PDF malware analysis — malicious · fc7ac0488e3f6bd4

MALICIOUS

PDF

27.8 KB

MD5: 29d42844057d01a13e640f71554c95de SHA-1: ca93a87518db44f76cd7d1d9f733011174a0050b SHA-256: fc7ac0488e3f6bd42161a19798305a5c90eaf06b8a3bb6734caf5a31801c3514

134 Risk Score

Malware Insights

MITRE ATT&CK

T1204.002 User Execution: Malicious File

The PDF contains embedded JavaScript, which is flagged as malicious and correlated with other malicious signals. The ML classifier also strongly indicates maliciousness. The use of ASCIIHexDecode and ASCII85Decode filters further suggests obfuscation and potential exploit delivery. The primary attack pattern involves leveraging PDF vulnerabilities to execute JavaScript, likely to download and run a second-stage 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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