MALICIOUS
76
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
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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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External URI info PDF_URIPDF contains an external URL action
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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://trafffi.ru/123?keyword=word+with+the+root+anti PDF link annotation
- https://cdn-cms.f-static.net/uploads/4409609/normal_5fa7c0ba6d071.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4416512/normal_5f98901670562.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4388040/normal_5fa3c84315331.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4381973/normal_5f909780bb65c.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://s3.amazonaws.com/zalomi/steel_gauge_thickness_chart.pdfIn PDF document text
- https://s3.amazonaws.com/tujeviwakirawu/90760629103.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/d4bdff9e-1aa3-47b1-83d4-ab2632de2900/79372052361.pdfIn PDF document text
- https://s3.amazonaws.com/xojafemori/introduction_centrifugation.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/74000827-36f7-45a2-8171-cdd66c5382ac/meu_nome_nC3A3o_C3A9_johnny_filme_completo_download.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/6363fb9b-b9c7-4860-a43d-13e25028b711/rewajadovifebozeruxime.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_off00006feb.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6FEB | 4808 bytes |
SHA-256: 8bd5a64241696b9a49fe007128a48d4ab6821db60e556fcf4d7677ceccda7c19 |
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font_01_sfnt_off00008054.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8054 | 11636 bytes |
SHA-256: 4a6dc6f999ab0ce9da76f42704b7203f656e391bbf54b7ab3dc0b2c0d786074d |
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