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://traffking.ru/123?keyword=discovering+computers+2018+pdf+free In PDF document text
- https://cdn-cms.f-static.net/uploads/4388274/normal_5f91144040a81.pdfIn PDF document text
- https://varipejat.weebly.com/uploads/1/3/0/7/130739080/fabugoge-pesugogoruturen-pozun-vatese.pdfIn PDF document text
- https://nuvisinuxaxo.weebly.com/uploads/1/3/1/3/131383681/5757932.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367294/normal_5f87e63bd9b12.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://dazuduverega.files.wordpress.com/2020/11/98860842700.pdfIn PDF document text
- https://s3.amazonaws.com/zidosozawok/53346000085.pdfIn PDF document text
- https://s3.amazonaws.com/fekazudabo/leroy_wade_organic_chemistry.pdfIn PDF document text
- https://vadazigifexe.files.wordpress.com/2020/11/gopiv.pdfIn PDF document text
- https://lodoxepal.files.wordpress.com/2020/11/reremuradivuvevedivogobid.pdfIn PDF document text
- https://tojegilebi.files.wordpress.com/2020/11/introduction_to_machine_learning_npt.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/7280d707-3a18-4325-8b9b-d2f7dfc6abc5/power_electronics_solution_manual_free_download.pdfIn PDF document text
- https://mafaxivovel.files.wordpress.com/2020/11/7346655750.pdfIn PDF document text
- https://pixetimel.files.wordpress.com/2020/11/10564936711.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_off00005a7c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5A7C | 5812 bytes |
SHA-256: 241326a5b61b97a8ad72a979e07aaff313b450baf6bc1548ab7eae3fb4cceb8c |
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font_01_sfnt_off00006e4f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6E4F | 10692 bytes |
SHA-256: a435e46f18414ff638d6873df8a91b3acc05a93960717a88bb40623aa59447ca |
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