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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PDF link to algorithmically-generated URL high PDF_RANDOM_URL_LINKPDF contains a clickable HTTP(S) link whose host looks algorithmically generated (pronounceable-random labels) and whose path/query carries a long high-entropy token. This is the randomized-redirector pattern of malspam phishing lures — the visible document is only a prompt — not a PDF parser vulnerability.
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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=cambridge+checkpoint+past+papers+2015+pdf+science In PDF document text
- http://surisat.michellelewisphotography.com/uploads/1/3/1/4/131438110/revivudidenoz_kuzuzefejaluso.pdfIn PDF document text
- http://files.mmalifestyler.com/uploads/1/3/1/1/131164475/mosuvosafujizamoje.pdfIn PDF document text
- http://files.thewackywitchcupcakecandlefactory.com/uploads/1/3/0/7/130739143/053ebd4.pdfIn PDF document text
- http://files.kenmare-bayview-house.com/uploads/1/3/1/4/131406864/d5acd029ef.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/d54b2cc0-5b72-4ca0-98f7-5841f708fc12/lidov.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/fafa0c83-382e-4629-b0e1-6351b8f624aa/wadipovemopidojajuj.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/fa417099-abf3-40b9-a839-e35c3048926f/vubetadifufexef.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/f7173dbf-5366-4a58-8c8b-b90ff482af90/nuseramexofaluzi.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/da3da373-4e26-44a9-b944-8e77f6b46839/53367528068.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/b10f807d-5906-47b0-af5d-1316cae99a4e/nesufufusufupomotudil.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_off000054e7.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x54E7 | 6096 bytes |
SHA-256: 575c6a0817a21e44721041d2c58c5fca353fc48da7eeca2a3854a0ee63cbce0d |
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font_01_sfnt_off0000697e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x697E | 14720 bytes |
SHA-256: eb46543e8013c945013ca1a600a542759bac1fcac30f6f3bb5709e3a4a1f8a78 |
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