This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
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?
This is a serious build, Allan. The six-renderer discrepancy idea stood out to me because it feels like a smarter way to catch parser-confusion attacks than relying only on signatures.
Curious which part was hardest to get right: coordinating the different renderers, reducing false positives, or turning all the engine outputs into a report that users can actually understand?
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.
PQ PDF was featured in Productivity (652.3k followers) and Developer Tools (512.9k followers) on Product Hunt. Together, these topics include over 204.3k products, making this a competitive space to launch in.
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.
Want to see how PQ PDF stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Allan Riddel