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://traffset.ru/123?keyword=msn+outlook+office+skype+bing+breaking+news PDF link annotation
- https://cdn-cms.f-static.net/uploads/4420244/normal_5fa6916ba0257.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4476954/normal_5fa86e74c2bee.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4383451/normal_5f93bbe73c0f8.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4381539/normal_5f8be0dfec241.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4417815/normal_5f9e06cda9688.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4447085/normal_5fa823253cf2b.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4387581/normal_5f914e869f1aa.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4421210/normal_5fa0d484baffc.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366027/normal_5f8865d423f9d.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://s3.amazonaws.com/levumoduf/tay_shoe_repair.pdfIn PDF document text
- https://s3.amazonaws.com/sifawekujiki/nudozamexuxovozofuriwifu.pdfIn PDF document text
- https://s3.amazonaws.com/vebogotexaf/rasufegenapazuvudoto.pdfIn PDF document text
- https://s3.amazonaws.com/xunilukegez/57726971837.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00004cda.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x4CDA | 5468 bytes |
SHA-256: ebbe48a3710dfe169a0fe46931d8f771426adae3cb2b7ee61f2ab4980d5e17b4 |
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font_01_sfnt_off00005fa6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5FA6 | 10804 bytes |
SHA-256: 14d6d2448eca50aa6262ee1a93d766d86a1b1007f7871558b238e64171dd95a8 |
|||
font_02_sfnt_off00008344.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8344 | 4324 bytes |
SHA-256: ce7e2e230a41ba6fc2d7d2240890c8289d67876d84a3d076d67c0b48111c8230 |
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