Malicious PDF — malware analysis report

Static analysis result for SHA-256 65cf56d2f42b74ee…

MALICIOUS

PDF

24.1 KB
MD5: 5918ac6e9e5faefc0ce3689936016114 SHA-1: 0059d33a52c6ebf817a597e3d7b7c0a17ac5a988 SHA-256: 65cf56d2f42b74ee6f4da68652d0b9b931d2265cdc914a3f94da05e092b58b88
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 and a machine learning classifier. It specifically targets CVE-2010-0188, an exploit in Adobe Reader related to LibTIFF XFA image processing, indicating an attempt to execute arbitrary code upon opening. The embedded URL, while seemingly benign, is part of the XFA template structure.

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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