Malicious PDF — malware analysis report

Static analysis result for SHA-256 091b70266689e0cc…

MALICIOUS

PDF

24.3 KB
MD5: 62017e532416491a906d85bc876705fb SHA-1: c21292d8fba341ddfb9c3590069367917923476d SHA-256: 091b70266689e0cc2a6acee53eea0305ab2f9a72a9275419a5efbc425c4a8d09
160 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 multiple engines, including ClamAV and a machine learning classifier. It contains an XFA form and exploits CVE-2010-0188, a known vulnerability in Adobe Reader's handling of LibTIFF images within XFA forms. This exploit allows for arbitrary code execution, likely to download and run a second-stage payload.

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: 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
  • 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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