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Performing static pe analysis

Skill meltedinhex/analyst-ai-pack/skills/performing-static-pe-analysis

Extracts structure and indicators from a Windows PE file without executing it: headers, sections, imports/exports, resources, entropy, and embedded strings to infer capability and packing. Activates for requests to statically analyze a PE, EXE, or DLL, or inspect imports and headers.From its SKILL.md

Install
npx -y skills add meltedinhex/analyst-ai-pack --skill performing-static-pe-analysis

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SKILL.md

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Performing Static PE Analysis

When to Use

  • You have a Windows executable or DLL and need to infer its capabilities before (or instead of) detonation.
  • You want to assess packing, suspicious imports, timestamps, and embedded resources.
  • You are gathering features for YARA authoring or detection.

Do not use import tables alone to conclude behavior — packed samples hide imports until runtime. If imports are sparse and entropy is high, move to unpacking.

Prerequisites

  • pefile (pip install pefile) and optionally capa/PEStudio for deeper capability ID.
  • The sample in neutralized form inside the lab.

Safety & Handling

  • Static only: parse the file, never run it. Keep the neutralized extension.

Workflow

Step 1: Parse headers and metadata

python scripts/analyst.py analyze sample.bin

Note the compile timestamp (often forged), subsystem (GUI/console), machine type (x86/x64), and whether it is a DLL.

Step 2: Review sections and entropy

Per-section entropy reveals packing. A tiny .text plus a huge high-entropy section, or non-standard section names (UPX0, .themida), indicate a packer:

.text   entropy 6.4  (normal code)
UPX1    entropy 7.95 (packed)

Step 3: Classify imports

Group imported APIs into behavioral buckets:

Injection : VirtualAllocEx, WriteProcessMemory, CreateRemoteThread   [T1055]
Network   : InternetOpen, HttpSendRequest, WinHttpConnect            [T1071]
Crypto    : CryptEncrypt, CryptAcquireContext                        [T1486]
Persistence: RegSetValueEx, CreateService                            [T1547/T1543]

A sample importing only LoadLibrary/GetProcAddress is resolving APIs dynamically — a packing/evasion tell.

Step 4: Inspect resources and strings

Look for embedded PEs in resources (droppers), config blobs, and notable strings (URLs, mutex names, paths).

Step 5: Check signing

Verify the Authenticode signature: unsigned, self-signed, or revoked certificates are suspicious for software claiming to be legitimate.

Validation

  • Section entropy and import counts agree (packed → few imports + high entropy).
  • Suspicious import buckets correspond to plausible behavior.
  • Embedded PE detection is confirmed by an MZ/PE header inside a resource.

Pitfalls

  • Trusting the compile timestamp as a real build date — it is trivially forged.
  • Concluding "benign" because imports look ordinary; the import table may be a stub for a packed payload.
  • Ignoring TLS callbacks, which can run code before the entry point.

References

  • See references/api-reference.md for the analyzer and import classification map.
  • Microsoft PE Format spec and pefile (linked in frontmatter).

What ships with it: 3 files

5.8 KB alongside SKILL.md, 1 of them executable

references/

scripts/

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Said here and by no other author read

  • Parse file headers and metadata
  • Review sections and entropy
  • Classify imports into behavioral buckets
  • Inspect resources and embedded strings
  • Check Authenticode signature status
  • Validate section entropy against import counts

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