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.me/123?keyword=english+telephone+conversation+dialogue+pdf In PDF document text
- https://cdn-cms.f-static.net/uploads/4366302/normal_5f885d54bc462.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4371808/normal_5f888f2268c86.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365607/normal_5f8744203d5af.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365586/normal_5f875d42a9381.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369158/normal_5f88b9e8a351e.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367621/normal_5f88071be56e9.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4368758/normal_5f89a7090a17b.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4368746/normal_5f89c47b36a32.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367680/normal_5f87e22b71318.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366969/normal_5f887f6f89dd1.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367007/normal_5f89beb18b198.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366324/normal_5f8772bb0460e.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369316/normal_5f89477b9bbcb.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369498/normal_5f88f62d089d8.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366377/normal_5f87deab309a2.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4375514/normal_5f8996f9da4ff.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/1/0495/4941/0456/files/graphing_motion_worksheet_answers.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0483/7261/3280/files/gods_pearl_of_wisdom.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0484/7937/1414/files/82464166505.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/4171/6389/files/hamlet_act_1_scene_5_summary.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/2516/9565/files/tesanid.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0500/1530/5878/files/givusuba.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6303/3502/files/75929753853.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0501/9936/3764/files/wifefebikegulazuxaj.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/6359/7473/files/kexovufavagovepetobanu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0499/1886/9665/files/49954867076.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_off00006d84.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6D84 | 5432 bytes |
SHA-256: d8802e14e7b57235bc09be858f293df81d75009114cb5a9694e4c1d4eaa0dd8b |
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font_01_sfnt_off00008000.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8000 | 10264 bytes |
SHA-256: ab7d472c6685532605737b32e50733ac0b80768c54fa4f969f99a17c69fdb69a |
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