Malicious PDF — malware analysis report

Static analysis result for SHA-256 52b3e249114aefb1…

MALICIOUS

PDF

351.1 KB Created: 2015-08-29 13:09:17 +03:00 Authoring application: wkhtmltopdf 0.12.2.4 (via Qt 4.8.6) First seen: 2021-07-07
MD5: e279262965586c2f97a3e0485e55bf62 SHA-1: 291493ed799374b8aa729dfc748659e883252b31 SHA-256: 52b3e249114aefb1dd16338d87b39f47bc5fb8569046998973cea0d63170621a
92 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF contains a link to a known malicious redirector, indicating an attempt to lure the user to a harmful site. The ML classifier also flagged this PDF with high confidence. While no scripts were explicitly extracted, the presence of embedded URLs and the heuristic firings strongly suggest a malicious intent, likely related to phishing or malware delivery.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9980

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 http://botcraftman.ru/?lip&keyword=%D1%80%D0%B0%D1%81%D0%BF%D0%B8%D1%81%D0%B0%D0%BD%D0%B8%D0%B5+%D0%B0%D0%B2%D1%82%D0%BE%D0%B1%D1%83%D1%81%D0%BE%D0%B2+%D1%82%D0%B2%D0%B5%D1%80%D1%8C+%D1%83%D0%B4%D0%BE%D0%BC%D0%BB%D1%8F+2014&charset=utf-8 In PDF document text
    • http://img1.liveinternet.ru/images/attach/c/7//4831/4831844_skachat__sprashivay__ru_.pdfIn PDF document text
    • http://img0.liveinternet.ru/images/attach/c/7//4830/4830388_raspisanie__avtobusov__petrozavodsk_.pdfIn PDF document text
    • http://img0.liveinternet.ru/images/attach/c/7//4832/4832420_stalker__ten__chernobuylya_.pdfIn PDF document text

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000532c7.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x532C7 8408 bytes
SHA-256: 857132d341c1182cc00138baedeed9b7743df4fe719ddbdb4035070169b76649
font_01_sfnt_off00054bb8.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x54BB8 15784 bytes
SHA-256: 471b4b43ed9d2e1e5c4148a76ee77ab36c009af07742f6dda01ddcf6ca8459ae

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