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.
46
48%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Risky
Do not use without reviewing
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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.
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.
Insecure credential handling detected (high risk: 1.00). The prompt instructs configuring and passing the MISP API key directly (example uses --api-key YOUR_KEY on the command line), which requires the agent to insert or echo the secret value verbatim and is a direct secret-exposure pattern.
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.
Third-party content exposure detected (high risk: 0.85). The required runtime workflow connects to a user-specified MISP instance and calls `misp.search(..., pythonify=True)`, then ingests outsider-authored event/tag/attribute text from that external MISP into the agent’s processing context (e.g., `event.info`, `event.Tag[].name`, `event.Attribute[].value/type/category`).
0445030
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