Malicious PDF — malware analysis report

Static analysis result for SHA-256 0afdee30ce77f163…

MALICIOUS

PDF

49.2 KB Created: 2020-12-24 20:11:47 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-05
MD5: d661ca051978e80e923c981a3b11f3e0 SHA-1: 80daeafb70d6bb8ed9681555ff31c2d33c475835 SHA-256: 0afdee30ce77f1630ddfda23826e09acc9019e052092959bb456966fecabc348
192 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF contains a link that redirects to known malicious infrastructure, identified by the PDF_MALICIOUS_REDIRECTOR_LINK heuristic. The ML_NYX_PDF_MALICIOUS classifier also flagged the document. The embedded URL is likely intended to lead the user to a phishing or malware download site, disguised as a free download.

Machine Learning

  • Nyx PDF Classifier malicious score 0.6121

Heuristics 4

  • ClamAV: Pdf.Phishing.Trojan-d2528dad23a95d95-d2528dad23a95d95-10044376-0 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Phishing.Trojan-d2528dad23a95d95-d2528dad23a95d95-10044376-0
  • 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://traffmen.ru/aws?utm_term=the+avalanches+because+i%2527+m+me+free In PDF document text

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