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://cctraff.ru/strik?keyword=seiken+densetsu+3+guide In PDF document text
- http://kabof.ilandwyte.com/uploads/1/3/0/8/130814328/7b7ea16a.pdfIn PDF document text
- http://files.janebliz.com/uploads/1/3/1/1/131164519/wumena.pdfIn PDF document text
- http://tivarilon.realityisoptional.com/uploads/1/3/1/6/131637432/rubati.pdfIn PDF document text
- https://site-1043876.mozfiles.com/files/1043876/30044923557.pdfIn PDF document text
- https://site-1037282.mozfiles.com/files/1037282/64813139373.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/a0d89767-afbf-4667-ad6d-7d6d7011f92b/74729389685.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/0910/6332/files/med_tech_test_study_guide.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/2294/8251/files/lonely_planet_india_vk.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5535/7852/files/52206234110.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0499/3938/2430/files/if_beale_street_could_talk_full_book.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/5639/0551/files/4376079127.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_off00007e77.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7E77 | 4984 bytes |
SHA-256: be6b21009bc31f08f9aae8e8522df77e0d4708ba61bf4ef3ce7d006677d744a3 |
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font_01_sfnt_off00008f88.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8F88 | 10420 bytes |
SHA-256: e537e9bd1b0a30c8e2427b07a95fce9fd7355e7f2119da7760932a6c6274200b |
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