analyzing-indicators-of-compromise
Analyzes indicators of compromise (IOCs) including IP addresses, domains, file hashes, URLs, and email artifacts to determine maliciousness confidence, campaign attribution, and blocking priority. Use when triaging IOCs from phishing emails, security alerts, or external threat feeds; enriching raw IOCs with multi-source intelligence; or making block/monitor/whitelist decisions. Activates for requests involving VirusTotal, AbuseIPDB, MalwareBazaar, MISP, or IOC enrichment pipelines.
90
88%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Risky
Do not use without reviewing
Security
2 findings — 1 high severity, 1 medium severity. You should review these findings carefully before considering using this skill.
W007: Insecure credential handling detected in skill instructions
What this means
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
Why it was flagged
Insecure credential handling detected (high risk: 1.00). The skill's examples and prerequisites show API keys inserted directly into client constructors and request headers (e.g., vt.Client("YOUR_VT_API_KEY"), headers={"Key":"YOUR_KEY"}, PyMISP(..., "API_KEY")), which encourages embedding secrets verbatim in generated code/commands and thus creates an exfiltration risk.
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: 1.00). This skill explicitly queries public, community-driven threat intelligence services (e.g., VirusTotal, AbuseIPDB, MalwareBazaar, URLScan, Shodan) — see SKILL.md "Step 2: Multi-Source Enrichment" and scripts/agent.py functions like query_virustotal_hash, query_abuseipdb, and query_malwarebazaar — and directly uses those untrusted, user-submitted/third-party results to compute scores and dispositions (BLOCK/MONITOR), so external content could materially influence the agent's actions.
- Repository
- mukul975/Anthropic-Cybersecurity-Skills
- Commit
c15f73d
- 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.