Malicious PDF — malware analysis report

Static analysis result for SHA-256 cbb1c9675b0c4c47…

MALICIOUS

PDF

31.9 KB
MD5: f1cc9eb893a471f9c8dc47549d81abf1 SHA-1: d1a979ae856d36f1b0f2d460a6c65eb439a7ade2 SHA-256: cbb1c9675b0c4c47dafb84dfd1f4123291fc95796a8127f03a2af1a9557a6bd3
100 Risk Score

Malware Insights

MITRE ATT&CK
T1204.002 Malicious File: User Execution: Malicious File T1566.002 Phishing: Spearphishing Attachment

The file is a PDF identified as malicious by both ClamAV (Js.Exploit.HTML-30) and a machine learning classifier. It utilizes XFA forms, a known vector for PDF exploits. The embedded URL, while seemingly benign, is part of the exploit structure. The primary attack pattern involves luring the user into opening a malicious PDF that likely executes embedded JavaScript to download and run a secondary payload.

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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