Malicious PDF — malware analysis report

Static analysis result for SHA-256 0d239e6f89df9974…

MALICIOUS

PDF

24.1 KB
MD5: e59945e54d6ebf6456d9e3aaeec76d69 SHA-1: d059a6b07f28109111ea19232d6bf728a5593773 SHA-256: 0d239e6f89df9974edbcf6bb90c0278298db031625dc5d366dc18a23f52a4cf2
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, which is an Adobe Reader exploit targeting XFA forms. The ML classifier also strongly flagged this file. The embedded URL is likely related to the XFA template, but its direct maliciousness is unknown.

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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