Malicious PDF — malware analysis report

Static analysis result for SHA-256 9f599d5a6c5fbb24…

MALICIOUS

PDF

32.0 KB
MD5: e1fd6c8b3bbbcc0bf000402cff185ddf SHA-1: b1adf9471fa0151dab5eb8211f30cf5e8953e67e SHA-256: 9f599d5a6c5fbb2420b0e7ff98502c561b6abb7e53c9197ce07cf8e0208ea718
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 detecting JavaScript exploits. The presence of an XFA form suggests an attempt to leverage form functionality for malicious purposes. While no explicit script was extracted, the ClamAV detection 'Js.Exploit.HTML-30' indicates JavaScript-based exploitation is likely occurring within the PDF, potentially leading to the download of a second-stage 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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