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://cctraff.ru/strik?keyword=lengua+en+ingles+asignatura In PDF document text
- https://site-1039731.mozfiles.com/files/1039731/29313329963.pdfIn PDF document text
- https://site-1036725.mozfiles.com/files/1036725/tusanamusefavojogoravir.pdfIn PDF document text
- https://site-1039484.mozfiles.com/files/1039484/repep.pdfIn PDF document text
- https://site-1039671.mozfiles.com/files/1039671/xagivowobenir.pdfIn PDF document text
- https://site-1039801.mozfiles.com/files/1039801/36216400990.pdfIn PDF document text
- https://site-1039617.mozfiles.com/files/1039617/nikopexemir.pdfIn PDF document text
- https://site-1036850.mozfiles.com/files/1036850/76095918937.pdfIn PDF document text
- http://files.compassionatewellnessoc.com/uploads/1/3/0/9/130969205/welapotol.pdfIn PDF document text
- http://files.wafbc.com.au/uploads/1/3/1/4/131454683/2172998.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://uploads.strikinglycdn.com/files/300d81e0-6d0b-448a-aa9d-3dad64f5aae2/tesabejimizavabivo.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/dc07529b-3ba3-4e68-8a7d-471afdcc588a/96819079219.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/d97724b1-34bb-4b9a-8a48-4ea9dfbeee74/74072821221.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 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000059a5.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x59A5 | 4792 bytes |
SHA-256: 48aca38d13521317d00b58e2322d7cdb31cafbb6fc36edf31a087652a2463605 |
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font_01_sfnt_off00006a06.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6A06 | 11200 bytes |
SHA-256: 624bd4aed0cc919a19121ef79c7028f6f0fb10dbf38ca68973f5e8a4620ed517 |
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