PDF malware analysis — malicious · 2f1e1297b0cba6f0

MALICIOUS

PDF

30.3 KB

MD5: a12e9d52f27e8db313374600c0dc7c0d SHA-1: 0f580a39d3d72ed3fff6ab9f3397f63d9cb85152 SHA-256: 2f1e1297b0cba6f0f3bcaa89cd1094261969552e8966eee7976568863a537e63

74 Risk Score

Malware Insights

MITRE ATT&CK

T1059.001 PowerShell T1204.002 Malicious File

The PDF contains embedded JavaScript and uses ASCIIHexDecode and ASCII85Decode filters, which are common techniques for obfuscating malicious code within PDF documents. The ML classifier strongly indicates malicious intent. While no specific exploit or payload is detailed in the provided evidence, these filters and the embedded JavaScript suggest an attempt to exploit a PDF vulnerability and likely download or execute a secondary payload.

Machine Learning

Nyx PDF Classifier malicious score 1.0000

Heuristics 4

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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