Malicious PDF — malware analysis report

Static analysis result for SHA-256 86726c7367ac1e77…

MALICIOUS

PDF

31.8 KB
MD5: 3408958cdf3daef5287ac68d428dee75 SHA-1: f74846128725efc03260871196bfc4a58b017f74 SHA-256: 86726c7367ac1e77573e9d20d073d5ca88f0b04896ad36350faa95c9732acc6f
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 a JavaScript exploit. The presence of an XFA form suggests an attempt to leverage form functionality for malicious purposes. The embedded URL, though seemingly benign, is often used in conjunction with exploit delivery mechanisms within PDFs.

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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