Malicious PDF — malware analysis report

Static analysis result for SHA-256 18317e1bead391d0…

MALICIOUS

PDF

24.1 KB
MD5: 0022a4d8fb5078a181f0986721dbd3a7 SHA-1: 7eff1358918faaa291a7171e316796ff1a3f3603 SHA-256: 18317e1bead391d0fb10800e0f6126aba99cc741913a8dd083b022bf78580e07
162 Risk Score

Malware Insights

MITRE ATT&CK
T1203 Exploitation for Client Execution

The sample is a PDF file that leverages the XFA form feature to exploit CVE-2010-0188 in Adobe Reader, allowing for arbitrary code execution. The ML classifier and ClamAV also strongly indicate maliciousness. The embedded URL is likely related to the XFA template but has no reputation.

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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