Malicious PDF — malware analysis report

Static analysis result for SHA-256 6fadcd96d8587527…

MALICIOUS

PDF

12.8 KB
MD5: 4400e27dddda768ef80e6c3a868ffb64 SHA-1: bc1734d05b86ca0c625a05d7323e5d86d81623d8 SHA-256: 6fadcd96d8587527373926e33b6fe41ef1973e6921563bcb0df72b1b14cde142
160 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 a machine learning classifier. Critical heuristics indicate exploitation of CVE-2010-0188 via XFA forms, a known vulnerability in Adobe Reader. The embedded URL, while seemingly benign, is present within the context of exploit-related findings. The presence of JavaScript-related heuristics suggests the exploit may leverage JavaScript for payload execution.

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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