Malicious PDF / .DAT — malware analysis report

Static analysis result for SHA-256 d5c857309548a104…

MALICIOUS

PDF / .DAT

19.7 KB
MD5: 01c871e04deb8be613313c25a27609a2 SHA-1: 2b69812c94237ed3289f5077bee406a12c9ea571 SHA-256: d5c857309548a104e23fe76657ce22496e2f160cbde5c45c5cb2043ca6c20639
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, the combination of these indicators points to a PDF designed to exploit vulnerabilities and likely download a second-stage payload.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

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