Malicious PDF — malware analysis report

Static analysis result for SHA-256 15a04a4b55c98a4f…

MALICIOUS

PDF

20.2 KB
MD5: be2388b5be55cd9484c0000750c462d3 SHA-1: 590087bab1e194efee4ebe05bcfe56cced5e57b8 SHA-256: 15a04a4b55c98a4f25410a9f8c65d6c737c80853f60b16b2d6fde54ae18479be
162 Risk Score

Malware Insights

MITRE ATT&CK
T1203 Exploitation for Client Execution T1059.007 JavaScript

The sample is a PDF file identified as malicious by multiple heuristics and a machine learning classifier. It contains an XFA form which is exploited using CVE-2010-0188, a known vulnerability in Adobe Reader. The embedded URL is likely related to the XFA template, but the primary malicious activity stems from the exploit execution.

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-36826 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Exploit.Agent-36826
  • 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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