PDF malware analysis — malicious · 3f877adeff5874c3

MALICIOUS

PDF

26.7 KB

MD5: 819711852cea2f000c53b8434cabf225 SHA-1: 016a8a56e218808b2c4431604b3bad174b34f588 SHA-256: 3f877adeff5874c3c0e175336bd3f4f243710fc4e316222aea9d84dca5057e7e

134 Risk Score

Malware Insights

MITRE ATT&CK

T1204.002 Malicious File

The PDF was flagged as malicious by an ML classifier with high confidence. Heuristics indicate the presence of JavaScript actions and embedded JS streams, along with ASCIIHexDecode and ASCII85Decode filters, which are often used to obfuscate malicious code within PDFs. The correlated malicious JavaScript signals further support this assessment.

Machine Learning

Nyx PDF Classifier malicious score 1.0000

Heuristics 5

Correlated malicious PDF JavaScript signals critical PDF_CORRELATED_MALICIOUS_JS

PDF JavaScript or auto-action content is corroborated by exploit staging, ML, or suspicious extracted-artifact findings. This correlation promotes old exploit-kit PDFs that otherwise remain in the suspicious band because each individual signal is intentionally weighted conservatively.
ASCIIHexDecode filter (with exploit indicators) medium PDF_FILTER_HEX

Hex-encoding filter present alongside exploit delivery indicators — often used to hide payload or shellcode bytes
JavaScript action low PDF_JAVASCRIPT

PDF contains a /JavaScript action. Generic JavaScript is common in benign forms; specific dangerous APIs are scored by separate rules.
Embedded JS stream low PDF_JS

PDF references a /JS stream. Generic JavaScript is common in benign forms; specific dangerous APIs are scored by separate rules.
ASCII85Decode filter (with exploit indicators) low PDF_FILTER_85

ASCII85 encoding filter present alongside exploit delivery indicators — uncommon outside of obfuscation

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