Malicious PDF — malware analysis report

Static analysis result for SHA-256 37d9350030fa4fe6…

MALICIOUS

PDF

50.6 KB Created: 2020-12-28 05:53:49 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-05
MD5: 762a6c54765bbb4d770292ed25d164ac SHA-1: bf93b48d8153f53a0afdef840f630cb318a52dfc SHA-256: 37d9350030fa4fe676335264b508793e5c07db02cc2f8c7e0f2ee7c46166ef30
192 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF contains embedded links that redirect to a known malicious domain, identified by multiple heuristics as a malicious redirector and phishing lure. The document body, though heavily obfuscated, suggests a pretext of a 'caller info app' to entice clicks. ClamAV also detected this file as a phishing trojan.

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://traffking.ru/aws?utm_term=caller+info+app In PDF document text

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