PDF malware analysis — malicious · 582191f64bb244a8

MALICIOUS

PDF

34.9 KB

MD5: 3655231879fe33f584066d812e91cd0f SHA-1: 8ce9354427a47d501a93b6dd2ffaff1656ee802b SHA-256: 582191f64bb244a899cc63014b9a2db767bd9a82dd3aa36bb4825ebafa59e905

134 Risk Score

Malware Insights

MITRE ATT&CK

T1204.002 Malicious File

The PDF file contains embedded JavaScript and utilizes encoding filters (ASCIIHexDecode, ASCII85Decode) often associated with exploit delivery. A machine learning classifier and correlated malicious JavaScript signals strongly indicate malicious intent. The primary attack vector appears to be JavaScript execution, likely to download and run a secondary payload.

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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