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PQ PDF
44-engine PDF malware scanner — free, zero retention
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.
Hey PH! I built this after getting frustrated with VirusTotal returning "0/72" on PDFs that were clearly malicious — signature scanners only catch known threats.
PQ PDF takes a different approach: six renderers parse the same file simultaneously and flag discrepancies (hidden objects, parser-confusion exploits, shadow object trees). Stack that with YARA, ClamAV, ML anomaly detection, JS AST deobfuscation, and 6.4M+ offline threat indicators — all free, no account, zero retention.
Happy to answer how any of the 44 engines work. What would you want to see added?
About PQ PDF on Product Hunt
“44-engine PDF malware scanner — free, zero retention”
PQ PDF was submitted on Product Hunt and earned 6 upvotes and 2 comments, placing #61 on the daily leaderboard. 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.
On the analytics side, PQ PDF competes within Productivity and Developer Tools — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how PQ PDF performed against the three products that launched closest to it on the same day.
Who hunted PQ PDF?
PQ PDF was hunted by Allan Riddel. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of PQ PDF including community comment highlights and product details, visit the product overview.
Allan Riddel