Malicious PDF — malware analysis report

Static analysis result for SHA-256 e434816cab34b27e…

MALICIOUS

PDF

3.8 KB
MD5: cc06a95c07565408a9574092f6ed9c64 SHA-1: 95e11af3ff699652745abb1d216f720d9d9fd4f3 SHA-256: e434816cab34b27e2203d867db936e0053938ffe301ed396ad0b77df4dd32a8d
142 Risk Score

Malware Insights

MITRE ATT&CK
T1059.001 PowerShell T1204.002 Malicious File

The file is identified as a malicious PDF by ClamAV and a machine learning classifier. Heuristics indicate the presence of JavaScript and the use of ASCIIHexDecode and ASCII85Decode filters, which are commonly used in PDF exploits. The ML classifier output of 0.999983 strongly suggests malicious intent. The PDF structure and exploit indicators point towards a known exploit pattern for PDF vulnerabilities.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 6

  • ClamAV: Pdf.Exploit.Agent-36178 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Exploit.Agent-36178
  • 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.
  • String.fromCharCode low PDF_FROMCHARCODE
    String.fromCharCode found — used to construct payload strings dynamically. Common in benign JavaScript libraries for codepoint manipulation, so this alone is informational; weaponised use is also caught by the dedicated fromCharCode-stage and exploit-shape rules. (matched inside decoded stream)
  • ASCII85Decode filter (with exploit indicators) low PDF_FILTER_85
    ASCII85 encoding filter present alongside exploit delivery indicators — uncommon outside of obfuscation