MALICIOUS
124
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
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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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Small PDF is a non-clustered link farm on disposable hosting medium PDF_SEO_DISPOSABLE_LINK_FARMSmall PDF contains many clickable external PDF links spread thin across many distinct hosts (no single dominant host), corroborated by a utm_term SEO-redirector link and/or links parked on free/disposable content hosts. This is the 'free document/template' SEO phishing PDF family, which ranks for search queries and routes users into payload/redirect chains, rather than a normal document citation pattern. The PDF itself carries no exploit — the risk is the linked destinations.
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Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTALThe same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
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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 https://traffine.ru/123?keyword=aukey+dash+cam+review In PDF document text
- https://duxixujojive.weebly.com/uploads/1/3/0/7/130739103/ab2e15b7993d.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://s3.amazonaws.com/fizup/valentine_one_radar_detector_user_manual.pdfIn PDF document text
- https://najoluni.files.wordpress.com/2020/11/31691738979.pdfIn PDF document text
- https://padapifizi.files.wordpress.com/2020/11/61636937237.pdfIn PDF document text
- https://fimalul.files.wordpress.com/2020/11/xenikefeg.pdfIn PDF document text
- https://xozolow.files.wordpress.com/2020/11/circuit_wizard_tutorial.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/609d21c6-1992-4a03-8405-9d2a449fe91e/zafasebiwelukazaraxut.pdfIn PDF document text
- https://s3.amazonaws.com/zobuwubedak/88721088615.pdfIn PDF document text
- https://s3.amazonaws.com/napejaxosinages/21969992150.pdfIn PDF document text
- https://wumevom.files.wordpress.com/2020/11/viburijoxutiwalup.pdfIn PDF document text
- https://kajebevomota.files.wordpress.com/2020/11/69565217032.pdfIn PDF document text
- https://mogefemo.files.wordpress.com/2020/11/nukefexevefa.pdfIn PDF document text
- http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
- http://purl.org/dc/elements/1.1/In PDF document text
- http://ns.adobe.com/pdf/1.3/In PDF document text
- http://ns.adobe.com/xap/1.0/In PDF document text
- http://ns.adobe.com/xap/1.0/mm/In PDF document text
- http://ns.adobe.com/xap/1.0/rights/In PDF document text
- http://scripts.sil.org/OFLIn PDF document text
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00006494.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6494 | 5040 bytes |
SHA-256: d2824f43accec6a9b01ce3f5cbd32d2f857ef08812e09b7e67e17b5cab4a6f6d |
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font_01_sfnt_off000075c5.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x75C5 | 10188 bytes |
SHA-256: 152e5a12f2161f99dd1b4140b92614a45dcda4e6ab93eef5b50682b4f8455715 |
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font_02_sfnt_off000098a4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x98A4 | 4324 bytes |
SHA-256: 1158d95dac44631f497756703988ba3645251422e7ff0015d3fca430225e7c3e |
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