Malicious PDF — malware analysis report

Static analysis result for SHA-256 6bc68c122b339c05…

MALICIOUS

PDF

24.2 KB
MD5: 48a3a09e4160bd29db17feadbb94c3e5 SHA-1: 7101b9ed94ba4814d4a4559ed20b463d2aba1aad SHA-256: 6bc68c122b339c054394c76cbf4a3cbcce2fbadc6dae5cd3126abc0bc0f6e656
162 Risk Score

Malware Insights

MITRE ATT&CK
T1203 Exploitation for Client Execution

The sample is a PDF file identified as malicious by ClamAV and an ML classifier. It contains an XFA form and exploits the CVE-2010-0188 vulnerability in Adobe Reader's LibTIFF component to achieve code execution. The embedded URL is likely related to the XFA template, but its direct role in the exploit is unclear.

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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