PDF malware analysis — malicious · 33633f57c5981d5d

MALICIOUS

PDF

29.2 KB

MD5: 7c55f01724cdc4375e8df6502f70ffe0 SHA-1: 7064f1550751f1e6fede7b4cb1bd20b88613f48e SHA-256: 33633f57c5981d5d0d86ab30fe75e713ff1948bec991a09c6233acf75292e8a2

134 Risk Score

Malware Insights

MITRE ATT&CK

T1204.002 Malicious File: Malicious File

The PDF file contains embedded JavaScript and utilizes ASCIIHexDecode and ASCII85Decode filters, which are often used to obfuscate malicious code. A machine learning classifier strongly flagged this PDF as malicious, correlating with the presence of JavaScript. 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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