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name: pdf-triage-plus description: Structural analysis of suspicious PDF documents to detect evasion techniques missed by traditional AV version: 0.1.0 author: NLx64 tags: [document-analysis, pdf, malware-detection, triage] status: coming-soon

PDF Triage Plus

🚧 Coming Soon - This skill is under development

Overview

This skill performs structural analysis of suspicious PDF documents to detect evasion techniques that traditional antivirus solutions often miss.

Why This Matters

Traditional signature-based detection frequently fails against:

• Obfuscated JavaScript payloads
• Layered object streams
• Evasion techniques targeting sandbox environments

Case Study: Documents scoring 0/63 on VirusTotal have been identified as malicious with 95/100 risk scores using structural analysis.

Planned Features

• Stream Extraction: Decompress and analyze all PDF streams
• Payload Layering Detection: Identify nested malicious content
• Code Semantic Analysis: Understand JavaScript/ActionScript behavior
• Risk Scoring: Quantified threat assessment
• IOC Extraction: Automatic indicator identification

Analysis Methods

1. PDF structure parsing
2. Object stream decompression
3. JavaScript deobfuscation
4. Suspicious pattern detection
5. Risk score calculation

Outputs

• Risk score with reasoning
• Extracted IOCs (URLs, IPs, domains)
• Suspicious code snippets
• Recommended actions

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Check back soon for the full implementation!