PDF malware analysis — malicious · fff7f46c2a52cbd9

MALICIOUS

PDF

58.8 KB

MD5: 936387d3d91f11099eb1dac1317c4cbd SHA-1: ac66e9ca163d653b681fe848c1ee1be247bb1187 SHA-256: fff7f46c2a52cbd91abdf0c7ffcc99b13457d1a1818998493833ba26ed466aa0

134 Risk Score

Malware Insights

MITRE ATT&CK

T1204.002 Malicious File: Malicious JavaScript

The PDF file was flagged as malicious by an ML classifier and exhibits multiple JavaScript-related heuristics, including embedded JS streams and JavaScript actions. The presence of ASCIIHexDecode and ASCII85Decode filters, often used for obfuscation in malicious PDFs, further supports this assessment. The correlated malicious JavaScript signals indicate that the embedded script is likely designed to exploit vulnerabilities or download 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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