Malicious PDF — malware analysis report

Static analysis result for SHA-256 66634336e1667ed9…

MALICIOUS

PDF

24.1 KB
MD5: 4e96a03b03101c1c025867327f84346b SHA-1: c4ae091af1424904ce69a1450f09acc1fb09908b SHA-256: 66634336e1667ed93d1eb79e6c346c3a044f4d7602c275f658901be180a0a0e0
162 Risk Score

Malware Insights

MITRE ATT&CK
T1203 Exploitation for Client Execution

The PDF file contains an embedded XFA form that exploits the CVE-2010-0188 vulnerability in Adobe Reader. This exploit is designed to execute arbitrary code, likely to download and run a second-stage payload. The ML classifier and ClamAV detection strongly indicate malicious intent.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 5

  • Adobe Reader LibTIFF XFA image exploit — CVE-2010-0188 critical CVE likely CVE_2010_0188
    PDF contains the CVE-2010-0188 exploit template: XFA JavaScript heap-spray setup, a generated TIFF image payload, and assignment of that TIFF data to an XFA image field rawValue to trigger Adobe Reader's LibTIFF parser.
  • ClamAV: Pdf.Exploit.Agent-36821 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Exploit.Agent-36821
  • 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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