Malicious PDF — malware analysis report

Static analysis result for SHA-256 1606344a54e87bc4…

MALICIOUS

PDF

24.1 KB
MD5: 2882fc39ac84d0d1d0e0d3b0aefddf3d SHA-1: 3f65b5a0205859d4fb701c05e611ea51a88a9cee SHA-256: 1606344a54e87bc41fb006bb318818bb49bdcaaa65d99a812484f49ad6f37278
160 Risk Score

Malware Insights

MITRE ATT&CK
T1203 Exploitation for Client Execution

The sample is a PDF file that contains an XFA form, which is a known vector for exploiting Adobe Reader vulnerabilities. Specifically, the 'CVE_2010_0188' heuristic indicates exploitation of the LibTIFF vulnerability in Adobe Reader. This exploit likely leads to the execution of a second-stage payload, as suggested by the ML classifier and ClamAV detection.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • 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
  • 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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