Malicious PDF — malware analysis report

Static analysis result for SHA-256 60046fa902cdac9f…

MALICIOUS

PDF

24.1 KB
MD5: 38973f88b086da567008cd1a88642372 SHA-1: 9ded74f21549fc256207286e50d0b06e5f397bca SHA-256: 60046fa902cdac9ffb7c88a0836c6c369965a507db7cc0884262396faf55a1dd
162 Risk Score

Malware Insights

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

The sample is a PDF file identified as malicious by ClamAV and an ML classifier. It contains an XFA form and exploits CVE-2010-0188, a known vulnerability in Adobe Reader related to LibTIFF processing within XFA forms. This exploit allows for the execution of arbitrary code on the victim's machine, likely delivered via spearphishing.

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/