Malicious PDF — malware analysis report

Static analysis result for SHA-256 5d98541ea256de5c…

MALICIOUS

PDF

24.1 KB
MD5: bdf0d5eb8b30bc97762751085f493d72 SHA-1: 53ff3efea4fe5da0594aadb1f4b5ce0323215e51 SHA-256: 5d98541ea256de5c29e465867bd84ba39b234c8c722de3ba4c8fedbe06e9b6da
162 Risk Score

Malware Insights

MITRE ATT&CK
T1203 Exploitation for Client Execution

The sample is identified as malicious by multiple heuristics, including a critical finding for CVE-2010-0188, an Adobe Reader LibTIFF XFA image exploit. The ML classifier also strongly flags this PDF as malicious. The embedded URL is likely part of the exploit chain, though its specific function is not detailed.

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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