Install
$ agentstack add skill-meltedinhex-analyst-ai-pack-analyzing-rich-header-and-compiler-artifacts ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Analyzing Rich Header and Compiler Artifacts
When to Use
- You have a Windows PE and want to fingerprint its build toolchain (compiler/linker product IDs
and build numbers) from the Rich header.
- You are clustering samples by toolchain or detecting Rich-header tampering/forgery.
Do not use the Rich header as definitive attribution — it can be copied or stripped. This skill reads the PE statically and executes nothing.
Prerequisites
- The PE sample (read inertly).
Safety & Handling
- Read bytes statically; treat the sample as malicious data.
Workflow
Step 1: Parse and decode the Rich header
python scripts/analyst.py rich sample.exe
Locates the Rich marker, recovers the XOR key (the DWORD after Rich), decodes the DanS- prefixed entries, and lists (product_id, build_id, use_count) tuples.
Step 2: Fingerprint the toolchain
Map product IDs to compiler/linker products and build numbers to identify the Visual Studio version(s) used.
Step 3: Compute a clustering hash
Hash the decoded Rich entries to produce a toolchain fingerprint for grouping related samples.
Step 4: Check for inconsistencies
Compare the Rich-derived linker version against the PE optional-header linker version; mismatches suggest tampering or a copied header.
Validation
- The XOR key correctly decodes the
DanSsignature at the start of the block. - Decoded entries have plausible product IDs and use counts.
- The toolchain fingerprint is reproducible across identical builds.
Pitfalls
- Samples with no Rich header (non-MSVC toolchains, stripped headers).
- Forged Rich headers copied from a benign binary.
- Confusing the Rich checksum/key handling and misdecoding entries.
References
- See [
references/api-reference.md](references/api-reference.md) for the parser. - PE format documentation (linked in frontmatter).
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: meltedinhex
- Source: meltedinhex/analyst-ai-pack
- License: Apache-2.0
- Homepage: https://meltedinhex.com/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.