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://ggtraff.ru/strik?keyword=tuberculosis+journal+articles+pdf In PDF document text
- http://files.mariapressentin.org/uploads/1/3/1/1/131163859/duzufenumusazetogu.pdfIn PDF document text
- https://site-1040131.mozfiles.com/files/1040131/3452433169.pdfIn PDF document text
- https://site-1036807.mozfiles.com/files/1036807/24046110656.pdfIn PDF document text
- http://bovuta.sunshinebayridingclub.com/uploads/1/3/1/4/131483109/maxarixinugokume.pdfIn PDF document text
- http://files.imagecode.org/uploads/1/3/1/4/131453099/demonivakezapixek.pdfIn PDF document text
- http://files.lifteverystudent.com/uploads/1/3/2/8/132814146/d9ada9f85.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/1/0497/3409/0903/files/zizomedalipezak.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/8174/1976/files/48491694198.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/7835/1003/files/goodyear_ultra_grip_winter_studdable.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_off000064be.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x64BE | 5316 bytes |
SHA-256: ae5d2a37c7e874eb09d9e5f1f912de60295cb29c045343b4268a60e2606c5102 |
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font_01_sfnt_off000076dd.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x76DD | 10336 bytes |
SHA-256: 03cd9a3de9666af381a7b4b742956458269df2b99757db696fd725af1ac34fe3 |
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