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=hunger+games+putlocker9 PDF link annotation
- https://cdn-cms.f-static.net/uploads/4377656/normal_5f8a9f94f30d8.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4412568/normal_5f9a7b8f5c492.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://uploads.strikinglycdn.com/files/114544d9-42ec-4ac9-925a-036d06f4e7ce/zujotomudi.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/c39083fb-76e1-458c-b7d4-523d6b76faa8/zedesofusimajetebose.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/fd1af0d0-acb3-4108-86bd-e0b4406c3f4b/lodupemamakepa.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/29702005-2828-42a1-b49c-bac188443256/zijijonejotesedibi.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/0240484c-b74b-4efb-86c6-bd39369e07f9/71992288811.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/1e69d206-6c52-4986-a562-3469ad107061/50006256311.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/e8a52fa9-24cb-41fc-80fe-2f4c6418e603/pipulifenitu.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_off0000624f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x624F | 5436 bytes |
SHA-256: ad26ba125cdaceb8d5f265666ee8fcf645603f12d04df2492ac2258cd63b9584 |
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font_01_sfnt_off000074ba.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x74BA | 11032 bytes |
SHA-256: 270aa3e3b898e602b949f67207b577e353b758682c7b37ed84b402cb7d9bbf72 |
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