MALICIOUS
92
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
The PDF contains an embedded URL that redirects to a known malicious domain, as indicated by the PDF_MALICIOUS_REDIRECTOR_LINK heuristic. The ML classifier also flagged the PDF with high confidence. While no scripts were explicitly extracted, the nature of the redirector suggests it is intended to lead the user to a malicious site, likely for phishing or to download a secondary payload.
Machine Learning
- Nyx PDF Classifier malicious score 0.9980
Heuristics 2
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PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINKPDF 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.
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Embedded URL info EMBEDDED_URLOne 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%BA%D0%B0%D0%BA+%D1%80%D1%83%D1%81%D1%81%D0%B8%D1%84%D0%B8%D1%86%D0%B8%D1%80%D0%BE%D0%B2%D0%B0%D1%82%D1%8C+android&charset=utf-8 In PDF document text
- http://img0.liveinternet.ru/images/attach/c/7//4830/4830370_nalogoplatelschik__yul__poslednyaya_.pdfIn PDF document text
- http://img0.liveinternet.ru/images/attach/c/7//4830/4830235_pourochnuye__razrabotki__po_.pdfIn PDF document text
- http://img1.liveinternet.ru/images/attach/c/7//4831/4831105_skachat__mashinuy_.pdfIn PDF document text
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00053f41.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x53F41 | 9240 bytes |
SHA-256: 1d90599507ff7aa140c14ce8a0425bf6288337f7333df3f6253a56ea1bfaaeff |
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font_01_sfnt_off00055928.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x55928 | 14260 bytes |
SHA-256: d014e827ee04afa8e2cc616745cb538c7b9c4f21c062f9a561640ab8b0b66573 |
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