Malicious PDF — malware analysis report

Static analysis result for SHA-256 c8715629140c794b…

MALICIOUS

PDF

53.8 KB Created: 2020-10-28 22:07:20 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-07
MD5: 8eb83a00ef9a87cd7f004469f5a14675 SHA-1: ea3c8f1ee15a3e76d79191b36d2b978a01247edd SHA-256: c8715629140c794b20a22d5d3f585ae4c1831c99df365d14c75e8cda0b7c0484
92 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF contains a link to known malicious redirector infrastructure, which is a strong indicator of malicious intent. The ML classifier also flagged the document with high confidence. The document body, though heavily obfuscated, contains the malicious URL, suggesting an attempt to trick the user into clicking it for further compromise.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9262

Heuristics 2

  • 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.
  • 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/strik?keyword=humans+in+the+biosphere+worksheet In PDF document text
    • https://pezopipowom.weebly.com/uploads/1/3/1/4/131406060/326f30d54c2.pdfIn PDF document text
    • https://s3.amazonaws.com/rozebofukixus/psc_english_grammar_questions_and_answers.pdfIn PDF document text