Malicious PDF — malware analysis report

Static analysis result for SHA-256 d2b9dd7f111d32be…

MALICIOUS

PDF

31.5 KB
MD5: ec3f52dea680d5f70cb70a09a980313d SHA-1: da7555cfd539829aea95c5e529ac5a159ede1621 SHA-256: d2b9dd7f111d32be888c09088854eb465efaa58b9d0a7cf87686f99a1f1e878f
160 Risk Score

Malware Insights

MITRE ATT&CK
T1204 Malicious Link T1204.002 Malicious Link: Malicious File T1059 Command and Scripting Interpreter

The PDF file contains an XFA form and triggers the CVE-2010-0188 exploit, which is known to target Adobe Reader. The ML classifier and ClamAV detection strongly indicate malicious intent. The embedded URL is likely part of the exploit chain.

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: Js.Exploit.HTML-30 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Js.Exploit.HTML-30
  • 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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