building-adversary-infrastructure-tracking-system
Build an automated system to track adversary infrastructure using passive DNS, certificate transparency, WHOIS data, and IP enrichment to map and monitor threat actor command-and-control networks.
72
66%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/building-adversary-infrastructure-tracking-system/SKILL.mdSecurity
1 medium severity finding. This skill can be installed but you should review these findings before use.
W011: Third-party content exposure detected (indirect prompt injection risk)
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
Third-party content exposure detected (high risk: 0.80). The skill explicitly fetches and parses data from public, untrusted third-party sources—e.g., SKILL.md and scripts/agent.py call SecurityTrails (passive DNS, reverse IP, WHOIS), crt.sh (certificate transparency), URLhaus, and ThreatFox APIs—and the code (passive_dns_lookup, pivot_from_seed, check_new_registrations, query_crtsh, build_infrastructure_map) uses those responses to pivot, discover new domains, and drive further look-up and alerting, so external content can materially influence agent decisions and follow-up actions.
- Repository
- mukul975/Anthropic-Cybersecurity-Skills
- Commit
888bbe4
- Audited
- Security analysis
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.