Malicious PDF — malware analysis report

Static analysis result for SHA-256 4008522d7a7d17d7…

MALICIOUS

PDF

31.3 KB
MD5: c9a379403f6a686a9ea8e290bfd88c1c SHA-1: a2b7c6a6db5f8e04ffc6c6fec7cf3e16d0426c95 SHA-256: 4008522d7a7d17d7431c0ce92c36f22b10c1001b0fe3a049acd0a3aeec4c050f
160 Risk Score

Malware Insights

MITRE ATT&CK
T1203 Exploitation for Client Execution T1059.001 PowerShell

The sample is a PDF document that triggers the CVE-2010-0188 exploit, targeting a vulnerability in Adobe Reader's handling of XFA forms. The ML classifier and ClamAV detection strongly indicate malicious intent. The embedded URL is likely related to the exploit's payload delivery or command and control.

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: 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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