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://cctraff.ru/wb?keyword=gcse%202020%20uk In PDF document text
- https://cdn-cms.f-static.net/uploads/4366304/normal_5f872a4d2e8d4.pdfIn PDF document text
- https://fasefipuronupa.weebly.com/uploads/1/3/4/4/134471496/eef1614244394.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/fuwawibu/wilitovutegagaligazelox.pdfIn PDF document text
- https://s3.amazonaws.com/jubiferekaka/speak_softly_love_notes.pdfIn PDF document text
- https://s3.amazonaws.com/jewizopukuni/regababovu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0500/0269/0199/files/anticoagulation_post_stroke_guidelines.pdfIn PDF document text
- https://s3.amazonaws.com/ditiruz/kapadiluj.pdfIn PDF document text
- https://s3.amazonaws.com/pusolefosex/bsc_mathematics_notes_download.pdfIn PDF document text
- https://s3.amazonaws.com/tiluwisulepam/bejopozedazedewemizixef.pdfIn PDF document text
- https://s3.amazonaws.com/subud/45819715906.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/5e126f37-558f-4fe1-9c2b-17f48f7c59e8/nha_ekg_study_guide_2018.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
- http://dejavu.sourceforge.netIn PDF document text
- http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00008698.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8698 | 4824 bytes |
SHA-256: 473f03d4be99baa91d7fb4d491095973b3d598d45892e2211c1a0c6a191ad953 |
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font_01_sfnt_off00009728.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9728 | 10868 bytes |
SHA-256: 16840d4fc19ddb92acf65418b65874399c5d6cf55959c7b246431a50e3b578ef |
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font_02_sfnt_off0000bc65.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xBC65 | 16208 bytes |
SHA-256: c691c2dc236ff1c3149f8178f30dcb30456d959af2bd230901b395ad55359d31 |
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