MALICIOUS
234
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 6
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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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Browser extension / update installation lure high SE_BROWSER_INSTALL_LUREDocument tells the user to install a browser extension, plugin, viewer, or browser update to view content — a common social-engineering path for credential theft and malware installation
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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/123?keyword=vault+app+download+for+android In PDF document text
- https://cdn-cms.f-static.net/uploads/4366350/normal_5f87789f4f90e.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367279/normal_5f876e81bb118.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/fc538541-343f-4fdf-a79e-e0c5eacb61ad/7426481370.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/3851639c-a6de-4ed2-ad14-c9e9d11d4d4b/55438447883.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/c785b2bb-7d7f-4ea8-a00b-137dc68d2f6c/75812459304.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/53cc1dbe-b86f-4e96-abd1-16482f0a4dc2/87231452179.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/40bdc9d4-2357-4aa5-824d-2fc37b470589/gudasaminuge.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/b8e10838-82ca-4d9f-8282-bf66cbc3841e/55168065121.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0463/8353/0139/files/72900542631.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0484/0931/3438/files/taco_bell_nutrition_facts_crunchwrap_supreme.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/3358/2998/files/kirakuliwawavumu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0482/8256/6811/files/inkling_boy_hairstyles.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/99ba0ab1-f7e4-4d30-a121-6eb3d1d2da40/76863261230.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/d70ba09e-2b15-4ad3-b7d8-a5da14632530/jatebujerejezaf.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/f8c26771-0825-44ee-804a-21b8c18d9235/deratadevep.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/6341d643-4066-4bdb-8e16-5f2cb0284a07/9256712595.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
- http://dejavu.sourceforge.netIn PDF document text
- http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000aa8e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xAA8E | 4912 bytes |
SHA-256: 17c8bf517869712a1e90ef9a3007492ee0d7ea8f15fdf4ded392fe055a352801 |
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font_01_sfnt_off0000bb6b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xBB6B | 10448 bytes |
SHA-256: cdc4508182d446e7898d9fc424c9ca8991dcabd76a5a4201a41ec44ad9966fe4 |
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font_02_sfnt_off0000df18.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xDF18 | 16096 bytes |
SHA-256: 8487f940f4077f3f761796b7fd18e33e97824c0b81db5ffe23aac475240a9a68 |
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