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://ttraff.me/123?keyword=raseedi+ticket+urdu+pdf In PDF document text
- https://cdn-cms.f-static.net/uploads/4381539/normal_5f8b0677e34f5.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366009/normal_5f89f1c14d902.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4374699/normal_5f8a9255da1fa.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365613/normal_5f8715d274329.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4371244/normal_5f89991318df8.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4373519/normal_5f8d47a375150.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4386333/normal_5f8d13021eb30.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4368238/normal_5f87dd5845033.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/49bf37f8-fd19-4bad-a9b2-1809c5d84005/17142393610.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/5a584742-b2f9-4b92-a7ad-5342f880795d/zelevixekiwazikuva.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/6c8ba3fb-526a-4338-8542-55e896b20c52/wujelibimixe.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/cba44af8-7ce6-4058-972c-659021aeb946/19021700419.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/d6920d36-2afa-4c45-9c0c-21b26bbf9258/89777511052.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/3fbf49a1-4640-4338-9e66-249c99d833a3/50949395554.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/98ab9402-500e-44f4-91ab-4a940666cc17/4143240811.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/aaebcf02-332e-449d-948f-e62aa2022b2d/dikuw.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/4fae0112-9181-425a-a014-b40a5dbd5583/giniv.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/68f552ae-0bdc-47db-9a22-c014273b647c/38855169808.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/228a43c4-973d-45c5-8d57-de58c2c8cde0/buwusaf.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/4a630714-e684-45a1-84c7-a9eb4604d6c8/fizijubemokizunimamej.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0483/2103/6452/files/atlanta_free_chat_line_numbers.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0497/5689/7441/files/68855288827.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0483/5940/7765/files/denoising_autoencoder_tutorial.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_off0000655b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x655B | 5188 bytes |
SHA-256: e5dc9642921cce8a335f9c5286c18558fc7c85da8bfda1eb2db97c632009b35b |
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font_01_sfnt_off00007713.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7713 | 9980 bytes |
SHA-256: 1a9d2013db39dacc1244a5780349644f8f7c2963101a63e01b59ada729ab346e |
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