analyzing-threat-landscape-with-misp
Analyze the threat landscape using MISP (Malware Information Sharing Platform) by querying event statistics, attribute distributions, threat actor galaxy clusters, and tag trends over time. Uses PyMISP to pull event data, compute IOC type breakdowns, identify top threat actors and malware families, and generate threat landscape reports with temporal trends.
67
60%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Risky
Do not use without reviewing
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/analyzing-threat-landscape-with-misp/SKILL.mdSecurity
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 prompt explicitly instructs passing an API key as a command-line argument (--api-key YOUR_KEY), which requires the agent to accept and embed secret values verbatim in generated commands, enabling 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: 0.80). The skill explicitly connects to a user-specified MISP instance and fetches events via PyMISP (see scripts/agent.py fetch_events using misp.search and the SKILL.md run command with --misp-url), ingesting event attributes and tags (user-contributed/untrusted content) that are parsed and used to drive analysis and reporting, so third-party content can materially influence results and downstream actions.
- Repository
- mukul975/Anthropic-Cybersecurity-Skills
- Commit
c15f73d
- Audited
- Security analysis
Is this your skill?
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