Upload any PDF, get a full forensic report in seconds. PQ PDF runs 44 engines: behavioral sandbox (six PDF renderers), YARA, ClamAV, ML anomaly detection, JavaScript AST deobfuscation, XFA analysis, CVE exploit pattern matching, PDF
signature forgery detection, and offline threat intel across 6.4M+ indicators. Results include MITRE ATT&CK mapping and an AI forensic report. No account needed. Files deleted immediately.
PQ PDF is a privacy‑first PDF security suite with 45 tools. It combines 20+ static, dynamic, ML, and differential‑parsing engines to analyze PDFs for exploits, scripts, obfuscation, and structural anomalies. Beyond threat scanning, PQ PDF includes tools for structure inspection, metadata review, object diffing, and safe transformations, so engineers and security teams can actually understand what a PDF is doing, not just get a green checkmark.
PQ PDF — 45 Tools and PDF Security45 privacy‑first PDF tools with security & threat analysis.Mar 2026
