Individual skill
performing-static-malware-analysis-with-pe-studio
Performs static analysis of Windows PE (Portable Executable) malware samples using PEStudio to examine file headers, imports, strings, resources, and indicators without executing the binary. Identifies suspicious characteristics including packing, anti-analysis techniques, and malicious imports. Activates for requests involving static malware analysis, PE file inspection, Windows executable analysis, or pre-execution malware triage.
internal/tools/skills/data/malware-analysis/performing-static-malware-analysis-with-pe-studio/SKILL.md
Source commit d42f381ad34843e71a42658e5c57290c713e85af
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 1,323
- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- malware Declared skill tag
- static-analysis Declared skill tag
- pe-analysis Declared skill tag
- pestudio Declared skill tag
- reverse-engineering Declared skill tag
- engineering Derived category
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# Performing Static Malware Analysis with PEStudio
## When to Use
- A suspicious Windows executable has been collected and needs initial triage before sandbox execution
- You need to identify imports, strings, and resources that reveal malware functionality without running the sample
- Determining whether a PE file is packed, obfuscated, or contains anti-analysis techniques
- Extracting indicators of compromise (hashes, URLs, IPs, registry keys) embedded in a binary
- Classifying a sample's capabilities based on its import table and section characteristics
**Do not use** for dynamic behavioral analysis requiring execution; use a sandbox (Cuckoo, ANY.RUN) for runtime behavior observation.
## Detection Gaps & Validation
