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.

Security & Compliance|v1|Updated 7/2/2026|GitHub source

MCP get_skill({ skillId: "performing-static-malware-analysis-with-pe-studio-2a763f5e" })

Use this skill with your agent

Create a free account and connect via MCP

Get Started Free

# 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.

## Prerequisites

- PEStudio (free edition from https://www.winitor.com/) installed on an isolated analysis workstation
- Python 3.8+ with `pefile` library for scripted PE analysis (`pip install pefile`)
- CFF Explorer or PE-bear as supplementary PE analysis tools
- Access to VirusTotal API for hash lookups and community intelligence
- Isolated analysis VM with no network connectivity to production systems
- FLOSS (FireEye Labs Obfuscated String Solver) for extracting obfuscated strings

## Workflow

### Step 1: Compute File Hashes and Verify Sample Integrity

Generate cryptographic hashes for identification and intelligence lookup:

```bash
# Generate MD5, SHA-1, and SHA-256 hashes
md5sum suspect.exe
sha1sum suspect.exe
sha256sum suspect.exe

# Check hash against VirusTotal
curl -s -X GET "https://www.virustotal.com/api/v3/files/$(sha256sum suspect.exe | cut -d' ' -f1)" \
  -H "x-apikey: $VT_API_KEY" | jq '.data.attributes.last_analysis_stats'

# Get file type with magic bytes verification
file suspect.exe
```

### Step 2: Examine PE Headers and Section Table

Open the sample in PEStudio and inspect structural properties:

```
PEStudio Analysis Points:
━━━━━━━━━━━━━━━━━━━━━━━━━
File Header:       Compilation timestamp, target architecture (x86/x64)
Optional Header:   Entry point address, image base, subsystem (GUI/console)

Continue reading

#mukul-cybersecurity-skills#security#cybersecurity#malware#analysispythonpestudiopefile