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://ttraff.cc/123?keyword=funny+llama+pictures+gif In PDF document text
- https://cdn-cms.f-static.net/uploads/4403680/normal_5f9c5c2916cc1.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4390382/normal_5f972272ba1ab.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4424985/normal_5f9ce6cfe94d6.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367950/normal_5f88771d9efec.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4387821/normal_5f8d6a782471d.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/tizowodifi/joint_stock_company_conclusion.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/40d32fc0-7921-43d5-aef1-156414caf441/navajo_loom_plans.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/8402/0898/files/gebisakizijedu.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/dc165795-c328-495e-b26b-69abd31b55ff/free_download_hp_laserjet_1536dnf_mf.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/e726d97c-6202-4420-ab59-0ae04d9232ba/tesugowumugipidawenewiz.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_off0000562a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x562A | 5392 bytes |
SHA-256: fa7a295d187a8b7abe07d254800494f4413487776450f51939b151dd3bc1dca8 |
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font_01_sfnt_off00006879.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6879 | 9480 bytes |
SHA-256: b3ea816950f49b174a9a2ef5fb3a4fa5e013aa3ab57a86a0dee32b781ac7ab8a |
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