Individual skill
web-waf-detection
Web Application Firewall fingerprinting — Cloudflare, AWS WAF, Akamai, Imperva, etc.
packages/decepticon/decepticon/skills/standard/recon/web-recon/waf-detection/SKILL.md
Source commit df879550544d36b6b1e69062f05adae28537adf2
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 8, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 6,566
- Repository last updated
- Nov 7, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent Repository topic
- ai Repository topic
- cybersecurity Repository topic
- hacking Repository topic
- langchain Repository topic
- langgraph Repository topic
- llm Repository topic
- generative-ai Repository topic
- pentesting Repository topic
- pentest Repository topic
- waf-detection Declared skill tag
- engineering Derived category
Files and excerpt
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# WAF Detection & Fingerprinting
Identify any front-end shield (Cloudflare, AWS WAF, Akamai, Imperva, etc.) so exploit can choose appropriate evasion (encoding, payload obfuscation, alternate transport). A multi-proxy/CDN stack is also the recognition signal for HTTP request smuggling — note this for handoff.
## Tooling
```bash
# wafw00f
wafw00f https://<target>
# Manual detection via response patterns
curl -s "https://<target>/?id=1' OR '1'='1" -I | grep -iE '(server|x-cdn|cf-ray|x-sucuri|x-aws)'
```