Malicious PDF — malware analysis report

Static analysis result for SHA-256 b320500e677986ba…

MALICIOUS

PDF

28.3 KB
MD5: 3f6be5f891d9543dedb5ff29349233a9 SHA-1: 046d598f41a07eb21f542d18cf91bd1fb02c6200 SHA-256: b320500e677986ba3e8e55a53ba0af83745444ede585a58a4bed1e31a2e86012
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 maliciousness. While no specific exploit or payload was directly identified, the presence of these elements suggests an attempt to execute arbitrary code, likely for further exploitation or malware delivery.

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