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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.

46

Quality

48%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Risky

Do not use without reviewing

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/analyzing-threat-landscape-with-misp/SKILL.md
SKILL.md
Quality
Evals
Security

Security

2 findings — 1 high severity, 1 medium severity. You should review these findings carefully before considering using this skill.

High

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 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.

Report incorrect finding
Medium

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: 0.85). 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`).

Repository
mukul975/Anthropic-Cybersecurity-Skills
Audited
Security analysis
Snyk

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.