MALICIOUS
134
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
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PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINKPDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
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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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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://traffmen.ru/aws?keyword=clinical+laboratory+hematology+pdf In PDF document text
- https://cdn-cms.f-static.net/uploads/4447107/normal_5fa181ba9dcdf.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4371523/normal_5f9bd23f63164.pdfIn PDF document text
- https://lasajiboz.weebly.com/uploads/1/3/1/3/131379041/487e336.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4385026/normal_5f8c87e8d8998.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4448740/normal_5f9f340c14828.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4456132/normal_5fa20b083e8e2.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/juliziwojatige/78291961945.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/2757b151-242e-42a8-b7db-4c156cd3d849/28518184759.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/6161e31f-f8c1-4460-adc1-3e229f7d7af7/wirubijimowokimejonuzinow.pdfIn PDF document text
- https://s3.amazonaws.com/widetunipet/21358155569.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/5ee75ca0-c8be-499d-ae86-65c7d04eee2e/86025144600.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_off00004845.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x4845 | 5536 bytes |
SHA-256: c04a01d0ac9bcd2e210d1481a5d6bbe22adeb56c45101e4f8d7359012257670c |
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font_01_sfnt_off00005af2.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5AF2 | 9888 bytes |
SHA-256: d272e0e9833f6482b59d59844d1cc87a969f5b4cf5b89f4744108402ce9d0879 |
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