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.cc/123?keyword=michael+vick+wife+net+worth In PDF document text
- https://cdn-cms.f-static.net/uploads/4377928/normal_5f8d0df74592e.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4384050/normal_5f993cdba5fea.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4392220/normal_5f8f6b4cbdb66.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369322/normal_5f93ba0056596.pdfIn PDF document text
- https://midunufi.weebly.com/uploads/1/3/4/3/134387712/galolovozoru_vomuf_pexazezunip_kirolamet.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4413707/normal_5f94753dd9af4.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4410443/normal_5f987d068cb95.pdfIn PDF document text
- https://kaxokotul.weebly.com/uploads/1/3/4/3/134380066/bopavup_mujozog_jazidewanigo.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4420597/normal_5f970bafefac2.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4403816/normal_5f9773ef2ad6b.pdfIn PDF document text
- https://pidivupam.weebly.com/uploads/1/3/4/3/134327465/sikebuz.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4368249/normal_5f8dcff9d7766.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369629/normal_5f8824f0c2638.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/1/0483/6855/0039/files/35937359140.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/f74c5798-d010-4083-9901-895f53fe0f0b/identifying_sentence_fragments_exercise_1_page_276_answer_key.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0496/5105/6804/files/48727797020.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/2959/2214/files/18366220264.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/73aa9c27-8429-429d-b14b-85502bbfef50/rofixulifonu.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/5ae44dce-2730-4767-a841-86f34ff71fd6/9018027785.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/4ae6ee98-15d9-4164-b561-0110b042bbc1/english_vocabulary_profile.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/8c713f3f-4603-4f2e-90d9-ee6d402ab4d8/jodunon.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0491/8519/4150/files/36991849425.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/8b0df8fb-fd5b-47b9-b149-6636e62a18c1/62813165865.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/c659cd07-7d62-4d8c-a5aa-979e2fc26baf/puertas_de_herreria.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/79588d8d-ef55-45d8-bce9-76dea5e42956/xaxazibufa.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_off00007a48.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7A48 | 5012 bytes |
SHA-256: 8684769dae8a5c2203c338c3ecdc8dbee02db7d6e1440705405142b4014d57a9 |
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font_01_sfnt_off00008b75.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8B75 | 12336 bytes |
SHA-256: 594abb3541174a09afb194c23b5855cf33c23675a6cd5aa6a7e4728d1dc44fe3 |
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