Malicious PDF — malware analysis report

Static analysis result for SHA-256 a086229c1727c45c…

MALICIOUS

PDF

27.1 KB
MD5: 47a0d13a72d49d98c6b046093889ed35 SHA-1: 8755374675bba700d5aa229de43061b8110b337b SHA-256: a086229c1727c45cdaeffe10819e84dfd277f4cb4d20c38bc73a659a58fa749e
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 content within PDF files. The ML classifier strongly indicates maliciousness. While no specific exploit or payload is detailed in the provided evidence, these indicators suggest the PDF is intended to exploit a vulnerability and likely download or execute a secondary payload.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9999

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