MALICIOUS
194
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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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 contains mass external PDF link farm critical PDF_SEO_LINK_FARMSmall PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
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Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINKPDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
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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://gettraff.ru/123?keyword=delphi+7+language+guide In PDF document text
- https://cdn-cms.f-static.net/uploads/4366654/normal_5f88f214eb4db.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366620/normal_5f88bddc05562.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366346/normal_5f8818de7d7b2.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365662/normal_5f873a5f7a929.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366639/normal_5f872f8e9b873.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369930/normal_5f88b9c03fbed.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367300/normal_5f87b6951cab0.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366408/normal_5f873b81ed534.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367646/normal_5f88216db02eb.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4371536/normal_5f88f6c69753d.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://cdn.shopify.com/s/files/1/0268/8535/7743/files/scientific_method_games.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/4649/2565/files/jujofezarobemek.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/2312/8986/files/are_websites_italicized_in_apa.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/8bbbb61b-1e0f-4def-8d2d-ac02c392b656/67928847319.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/fdd75ff1-8e64-45fb-bfef-94f4e7ebf4f1/23107814984.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/5cd669c7-a196-4763-9c7f-472b1970f6a6/93934068785.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/839881c5-03b1-4cdd-933e-57e6f1945a45/defifotogajoberefego.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/8918b0e3-f81f-499e-9c6b-ac5eca4ce224/zomixikewo.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/236a0a4a-3f6e-4bb6-bc43-ac877f35c2f8/90200370075.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/96a7e031-73e8-4a8c-aa98-37a9d42f2e0f/66017120782.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/d7310388-21b3-4fc0-a000-c06ffa7e3034/99538322165.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/a5e76ddf-96f3-4294-aa39-0aa77ee2bb63/71512704513.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_off0000672c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x672C | 5024 bytes |
SHA-256: 455e9f49823496a95a759bbfba870f2350430e4931d5bd81428c881a55e64c0b |
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font_01_sfnt_off00007849.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7849 | 12004 bytes |
SHA-256: 788de1291704e98b61ca7e2ccfcc008198d39de8fde919be74a7888d8c2f2bde |
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