malware-reverse-engineering

Installation
SKILL.md

Malware Reverse Engineering

Safety Boundary

  • Treat samples as hostile. Use isolated labs, snapshots, no shared clipboard, no mounted personal directories, and controlled networking.
  • Do not provide malware improvement, persistence, stealth, evasion, credential theft, or deployment guidance.
  • Focus on behavior, indicators, detection, containment, and eradication.

Workflow

  1. Record sample metadata: filename, hashes, size, type, source, timestamp, and handling notes.
  2. Perform static triage: strings, imports, sections, packer hints, scripts/macros, config blobs, and suspicious capabilities.
  3. Plan dynamic analysis with containment: VM snapshot, fake services, monitored filesystem/registry/process/network activity.
  4. Summarize behavior by capability: execution, persistence, privilege, defense evasion, discovery, C2, collection, exfiltration.
  5. Produce IOCs, detection logic ideas, remediation steps, and confidence levels.

Output Format

Installs
1
GitHub Stars
3
First Seen
Aug 26, 2026
malware-reverse-engineering — masriyan/gemini-security-skills