Malicious PDF — malware analysis report

Static analysis result for SHA-256 95ea479510667ccd…

MALICIOUS

PDF

17.6 KB Created: 2020-11-03 03:06:08 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: f182e9f56506feb775e87473d096d073 SHA-1: cde5c66cb4b55b58192f78704f9a7f1b5b345ce8 SHA-256: 95ea479510667ccd70bda4638254562a1f76d9b1a4d7ca6e3421e0bcd51da42d
112 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF file is identified as malicious due to its structure, which mimics a screenshot lure to entice users into clicking a link. The embedded URL, https://ggtraff.ru/aws?keyword=anatomy+and+physiology+book+pdf, is flagged as a malicious redirector, indicating it's part of a phishing or malware distribution chain. The ML classifier strongly supports the malicious verdict.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9921

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 17 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/aws?keyword=anatomy+and+physiology+book+pdf