Malicious PDF — malware analysis report

Static analysis result for SHA-256 7117e0cf95cfffea…

MALICIOUS

PDF

24.2 KB
MD5: 834a5a11bea7cc853d74d851a8d23bea SHA-1: a86d34d83cdeffc1273fddfe2bcfe020d3438545 SHA-256: 7117e0cf95cfffeabd7bc97744b254bbcd982777a8753ac9ebd3b050662da461
162 Risk Score

Malware Insights

MITRE ATT&CK
T1203 Exploitation for Client Execution

The file is a PDF that contains an XFA form, which is leveraged to exploit CVE-2010-0188 in Adobe Reader. This exploit is designed to execute arbitrary code on the victim's machine. The ML classifier and ClamAV detection strongly indicate malicious intent, and the embedded URL, while seemingly benign, is part of the XFA 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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