Malicious PDF — malware analysis report

Static analysis result for SHA-256 68e01772c261d3b1…

MALICIOUS

PDF

34.4 KB
MD5: b4b6db1e649f87b955b238c5cababefb SHA-1: e0cadcd57e03a9ac35522415a4736e93a5f171f8 SHA-256: 68e01772c261d3b1de2360405a8803d7d8e16e82d95e9215b05e32d10fa3cc4a
74 Risk Score

Malware Insights

MITRE ATT&CK
T1059.007 JavaScript T1203 Exploitation for Client Execution

The sample is a PDF file flagged as malicious by a machine learning classifier. Static analysis detected embedded JavaScript and the use of ASCIIHexDecode and ASCII85Decode filters, which are often used to obfuscate malicious code within PDFs. The presence of JavaScript indicates an attempt to execute code, likely exploiting a vulnerability in the PDF reader.

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