Install
$ agentstack add skill-meltedinhex-analyst-ai-pack-deobfuscating-malicious-javascript ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ Passed1 finding(s); passed with low-risk notes. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
- medium Obfuscated/encoded payload that hides intent.
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
Deobfuscating Malicious JavaScript
When to Use
- You have obfuscated JS (from a phishing page, HTA,
.jsdropper, or scriptlet) and need its real
behavior.
- You must recover hidden URLs, dropped commands, or a next-stage payload.
- You want to statically unroll common obfuscation rather than run untrusted code.
Do not use a real browser or node to execute the script for analysis — that runs the malware. Use a sandboxed interpreter (box-js) or static transformation only.
Prerequisites
- A safe analysis approach: static decoding, or a JS malware sandbox (box-js) in the lab.
- Familiarity with common obfuscation: string arrays,
String.fromCharCode, hex/unicode escapes,
eval/Function chains, packers.
Safety & Handling
- Treat the script as live code; never execute it outside an isolated sandbox.
- Defang recovered URLs and store dropped payloads password-protected.
Workflow
Step 1: Normalize and de-pack
Pretty-print the source and identify the obfuscation style (array-shuffle, eval-packer, charcode). Decode static encodings first: hex/unicode escapes and base64 literals.
python scripts/analyst.py decode dropper.js
Step 2: Unroll string arrays and char-code builds
Reconstruct strings built from arrays/fromCharCode/concatenation to reveal API names, URLs, and commands.
Step 3: Resolve eval/Function indirection — safely
Replace eval/new Function with logging (or a sandbox) so the constructed code is captured as data, not executed, then recurse on the recovered layer.
Step 4: Extract behavior and IOCs
Identify the dropper actions (WScript.Shell, ActiveX, fetch/XHR), recover URLs and dropped paths, defang, and route payloads onward.
Validation
- Static encodings (hex/unicode/base64) are fully decoded.
- String-array/charcode constructions are unrolled to readable strings.
eval/Functionlayers are captured as data and recursed, with no untrusted execution.
Pitfalls
- Running the script to "see what it does" and infecting the analysis host.
- Stopping at one layer when the dropper nests several.
- Missing environment-keyed branches (only acts on certain dates/locales) during static review.
References
- See [
references/api-reference.md](references/api-reference.md) for the static JS decoder. - ECMAScript spec and box-js (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.