MAIAT

PDF Analysis

PDFs are a top attack vector — embedding malicious JavaScript, exploits, or payloads. MAIAT automates deep inspection to detect and neutralize PDF-based threats before they execute.

1

Environment Preparation

An AI agent sets up a secure, isolated environment to prevent accidental execution or infection:

  • Virtual Machine Setup: Uses VirtualBox, VMware, or Hyper-V with network isolation (host-only or NAT).
  • Snapshot Management: Takes clean snapshots before analysis and restores after each test.
  • Tool Deployment: Ensures availability of essential tools:
    • Static Analyzers: PDFiD, pdf-parser, Didier Stevens’ tools, peepdf.
    • Dynamic Tools: Cuckoo Sandbox (with PDF support), Any.Run, Hybrid Analysis.
    • Monitoring Tools: Process Monitor, Wireshark, Sysmon.
    • JavaScript Decoders: Custom deobfuscators, SpiderMonkey shell.
2

Static Analysis

An AI-driven agent inspects the PDF without rendering or executing it:

  • File Validation: Confirms actual PDF structure using magic bytes; detects fake extensions or hybrid files (e.g., PDF + ZIP).
  • Object & Stream Analysis: Parses PDF objects using pdf-parser; identifies obfuscated or compressed streams.
  • Malicious Keyword Detection: Flags:
    • /JavaScript, /AA (auto-actions), /OpenAction
    • /Launch (executes files), /URI (suspicious links)
    • eval(), app.launchURL(), doc.submitForm()
  • Embedded Content Detection: Extracts and analyzes embedded files (e.g., EXE, DOC, SWF) using peepdf or binwalk.
  • Hashing & IOC Matching: Computes MD5/SHA256 and checks against VirusTotal, AlienVault OTX, or internal threat DB.
3

Dynamic Analysis

The document is executed in a sandboxed environment to observe runtime behavior:

  • Controlled Rendering: Opens the PDF in a monitored reader (e.g., Adobe Acrobat Reader DC in sandbox).
  • Behavior Monitoring:
    • Tracks file drops (e.g., in %Temp%, %AppData%)
    • Logs registry changes (e.g., Run keys, COM objects)
    • Detects spawned processes (cmd.exe, mshta.exe, powershell.exe)
  • Network Activity: Captures C2 callbacks, beaconing, or data exfiltration via Wireshark.
  • JavaScript Execution Tracing: Logs JavaScript API calls within the PDF reader environment.
4

Advanced Analysis

For obfuscated or exploit-based PDFs, deeper techniques are applied:

  • JavaScript Deobfuscation: Reconstructs encoded scripts using AST parsing or emulation (e.g., in peepdf or custom engine).
  • Exploit Detection: Identifies use of known vulnerabilities (e.g., CVE-2013-0640, CVE-2018-4993) in PDF parsers.
  • Memory Forensics: Dumps reader process memory to extract dropped payloads or shellcode.
  • Entropy Analysis: Detects packed or encrypted payloads within streams.
5

Classification and Risk Assessment

An AI classification agent determines the threat type and risk level:

Threat Type

  • Malicious JavaScript: Auto-executing scripts that download payloads.
  • Embedded Payload: PDF contains a hidden executable or Office file.
  • Exploit Document: Triggers vulnerability in reader software.
  • Social Engineering Lure: Fake invoice, delivery notice, etc., with no active payload.

Risk Level

  • Low: Benign content, no scripts or embedded files.
  • Medium: Obfuscated JavaScript, suspicious URIs, but no execution.
  • High: Confirmed payload drop or C2 communication.
  • Critical: Exploit used with code execution or privilege escalation.
6

Reporting

A reporting agent generates a comprehensive analysis report:

  • Document Overview: Filename, hash, PDF version, author, creation date.
  • Threat Summary: Malware family (e.g., Emotet, IcedID), delivery method.
  • Indicators of Compromise (IOCs):
    • File hashes (MD5, SHA256)
    • URLs, domains, IP addresses
    • Dropped filenames, registry keys
  • TTPs (MITRE ATT&CK): T1059.004 (Visual Basic), T1204.002 (User Execution), T1071.001 (Web Protocols).
  • Mitigation Recommendations:
    • Disable JavaScript in PDF readers.
    • Use sandboxed viewers or convert PDFs to plain text.
    • Block IOCs at network level.
    • Update Adobe Reader and apply exploit mitigations.

AI Agent Coordination

A central AI coordinator manages the entire workflow, assigning tasks to specialized agents (static, dynamic, deobfuscation, classification). It enables real-time decision-making, adaptive analysis depth, continuous learning from new samples, and integration with SOAR/SIEM platforms for automated response and IOC sharing.

Neutralize PDF-Based Threats Automatically

MAIAT detects malicious JavaScript, embedded executables, and exploit code — turning passive documents into proactive threat intelligence.

See How MAIAT Automates PDF Analysis