Malicious PDF — malware analysis report

Static analysis result for SHA-256 1ce951d4efcb6728…

MALICIOUS

PDF

31.5 KB
MD5: 0c00f97f880fd91b2a6a2ae42a4c0129 SHA-1: 22388b8cf8dd1ad732674e0978f4a8b00b65c4b3 SHA-256: 1ce951d4efcb67282da061298a5e8b8bf12a058f85c9d58cb16bc06ec11c472a
100 Risk Score

Malware Insights

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

The PDF utilizes XFA forms, a known vector for embedding malicious content. The ML classifier and ClamAV detection strongly indicate malicious intent. The embedded URL, while seemingly benign, is part of the XFA structure and likely used in conjunction with the obfuscated JavaScript to initiate a malicious download or exploit.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • ClamAV: Js.Exploit.HTML-30 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Js.Exploit.HTML-30
  • XFA form low PDF_XFA
    PDF uses XML Forms Architecture — can contain script logic
  • PDF differential parser failed info PDF_DIFFERENTIAL_PARSE_FAILED
    The cross-check parser (pdfminer.six) failed on this file: PDF differential parser failed: PSEOF. Static heuristics still ran and any of their findings above are valid; only the differential cross-check signal is missing.
  • Embedded URL info EMBEDDED_URL
    One or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.
    URL http://www.xfa.org/schema/xfa-template/2.5/

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