware analysis but also in sandbox systems or SIEMs. <\/p>\n\n\n\n

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.<\/p>\n\n\n\n

An academic paper<\/a>\u00a0accompanies work on this tool, describing, for example, the motivation of design choices, and the evaluation of the tool compared to\u00a0p0f<\/a>,\u00a0FATT<\/a>, and\u00a0Mercury<\/a>.<\/p>\n\n\n\n

Table Of Contents<\/strong><\/a><\/h2>\n\n\n\n
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  1. The idea<\/li>\n\n\n\n
  2. Installation<\/li>\n\n\n\n
  3. Usage<\/li>\n\n\n\n
  4. Fingerprint creation<\/li>\n\n\n\n
  5. Report modes<\/li>\n<\/ol>\n\n\n\n

    The Idea<\/strong><\/a><\/h2>\n\n\n\n

    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. <\/p>\n\n\n\n

    Hfinger retains information about the structure and values of some headers to provide means for further analysis.<\/p>\n\n\n\n

    For example, grouping of similar requests – at this moment, it is still a work in progress.<\/p>\n\n\n\n

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