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=you+re+approaching+me+meme PDF link annotation
- https://cdn-cms.f-static.net/uploads/4369306/normal_5f9c479f8a18a.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4370555/normal_5f8ef3f5912c4.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4368245/normal_5f884739cda25.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366340/normal_5f8726bbdd843.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://s3.amazonaws.com/muguroviv/marapets_medicine_guide.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/c4aff5c9-4d22-4559-8552-3012bea298c6/49339346759.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/8fc43acc-6b7d-431d-9760-f3b1e4c6c4b9/38270036362.pdfIn PDF document text
- https://s3.amazonaws.com/nezanurugega/46077448794.pdfIn PDF document text
- https://s3.amazonaws.com/jidosatikim/arabesque_piano.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/16772531-a16f-4054-8f30-84b8b4e61246/unblocked_games_effing_worms_2.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/0ff81c57-ddd9-4609-ab77-0d2b8d706925/wimawusatid.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_off00006482.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6482 | 5096 bytes |
SHA-256: 84970273ab61c58067bba9702dae0d23204b917117b5711a8efaade6018e7497 |
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font_01_sfnt_off000075b0.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x75B0 | 10512 bytes |
SHA-256: d014a9136e36d91d941a4dc81325bb5788216571b149df7f6a1df58044990f4c |
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