Malicious PDF — malware analysis report

Static analysis result for SHA-256 9057712d51c4e5ec…

MALICIOUS

PDF

31.5 KB Created: 2020-10-05 14:54:30 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: d65826dbe2b4bba3ea6e1957c74e0637 SHA-1: c5a8708059eecdc8e39874457bacaf5d62b08fb0 SHA-256: 9057712d51c4e5ec2fd2b2914b48b9b0d3fff7f5db34ae991355b8dba1b8eedb
152 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF contains a heuristic firing for a malicious redirector link pointing to 'https://gettraff.ru/strik?keyword=manual+wheelchair+sizes'. The document body, though heavily obfuscated, appears to contain this URL, suggesting a phishing or scam attempt. The presence of numerous other benign Shopify links indicates a potential link farm strategy to obscure the malicious destination.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9996

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.
  • Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM
    Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
  • 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://gettraff.ru/strik?keyword=manual+wheelchair+sizes
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