enablesecurity/wafw00f

WAFW00F allows one to identify and fingerprint Web Application Firewall (WAF) products protecting a website.

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Summary Information

Updated 12 minutes ago
Added to GitGenius on September 10th, 2026
Created on May 14th, 2014
Open Issues & Pull Requests: 0 (+0)
GitHub issues: Enabled
Number of forks: 1,055
Total Stargazers: 6,545 (+0)
Total Subscribers: 133 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.2 hours
Mean response time: 30.5 days
90th percentile: 98.3 days
Tracked items: 19

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 10% of issues opened in the past year have been closed. Three people close 100% of everything that gets resolved.

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Open issues: 0
New in 7 days: 0
Closed in 7 days: 0
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

WAFW00F is a command-line tool that identifies and fingerprints Web Application Firewall products protecting a website.

The tool addresses the problem of determining which WAF solution defends a target website by sending crafted HTTP requests and analyzing the responses for characteristic signatures. It works by matching response patterns, headers, and behavior against a database of known WAF fingerprints, allowing security professionals to recognize the specific firewall technology in use without requiring direct access to the target infrastructure.

Security researchers and penetration testers should adopt this tool when they need to identify WAF deployments as part of reconnaissance or security assessments. It suits projects where understanding the defensive posture of a web application is necessary before attempting further testing or exploitation. The tool is particularly valuable in scenarios where knowing the specific WAF vendor and version can inform the choice of testing techniques, since different firewalls have different bypass characteristics and detection thresholds.

The project maintains active development with regular updates to its WAF fingerprint database to detect newly released or updated firewall products. The codebase receives ongoing refinement to improve detection accuracy and reduce false positives in fingerprinting results. The project incorporates community contributions that expand its coverage of WAF products and enhance its detection capabilities.