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.
An AI agent sets up a secure, isolated environment to prevent accidental execution or infection:
An AI-driven agent inspects the PDF without rendering or executing it:
pdf-parser; identifies obfuscated or compressed streams./JavaScript, /AA (auto-actions), /OpenAction/Launch (executes files), /URI (suspicious links)eval(), app.launchURL(), doc.submitForm()peepdf or binwalk.The document is executed in a sandboxed environment to observe runtime behavior:
%Temp%, %AppData%)cmd.exe, mshta.exe, powershell.exe)For obfuscated or exploit-based PDFs, deeper techniques are applied:
An AI classification agent determines the threat type and risk level:
A reporting agent generates a comprehensive analysis report:
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.
MAIAT detects malicious JavaScript, embedded executables, and exploit code — turning passive documents into proactive threat intelligence.
See How MAIAT Automates PDF Analysis