Malicious PDF — malware analysis report

Static analysis result for SHA-256 67ca50f738e298af…

MALICIOUS

PDF

28.0 KB
MD5: dbbb116e226486c350cc29a00c486cec SHA-1: 8617c55be1b084b531aaebfd6572740486067780 SHA-256: 67ca50f738e298af4ae4f7c011919007f9ba1814eeb3a10783d7f876d9f332ed
102 Risk Score

Malware Insights

MITRE ATT&CK
T1059.007 JavaScript T1203 Exploitation for Client Execution T1566.001 Spearphishing Attachment

The PDF was flagged by a machine learning classifier and ClamAV as malicious, with specific heuristics indicating the use of XFA forms. The embedded URL, while seemingly benign, is part of the XFA structure. The presence of XFA suggests the potential for embedded JavaScript execution, a common technique for exploiting PDF vulnerabilities and delivering second-stage payloads.

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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