Malicious PDF — malware analysis report

Static analysis result for SHA-256 f7d3c00adb1bb164…

MALICIOUS

PDF

352.1 KB Created: 2015-08-29 12:36:07 +03:00 Authoring application: wkhtmltopdf 0.12.2.4 (via Qt 4.8.6) First seen: 2021-07-07
MD5: b2892a309a8a083d259a61662739d335 SHA-1: 65c49e0aac01d401632eb46c0250b2953eb5f465 SHA-256: f7d3c00adb1bb16420d51dce698896a58cde4b6c312de51b811dbc6804f36369
92 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

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

Machine Learning

  • Nyx PDF Classifier malicious score 0.9897

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%A1%D0%BA%D0%B0%D1%87%D0%B0%D1%82%D1%8C+%D1%81%D0%BF%D1%80%D0%B0%D1%88%D0%B8%D0%B2%D0%B0%D0%B9+%D1%80%D1%83+%D0%BD%D0%B0+%D1%82%D0%B5%D0%BB%D0%B5%D1%84%D0%BE%D0%BD&charset=utf-8 In PDF document text
    • http://img0.liveinternet.ru/images/attach/c/7//4830/4830991_skachat__kleo__pricel_.pdfIn PDF document text
    • http://img0.liveinternet.ru/images/attach/c/7//4830/4830399_cifrovaya__zerkalka__dlya_.pdfIn PDF document text
    • http://img1.liveinternet.ru/images/attach/c/7//4831/4831388_skachat__blich__vse_.pdfIn PDF document text

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00053e2d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x53E2D 8372 bytes
SHA-256: 917194c9681159032e2ad3099557bc3ca33652b52c6384254b65d8741a194cb6
font_01_sfnt_off0005567f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5567F 13420 bytes
SHA-256: 032cedeab8a992cb7306d9f809d4b15f4189f7500da66bed139cda5a207a92d0

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