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://trafffi.ru/aws?keyword=trollface+quest+unblocked PDF link annotation
- https://cdn-cms.f-static.net/uploads/4368468/normal_5f8872e18088e.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4371791/normal_5f9be14a85414.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4375517/normal_5f9f42b640245.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/9f51c884-47d9-4932-a3de-dc920e9dfa66/40898274009.pdfIn PDF document text
- https://s3.amazonaws.com/voxulija/ss_worksheet_for_2019_taxes.pdfIn PDF document text
- https://s3.amazonaws.com/mamukawaxatali/dodge_charger_daytona_1969.pdfIn PDF document text
- https://s3.amazonaws.com/xanebavifamopez/21257455537.pdfIn PDF document text
- https://s3.amazonaws.com/muvemasoxaji/xidodomukotiz.pdfIn PDF document text
- https://s3.amazonaws.com/pasawexawinogad/48861148825.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/bbebf683-c33c-4895-8853-7f68298fbbc9/85759633389.pdfIn PDF document text
- https://s3.amazonaws.com/bepukuba/wasufawefumepibiwov.pdfIn PDF document text
- https://s3.amazonaws.com/wiwuxot/sao_md_all_characters.pdfIn PDF document text
- https://s3.amazonaws.com/libeganot/30277504342.pdfIn PDF document text
- https://s3.amazonaws.com/nuruvapozixix/wizard_build_pathfinder_2e.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_off000058c8.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x58C8 | 5296 bytes |
SHA-256: 3e5a7fa026c8c18b6b0422e6f7db865c55be658504331628d509db0356816d68 |
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font_01_sfnt_off00006ad2.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6AD2 | 9592 bytes |
SHA-256: b7e6fe2659cf7b8779cc67b1e2404aed01295e326fa7695abd1492d86e0d086d |
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