Malicious PDF — malware analysis report

Static analysis result for SHA-256 608270b68c663182…

MALICIOUS

PDF

14.0 KB
MD5: 2094af1f3f4fdaec058b36a492025e87 SHA-1: bc73f1bcd137da053fcdef47b213ba5352a59821 SHA-256: 608270b68c663182f501439570d52399d4ae410fdcc1bd6264c082e6015b6164
162 Risk Score

Malware Insights

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

The sample is a PDF file identified as malicious by multiple engines, including ClamAV and an ML classifier. It contains an exploit for CVE-2010-0188 targeting Adobe Reader's LibTIFF component via XFA forms. The embedded URL is likely part of the exploit or a secondary payload delivery mechanism.

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: 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
  • 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/

Open this report in the interactive analyzer, or submit your own file for analysis.