Malicious PDF — malware analysis report

Static analysis result for SHA-256 cf6ecff2239988b1…

MALICIOUS

PDF

28.5 KB
MD5: b784651f6cac630af81c9257a07014a1 SHA-1: 6c8e084cbc4cf1d6f37adf9b02db34cff552bb3a SHA-256: cf6ecff2239988b11292058a346590e1a3123534d9dcfb0ed4ff3b7762722ec3
100 Risk Score

Malware Insights

MITRE ATT&CK
T1059.001 PowerShell

The PDF file was flagged as malicious by a machine learning classifier and ClamAV, specifically detecting it as Js.Exploit.HTML-30. The presence of an XFA form suggests an attempt to leverage form functionality for exploitation. An embedded URL was also found, likely used to download a secondary payload. The exact nature of the exploit is unclear due to the differential parser failure, but the ClamAV signature points towards JavaScript-based exploitation.

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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