Malicious PDF — malware analysis report

Static analysis result for SHA-256 62f5930d7d5aa3df…

MALICIOUS

PDF

24.2 KB
MD5: 7cd03b570b94703f93870839e58baaed SHA-1: 9814080a7b796b55c58a9851780c9d657cc2dc57 SHA-256: 62f5930d7d5aa3df612724a0af840304b85273daad8666c78001ff388970f814
162 Risk Score

Malware Insights

MITRE ATT&CK
T1203 Exploitation for Client Execution T1566.001 Spearphishing Attachment

The sample is a PDF document that leverages the CVE-2010-0188 vulnerability in Adobe Reader's LibTIFF component to execute arbitrary code. The XFA form structure and the embedded exploit payload strongly indicate malicious intent. The ML classifier and ClamAV detection further corroborate this assessment.

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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