Malicious PDF — malware analysis report

Static analysis result for SHA-256 eb09e72073db4a4b…

MALICIOUS

PDF

31.9 KB
MD5: b4ccd4e012396862fdf9003a2ed04c7e SHA-1: 568efcd0d11d4df1c371912d8a517c3ea24c039f SHA-256: eb09e72073db4a4b72b3261460296111c255c265141eb820c426f868d8442b0b
100 Risk Score

Malware Insights

MITRE ATT&CK
T1059.001 PowerShell

The PDF was flagged by a machine learning classifier and ClamAV as malicious, specifically identifying it as Js.Exploit.HTML-30. The presence of XFA form elements and an embedded URL suggests an attempt to exploit vulnerabilities within the PDF reader or leverage user interaction for malicious purposes. The embedded URL, while not directly executable, points to a potential source of malicious content.

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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