Malicious PDF — malware analysis report

Static analysis result for SHA-256 9d11156f27de16fd…

MALICIOUS

PDF

32.0 KB Created: 2020-11-04 04:12:55 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 762fa306fb20acd8bc5374aaa3cc5777 SHA-1: c6d68b723ce868f99f4ede454a68e9dc8b89505d SHA-256: 9d11156f27de16fd690ed368a82473cfa09cdb4bd510a07409e9cd624e6dfbf0
112 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF is identified as an image-only document designed as a phishing lure, containing a clickable action that redirects to a known malicious URL. The ML classifier strongly indicates maliciousness, and the embedded URL is confirmed as a redirector to potentially harmful content.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9848

Heuristics 3

  • PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK
    PDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
  • Image-only document with action trigger (screenshot lure) medium PDF_IMAGE_LURE
    PDF has 1 image(s), only 0 text block(s), carries a click-outward action, and is only 32 KB — typical shape of a phishing lure where a full-page screenshot hides a clickable button that launches or submits to an attacker URL.
  • 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 https://ggtraff.ru/strik?keyword=geometry+benchmark+test+1+answers

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