Individual skill
implementing-attack-surface-management
Implements external attack surface management (EASM) using Shodan, Censys, and ProjectDiscovery tools (subfinder, httpx, nuclei) for asset discovery, subdomain enumeration, service fingerprinting, and exposure scoring. Includes a weighted risk scoring algorithm based on OWASP attack surface analysis methodology and the Relative Attack Surface Quotient (RSQ). Use when building continuous ASM programs or performing external reconnaissance for security assessments.
skills/implementing-attack-surface-management/SKILL.md
Source commit 54a798831d2266a3ca61ce68a7acb80b81160d57
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- Network or broad shell
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 35,909
- Repository last updated
- Aug 31, 2026
- License
- Apache-2.0
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- ai-agents Repository topic
- claude-code Repository topic
- cybersecurity Repository topic
- incident-response Repository topic
- mitre-attack Repository topic
- penetration-testing Repository topic
- red-team Repository topic
- security Repository topic
- cloud-security Repository topic
- malware-analysis Repository topic
- attack-surface Declared skill tag
- reconnaissance Declared skill tag
- shodan Declared skill tag
- censys Declared skill tag
- subfinder Declared skill tag
- nuclei Declared skill tag
- asset-discovery Declared skill tag
- security Derived category
- security-application Derived category
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# Implementing Attack Surface Management
## When to Use
- When building an external attack surface management (EASM) program from scratch
- When performing authorized external reconnaissance for penetration testing engagements
- When continuously monitoring organizational exposure across internet-facing assets
- When scoring and prioritizing external attack surface risks for remediation
- When integrating multiple discovery tools into an automated ASM pipeline
## Prerequisites
- Python 3.8+ with requests, shodan, censys libraries installed
- Shodan API key (free tier provides 100 queries/month)