Malicious PDF — malware analysis report

Static analysis result for SHA-256 cc65589b26147a7b…

MALICIOUS

PDF

32.0 KB
MD5: b275beb0d4657a00d2a209babc266c2d SHA-1: 55925b9b9207e33260afccb001e0aad28e774bd6 SHA-256: cc65589b26147a7baaefa4736d0fc4b49492ddf324ed0e5c82b90f049624cf8f
100 Risk Score

Malware Insights

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

The PDF was flagged by a machine learning classifier and ClamAV as malicious (Js.Exploit.HTML-30). The presence of an embedded URL and XFA form suggests an attempt to exploit vulnerabilities within the PDF reader. The ClamAV detection indicates embedded JavaScript is likely responsible for the malicious activity, potentially downloading and executing additional payloads.

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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