Malicious PDF — malware analysis report

Static analysis result for SHA-256 a413f2e00c55705e…

MALICIOUS

PDF

28.3 KB
MD5: b6a6bd2532896697c79b77dfb306405e SHA-1: 9a16b15cbb4faf66a312aa162c49a6c956dea6b8 SHA-256: a413f2e00c55705e32848061f0e8e7f3d32c107415cf0525b4d4005d4876ba79
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, which identified it as Js.Exploit.HTML-30. The presence of an embedded URL and XFA form suggests an attempt to exploit vulnerabilities within the PDF reader. The ML classifier's high confidence score supports this assessment.

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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