Malicious PDF — malware analysis report

Static analysis result for SHA-256 993ebeccf4811f9f…

MALICIOUS

PDF

33.4 KB
MD5: e5c81e0bef08ab1a41c818ecbcaa3c16 SHA-1: 89bcfb607d42ab8817fe2df485714d35db21d289 SHA-256: 993ebeccf4811f9f227bef3c880d91e072fe2523d3b4d23c91389a00e0bd5062
74 Risk Score

Malware Insights

MITRE ATT&CK
T1059.001 PowerShell T1204.002 Malicious File T1027 Obfuscated Files or Information

The PDF contains embedded JavaScript and uses ASCIIHexDecode and ASCII85Decode filters, which are common techniques for obfuscating malicious content within PDFs. The ML classifier strongly indicates maliciousness, suggesting the file is intended to exploit vulnerabilities and likely download a secondary payload.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

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