analyzing-cobaltstrike-malleable-c2-profiles
Parse and analyze Cobalt Strike Malleable C2 profiles with dissect.cobaltstrike (profiles and beacon-payload configs) and pyMalleableC2 (AST parsing) to extract HTTP/DNS transforms, URIs, headers, sleep/jitter, and injection behavior, then generate network detection signatures. Use when reverse-engineering a captured malleable profile or building detections against Cobalt Strike Beacon traffic.
63
75%
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High
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tessl review fix ./skills/analyzing-cobaltstrike-malleable-c2-profiles/SKILL.mdSecurity
1 high severity finding. 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
The skill explicitly instructs extracting HTTP headers, URIs, and producing a JSON report containing those values, which can include authorization tokens, cookies, or other secrets that the LLM would output verbatim.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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
The runtime workflow reads outsider-authored free text from an operator-supplied local input file path via `--input` (e.g., `.profile`/`.txt`) and ingests its contents into the regex/dissect parsing functions to generate findings and Suricata rules.
- Repository
- mukul975/Anthropic-Cybersecurity-Skills
- Commit
e612f49
- Audited
- Security analysis
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