Malicious PDF — malware analysis report

Static analysis result for SHA-256 30c1ccab89d46f15…

MALICIOUS

PDF

40.4 KB Created: 2021-01-05 20:05:00 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-05
MD5: abb2093210822ddb60032afdfbade1bd SHA-1: 72d9dbe520336c98c8a6471b9e8608726cefc18f SHA-256: 30c1ccab89d46f15ce810639cbd13bfea1d8453c08c4050e95eb91072c494760
192 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF contains a link to a known malicious redirector, indicating a phishing or malware distribution attempt. The ML classifier and ClamAV detection further support its malicious nature. Although no scripts were extracted, the presence of a malicious URL strongly suggests the document's intent is to redirect the user to a harmful site.

Machine Learning

  • Nyx PDF Classifier malicious score 0.5431

Heuristics 4

  • ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
  • 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=cars+fast+as+lightning+apptoko In PDF document text