Malicious PDF — malware analysis report

Static analysis result for SHA-256 69029d4907a069fe…

MALICIOUS

PDF

14.4 KB
MD5: 552c41d4b820dde1f449aaf8688d8897 SHA-1: 2ea62defb40a2408ab527a2fb52ad6f41ec10f9f SHA-256: 69029d4907a069fe73a65f1f3b78d46db8b4d104da8ebe4bdc88c8211229cf4b
202 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 for client-side execution. ClamAV also detected it as Js.Exploit.HTML-30, indicating potential JavaScript exploitation. The embedded URL is likely related to the XFA template, but its direct maliciousness is unconfirmed.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 6

  • 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 numeric character-table eval stager high PDF_XFA_NUMERIC_EVAL_STAGER
    PDF XFA initialize script reads numeric form data from rawValue, maps the values through a short character table, and evals the reconstructed stage. This is an exploit-kit staging technique even when the final decoded layer remains encoded.
  • 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/