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deobfuscating-javascript-malware

Deobfuscates malicious JavaScript code used in web-based attacks, phishing pages, and dropper scripts by reversing encoding layers, eval chains, string…

Skill by adriannoes

IndexedApache-2.0★ 72
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Deobfuscates malicious JavaScript code used in web-based attacks, phishing pages, and dropper scripts by reversing encoding layers, eval chains, string manipulation, and control flow obfuscation to reveal the original malicious logic. Activates for requests involving JavaScript malware analysis, script deobfuscation, web skimmer analysis, or obfuscated dropper investigation.

Use cases: agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/deobfuscating-javascript-malware

What's inside

Skill name
deobfuscating-javascript-malware
Description
Deobfuscates malicious JavaScript code used in web-based attacks, phishing pages, and dropper scripts by reversing encoding layers, eval chains, string manipulation, and control flow obfuscation to reveal the original malicious logic. Activates for requests involving JavaScript malware analysis, script deobfuscation, web skimmer analysis, or obfuscated dropper investigation.
License
Apache-2.0
Instructions
335 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts
  • Instructions call the network

Files (4)

  • LICENSE
  • SKILL.md
  • api-reference.md · references/
  • agent.py · scripts/

SKILL.md (first lines)

# Deobfuscating JavaScript Malware

## When to Use

- Investigating a phishing page with obfuscated JavaScript that performs credential harvesting or redirect
- Analyzing a web skimmer (Magecart-style) injected into an e-commerce site
- Deobfuscating a JavaScript dropper that downloads and executes second-stage malware
- Examining malicious email attachments containing HTML files with embedded obfuscated scripts
- Analyzing browser exploit kits that use heavy JavaScript obfuscation to hide exploit delivery

**Do not use** for obfuscated JavaScript that is merely minified production code; use a standard beautifier instead.

## Prerequisites

- Node.js 18+ installed for executing and debugging JavaScript in a controlled environment
- Python 3.8+ with `jsbeautifier` library for code formatting
- Browser developer tools (Chrome DevTools) for controlled execution in an isolated browser
- CyberChef (https://gchq.github.io/CyberChef/) for encoding/decoding operations
- de4js or JStillery for automated JavaScript deobfuscation
- Isolated analysis VM with no access to production systems or sensitive data

## Workflow

### Step 1: Safely Extract and Examine the Obfuscated Script

Isolate the malicious JavaScript without executing it:

```bash
# Extract JavaScript from HTML file
python3 << 'PYEOF'
from html.parser import HTMLParser

class ScriptExtractor(HTMLParser):
    def __init__(self):
        super().__init__()
        self.in_script = False
        self.scripts = []
        self.current = ""

    def handle_starttag(self, tag, attrs):
        if tag == "script":
            self.in_script = True
            self.current = ""

    def handle_endtag(self, tag):
        if tag == "script":
            self.in_script = False
            if self.current.strip():
                self.scripts.append(self.current)

    def handle_data(self, data):
        if self.in_script:
            self.current += data

with open("malicious_page.html") as f:
    parser = ScriptExtractor()
    parser.feed(f.read())

for i, script in enumerate(parser.scripts):
    with open(f"script_{i}.js", "w") as f:
        f.write(script)
    print(f"Extracted script_{i}.js ({len(script)} bytes)")
PYEOF

# Beautify the extracted JavaScript
npx js-beautify script_0.js -o script_0_pretty.js
```

### Step 2: Identify Obfuscation Techniques

Categorize the obfuscation methods used:

```
Common JavaScript Obfuscation Techniques:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
String Encoding:
  - Hex encoding:          "\x68\x65\x6c\x6c\x6f" -> "hello"
  - Unicode escapes:       "\u0068\u0065\u006c\u006c\u006f" -> "hello"
  - Base64:                atob("aGVsbG8=") -> "hello"
  - charCodeAt/fromCharCode: String.fromCharCode(104,101,108,108,111)
  - Array-based lookup:    var _0x1234 = ["hello","world"]; _0x1234[0]

Eval Chains:
  - eval(atob("..."))
  - eval(unescape("..."))
  - new Function("return " + decoded)()
  - document.write("<script>" + decoded + "</script>")
  - setTimeout(decoded, 0)

Control Flow:
  - Switch-case dispatcher with shuffled case order
  - Opaque predicates (always-true/false conditions)
  - Dead code insertion
  - Variable name mangling (_0x4a3b, _0xab12)

Anti-Analysis:
  - Debugger traps: setInterval(function(){debugger;}, 100)
  - Console detection: overriding console.log
  - Timing checks: performance.now() deltas
  - DevTools detection: window.outerWidth - window.innerWidth > 100
```

### Step 3: Remove Anti-Analysis Protections

Neutralize anti-debugging and anti-analysis traps:

```javascript
// Remove debugger traps before analysis
// Replace in the obfuscated script:

// Before:
setInterval(function() { debugger; }, 100);

// After (neutralized):
setInterval(function() { /* debugger removed */ }, 100);

// Neutralize DevTools detection
// Before:
if (window.outerWidth - window.innerWidth > 160) { window.location = "about:blank"; }

From adriannoes/awesome-agentic-ai, Apache-2.0.

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Signals

Stars
72
Forks
19
Open issues
0
Last commit (this folder)
Aug 28, 2026 (2 months ago)
Last release
Oct 24, 2026 (4 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from adriannoes

Cite this page

deobfuscating-javascript-malware skill. Agent Mart. https://agentmart.dev/skills/adriannoes-deobfuscating-javascript-malware (last updated 2026-10-24)