Malicious PDF — malware analysis report

Static analysis result for SHA-256 2758fb5af5061803…

MALICIOUS

PDF

31.9 KB
MD5: f6e73d9108aa7ba600dbe70e4fa30482 SHA-1: 4d56ed984b4f23a4e05437802fdf95257892a3fc SHA-256: 2758fb5af50618030113dd7334f7d9e3c1ae26c28ba9004bad0d064c480fc2a8
100 Risk Score

Malware Insights

MITRE ATT&CK
T1059.001 PowerShell T1204.002 Malicious File

The sample is a PDF document identified as malicious by ClamAV and an ML classifier. It contains an XFA form with embedded JavaScript, indicated by the PDF_XFA heuristic. The embedded URL and the nature of the ClamAV detection (Js.Exploit.HTML-30) suggest that the script is designed to exploit a vulnerability and likely download a second-stage payload. The PDF differential parser failure indicates potential obfuscation or structural manipulation.

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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