Use the Malpedia platform and API to research malware family relationships, track variant evolution, link families to threat actors, and integrate YARA rules for detection across malware lineages.
66
58%
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-malware-family-relationships-with-malpedia/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: 0.90). The prompt's example and client code directly embed a Malpedia API key into request headers (client = MalpediaClient("YOUR_MALPEDIA_API_KEY") and headers = {"Authorization": f"apitoken {api_key}"}), which encourages placing secrets verbatim into generated code/requests and risks exfiltration.
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: 0.90). The skill explicitly queries the public Malpedia API (see SKILL.md and scripts/agent.py calling https://malpedia.caad.fkie.fraunhofer.de/api endpoints such as /get/family and /get/yara) and ingests community/vendor-contributed, user-generated references and YARA rules which the agent parses and uses to build mappings and compile detection rules, so third-party content can materially influence its actions.
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