Malicious PDF — malware analysis report

Static analysis result for SHA-256 3923b399042550bf…

MALICIOUS

PDF

375.5 KB Created: 2015-08-20 08:33:00 +03:00 Authoring application: wkhtmltopdf 0.12.2.4 (via Qt 4.8.6) First seen: 2021-10-31
MD5: 4d1e9db891e8e4682b33115255751305 SHA-1: 0bd66406d1158df0ef9736c80cc33a3fe9e39908 SHA-256: 3923b399042550bfdef2b906199c63cafd98c9c7f9896a0558779131fffa7a55
92 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF file was flagged by a machine learning classifier and contains a link to known malicious redirector infrastructure. This suggests the document is designed to lure users to a malicious site, likely for further malware delivery or phishing. No scripts were extracted, but the presence of a malicious URL is a strong indicator of malicious intent.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9973

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=%D0%9A%D0%B5%D0%BD%D0%B5%D0%BA%D1%81%D0%B8+s8+%D0%B8%D0%B3%D1%80%D1%8B+%D1%81%D0%BA%D0%B0%D1%87%D0%B0%D1%82%D1%8C+%D0%B1%D0%B5%D1%81%D0%BF%D0%BB%D0%B0%D1%82%D0%BD%D0%BE&charset=utf-8 In PDF document text
    • http://img1.liveinternet.ru/images/attach/c/6//4639/4639447_hadisuy_proroka_muhammeda_skachat_besplatno.pdfIn PDF document text
    • http://img1.liveinternet.ru/images/attach/c/6//4639/4639251_emex_3_crack.pdfIn PDF document text
    • http://img1.liveinternet.ru/images/attach/c/6//4639/4639312_tarifuy_na_soderzhanie_zhilya_v_novosibirske_v_2015_godu.pdfIn PDF document text

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00059882.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x59882 8336 bytes
SHA-256: ed1211dff71057a57abae59c9979b35869ac22de543fe7de7dc9be8496c7bab4
font_01_sfnt_off0005b0b9.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5B0B9 15232 bytes
SHA-256: 2da813cd5face1c3b9f9f94f7f2374fd556f352c5d9b6e9b9845d091fddcdc10

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