Malicious PDF — malware analysis report

Static analysis result for SHA-256 854b62fe65b73d25…

MALICIOUS

PDF

28.5 KB
MD5: 2c279272799e14ed7e98eee281c87970 SHA-1: 6eba3367fcda2af6fb705f67017a61bef9e72f66 SHA-256: 854b62fe65b73d2590168e3d5b2a2fc5adbafdb68a640f9ed46931650fa47719
102 Risk Score

Malware Insights

MITRE ATT&CK
T1059.007 JavaScript T1203 Exploitation for Client Execution T1566.001 Spearphishing Attachment

The PDF file was flagged as malicious by a machine learning classifier and ClamAV, specifically detecting embedded JavaScript exploits. The presence of an XFA form further indicates a likely exploitation vector. The embedded JavaScript, although obfuscated, is the primary mechanism for executing malicious code, potentially leading to further exploitation or payload delivery.

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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