PDF malware analysis — malicious · bc894df71862a592

MALICIOUS

PDF

34.6 KB

MD5: 5d47b318b55c130ef30702026605ed6b SHA-1: aa8e8676504d2efccbf60d71374c2dcb7bbebe94 SHA-256: bc894df71862a592bbf4a46e03241e66b563f665aab7b0993c3065a55ce059a7

134 Risk Score

Malware Insights

MITRE ATT&CK

T1204.002 Malicious File: Malicious File

The PDF contains embedded JavaScript and utilizes ASCIIHexDecode and ASCII85Decode filters, which are commonly used to obfuscate malicious code within PDF documents. The ML classifier strongly indicates maliciousness, and the correlated signals confirm the presence of malicious JavaScript. The primary attack vector appears to be exploiting a PDF vulnerability to execute arbitrary code.

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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