Malicious PDF — malware analysis report

Static analysis result for SHA-256 a9839bf97df63bab…

MALICIOUS

PDF

50.6 KB Created: 2020-10-23 12:31:07 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: af57c8e34f7763983dbc4f3235445e06 SHA-1: 81f5b8bb820a60dc6476abc7b7e09d295d3fcc6e SHA-256: a9839bf97df63bab71cc5643c95bb9dc41fcbd116151028848694ba482f0fb1d
112 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF file is identified as malicious due to its structure, which resembles a screenshot lure designed to trick users into clicking a link. The embedded URL, https://ggtraff.ru/aws?keyword=canary+wharf+map+pdf, is flagged as a known malicious redirector. The ML classifier also strongly indicated maliciousness.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9446

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 50 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=canary+wharf+map+pdf