Individual skill
cloud-attack-surface-discovery
Black-box discovery of a target's cloud footprint from an ordinary internet-facing domain — DNS, CNAME, headers, TLS, JavaScript, CSP, and error evidence fingerprinted to AWS, Azure, and GCP services, resources, accounts/tenants/projects, and applicable attack methodology
internal/tools/skills/data/cloud-security/cloud-attack-surface-discovery/SKILL.md
Source commit d42f381ad34843e71a42658e5c57290c713e85af
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- Matches the observed repository HEAD
- Yes
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- Yes
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- No
- Skill scan complete
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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- 1,325
- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
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- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- engineering Derived category
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# Cloud Attack Surface Discovery (Black-Box)
## Purpose
Derive a target's cloud attack model starting from only a domain or web application, using external evidence only. Output a provider/service/resource map that drives which offensive cloud skill to load next — not a "cloud detected" label.
## Entry Conditions
- An internet-facing target (domain, web app, or IP) with no cloud credentials supplied or discovered
- Reconnaissance output available (subdomains, JS, crawl data) — consume it; do not re-crawl here
## Discovery Signals
| Source | What to extract |
|---|---|
| DNS / CNAME | `*.amazonaws.com`, `*.cloudfront.net`, `*.azurewebsites.net`, `*.trafficmanager.net`, `*.run.app`, `*.cloudfunctions.net`, `*.firebaseapp.com`, `*.blob.core.windows.net` |