Malicious PDF — malware analysis report

Static analysis result for SHA-256 24c947e2d2614ec3…

MALICIOUS

PDF

10.2 KB Created: 2020-10-07 11:41:15 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-24
MD5: e010085d92b73ac884c6b906d2584706 SHA-1: f9bfec4b5424db0cf4047baed47ae62b31018559 SHA-256: 24c947e2d2614ec36446b2afc61df364b2b4944bdd91fb2e94db7ff6d17ef4dc
112 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

This PDF document was flagged as malicious by an ML classifier. The file routes users through malicious redirector infrastructure and uses an image-based lure. Specific URLs and indicators for this sample are listed in the indicators section.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9959

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 10 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://cctraff.ru/strik?keyword=irrational+exuberance+robert+shiller+pdf In PDF document text
    • https://site-1041289.mozfiles.com/files/1041289/38532458677.pdfIn PDF document text
    • https://site-1037875.mozfiles.com/files/1037875/20325864764.pdfIn PDF document text
    • https://site-1036867.mozfiles.com/files/1036867/89808605057.pdfIn PDF document text

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