MALICIOUS
76
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
-
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.
-
External URI info PDF_URIPDF contains an external URL action
-
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.
-
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=monocot+vs+dicot+seed PDF link annotation
- https://cdn-cms.f-static.net/uploads/4375509/normal_5f8fc5d958d46.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/sefipa/84452862935.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/987f514f-55b2-4a7e-bf97-ef138493a6ac/35483787978.pdfIn PDF document text
- https://s3.amazonaws.com/zokokamu/37063598491.pdfIn PDF document text
- https://s3.amazonaws.com/rufonali/element_55_inch_tv_wall_mount.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/49985ef4-ea55-4e19-849e-78d71dbd5c99/reinhard_bonnke_cancer.pdfIn PDF document text
- https://s3.amazonaws.com/woberiz/pixok.pdfIn PDF document text
- https://s3.amazonaws.com/zetare/2731513589.pdfIn PDF document text
- https://s3.amazonaws.com/sezutuma/bu_de_bu_ai.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/dc9599ef-f877-4b0d-a3e5-7d7d7e253b57/87782227115.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/7850d05a-2316-4df0-8532-729b3e950865/marigolds_by_eugenia_collier_notes.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/62fb9cd9-6290-447c-a400-6ce0c15266d5/40514941884.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_off0000823c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x823C | 4660 bytes |
SHA-256: d4081b580d68e3770c9c0d3915d3e7951a025a34a75ddcd37e0e56a4c9af9f12 |
|||
font_01_sfnt_off00009241.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9241 | 10856 bytes |
SHA-256: a356ca430139bcc39750f69be138cb323a19d4c7546e2e669e0c63b63236c258 |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.