Malicious PDF — malware analysis report

Static analysis result for SHA-256 07f52989648e9b75…

MALICIOUS

PDF

24.1 KB
MD5: deab701acabe888c056ffd0e4eab929d SHA-1: 3d63ad5a08d0dda6a1c3c5bea57826c0f514b045 SHA-256: 07f52989648e9b7565edb795168174d661a1de549fa1411defb8a45cf27263ed
162 Risk Score

Malware Insights

MITRE ATT&CK
T1203 Exploitation for Client Execution T1059.007 JavaScript

The file is a PDF containing an XFA form that exploits CVE-2010-0188, a known vulnerability in Adobe Reader related to LibTIFF processing. The embedded script, which appears to be JavaScript, is likely responsible for executing the exploit. The ML classifier and ClamAV detection strongly indicate malicious intent, likely to achieve arbitrary code execution.

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/