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0xinfection/awesome-waf

7,470PythonAudience · developerComplexity · 2/5Setup · easy

TLDR

A curated reference guide for security researchers covering how web application firewalls work, how to detect and fingerprint them, and techniques for testing their filter rules.

Mindmap

mindmap
  root((awesome-waf))
    What it does
      WAF reference guide
      Fingerprinting methods
      Evasion techniques
    Content
      Detection methods
      Product fingerprints
      Research papers
    Use cases
      Pentesting WAFs
      Security research
      Filter validation
    Audience
      Security researchers
      Pentesters
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Code map

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Things people build with this

USE CASE 1

Identify which WAF product is protecting a target application during a penetration test using fingerprint signatures.

USE CASE 2

Learn evasion techniques to test whether a WAF correctly blocks obfuscated injection payloads.

USE CASE 3

Research WAF detection methods by studying telltale signs in cookies, headers, and response codes.

USE CASE 4

Find tools, blog posts, and research papers for WAF security testing in one organized reference.

Tech stack

Python

Getting it running

Difficulty · easy Time to first run · 5min

In plain English

Awesome-WAF is a curated reference guide covering web application firewalls (WAFs) from a security research and penetration testing perspective. A web application firewall sits between a user and a website, inspecting incoming requests and blocking ones that look malicious, such as attempts to inject code or steal data. This repository collects everything a security researcher or tester would want to know about WAFs in one place. The contents are organized into several areas. The introduction explains how WAFs work and their three main operating modes: blacklist-based (block known bad patterns), whitelist-based (only allow known good patterns), and hybrid models that combine both. The testing methodology section describes how to detect whether a WAF is in front of an application by sending specific requests and observing how the server responds, including looking at cookies, response headers, status codes, and timing. A large WAF fingerprints section lists dozens of specific products and explains the telltale signs each one leaves behind in responses, making it possible to identify which WAF you are dealing with. Following that, the evasion techniques section covers methods researchers use to craft requests that slip past a WAF's filters, including encoding tricks, obfuscation, and exploiting edge cases in how browsers and servers parse input. The repository also links to tools for fingerprinting and testing WAFs, and collects relevant blog posts, video presentations, and research papers. It was originally a personal reference collection by the author, who released it publicly for the security community. The README is primarily a large reference document and the Python code in the repository supports the tooling sections. The full README is longer than what was shown.

Copy-paste prompts

Prompt 1
Using the WAF fingerprinting section of awesome-waf, help me identify which WAF is in front of a test application based on its response headers and cookies.
Prompt 2
Explain the blacklist vs whitelist WAF operating modes from awesome-waf and give me examples of requests that would bypass a blacklist-only WAF in a lab environment.
Prompt 3
Help me write a Python script using encoding techniques from awesome-waf to send obfuscated payloads and detect whether a WAF blocks or passes them.
Prompt 4
Summarize the evasion techniques in awesome-waf that use encoding tricks to bypass SQL injection filters, with examples I can use in an authorized pentest.
Prompt 5
Using awesome-waf as a reference, create a test checklist for validating that a WAF deployment correctly blocks common injection patterns.
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