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/aws?keyword=aces+2020+llc PDF link annotation
- https://wovasemuzusalej.weebly.com/uploads/1/3/1/6/131636629/xupotepebisi.pdfIn PDF document text
- https://dapujevubo.weebly.com/uploads/1/3/1/4/131438680/c6b0443ec3ae3.pdfIn PDF document text
- https://bavejojonosepes.weebly.com/uploads/1/3/1/3/131380601/9865678e0364.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://uploads.strikinglycdn.com/files/774a2fac-c3f8-4724-bc64-776792f4a97d/louis_lamour_books_sackett_series.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/3ae037e6-77ba-4bb4-9bda-0ade4d821489/barobidofivuvuli.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/8c4638a0-7b06-485c-adeb-b00360833dff/24890804290.pdfIn PDF document text
- https://s3.amazonaws.com/wixanarer/joshua_a_parable_for_today_audiobook.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/18282a54-db2b-4ce0-a099-654e550ae72f/ginajavulaxovunaba.pdfIn PDF document text
- https://s3.amazonaws.com/zarusegibitumet/vutaj.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/af2a55c6-2324-45c5-b183-0bf8014c7f83/bankersadda_monthly_current_affairs_in_hindi.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_off00005a72.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5A72 | 4192 bytes |
SHA-256: c2705b5dd737d9c71b5633e5b4a206d046e27d45d34512bf39f962ca6fc738a0 |
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font_01_sfnt_off0000689c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x689C | 10132 bytes |
SHA-256: 8b513ae668772cd89c5550280a3a8b8bddbc4436c2b346360d006b56057ce1cf |
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font_02_sfnt_off00008b1e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8B1E | 4324 bytes |
SHA-256: d1f4a20f0e35a0564be54678b929bb8c711862c507f070c2b9a6abea8daf4378 |
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