Malicious PDF — malware analysis report

Static analysis result for SHA-256 6765f018fd799579…

MALICIOUS

PDF

20.6 KB Created: 2020-10-26 18:06:58 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-05
MD5: b27374ad6834605b9b126ac475786209 SHA-1: 9cb7b59f18f68e7ba24933c12c999a454b8cfad8 SHA-256: 6765f018fd799579d28f1e2c2cd50d6959f174598dc6f5f38e63549cdc8da23a
132 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF contains a link that redirects to a known malicious domain, identified by the PDF_MALICIOUS_REDIRECTOR_LINK heuristic. The link is presented as a lure for free downloads, indicating a phishing attempt. No scripts were extracted from this sample, but the embedded URL is the primary indicator of malicious activity.

Machine Learning

  • Nyx PDF Classifier malicious score 0.7877

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 lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINK
    PDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
  • 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/aws?keyword=antiarrhythmic+medications+pdf In PDF document text