Malicious PDF — malware analysis report

Static analysis result for SHA-256 7384dbe25254e9f0…

MALICIOUS

PDF

24.2 KB
MD5: 49cbf2fb19b48b4900195b9223f5af82 SHA-1: 7dd91e7ad904d9b42765e8dd12f23a0c366e9b67 SHA-256: 7384dbe25254e9f0815cc34ac325ac6f3968af90acb3767a25f14588dbc06793
162 Risk Score

Malware Insights

MITRE ATT&CK
T1203 Exploitation for Client Execution

The sample is a PDF file identified as malicious by multiple heuristics, including a critical finding for CVE-2010-0188, an Adobe Reader LibTIFF XFA image exploit. The ML classifier also flagged it with high confidence. The embedded URL is likely related to the XFA form structure, which is also noted.

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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