| name | wafw00f |
| description | Auth/lab ref: WAF detection tool. Fingerprints Web Application Firewalls by analyzing HTTP responses to crafted requests. |
| license | MIT |
| compatibility | Linux/macOS/Windows; Python 3; targets any HTTP/HTTPS service. |
| metadata | {"author":"AeonDave","version":"1.0","category":"recon","language":"python"} |
wafw00f
WAF fingerprinting via crafted HTTP probes. Use before content discovery, injection testing, or active scanning to know what protection is in place.
Quick start
wafw00f https://target.com
wafw00f -a https://target.com
wafw00f -i targets.txt
wafw00f https://target.com -o json -f output.json
wafw00f https://target.com -o csv -f output.csv
wafw00f -v https://target.com
Output interpretation
[+] The site https://target.com is behind Cloudflare (Cloudflare Inc.) WAF.
[+] The site https://target.com is behind ModSecurity (SpiderLabs/Trustwave)
[-] No WAF detected by the generic detection
No detection does not mean no WAF — some WAFs are passive (log-only) or use custom signatures not in wafw00f's database.
Integration in workflow
Run after initial HTTP fingerprinting and before:
- Content discovery / directory brute-force
- Active injection testing (SQLi, XSS)
- Nuclei scanning
Result informs bypass strategy — see offensive-techniques/web-exploit-technique/references/waf-bypass.md.