MALICIOUS
194
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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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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Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARMSmall PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
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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://gettraff.ru/123?keyword=everyday+math+online+teacher+login In PDF document text
- https://kozezivu.weebly.com/uploads/1/3/4/4/134444222/xasegufezuteduwi.pdfIn PDF document text
- https://timokejega.weebly.com/uploads/1/3/4/4/134454798/nivozevidap-nonudoki-xasilu-gegipe.pdfIn PDF document text
- https://sopulekazixov.weebly.com/uploads/1/3/0/7/130776801/6775654.pdfIn PDF document text
- https://xavujome.weebly.com/uploads/1/3/0/7/130739328/fatuzuzi.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://uploads.strikinglycdn.com/files/36b54be4-116e-45fe-8eb0-2126eeac922a/discrete_mathematics_with_applications_4th_edition_solutions_manual.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/a4579a46-26e4-48fc-87ea-6cb6266515d2/banabopemog.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/50c892c4-4095-4c19-8860-f1d92cf8ffc7/tunisakuvoxiruzasojes.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/4fa9b24f-e4c1-4a79-b432-3ae2d9dda3b9/xinulek.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/b149907b-1371-43df-8806-d486fc557016/babedo.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/193f58dd-99dd-41c0-8c71-68da6e916203/hospital_de_traumatologia.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/2e83dbe1-8191-4400-8552-74f2040cd13c/bedupaki.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/7f0e92cd-5630-47c0-9270-d0d43449cfd9/espace_saint_jean_melun.pdfIn PDF document text
- https://s3.amazonaws.com/wonoti/45254081530.pdfIn PDF document text
- https://s3.amazonaws.com/gaxuremewuger/21757432697.pdfIn PDF document text
- https://s3.amazonaws.com/warapagefasovi/catalog_hafele_2018.pdfIn PDF document text
- https://s3.amazonaws.com/sugowubuf/97776007508.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/c5dab2a4-1cf5-484b-b8b6-489189bdd0d4/wood_burning_patterns_of_animals.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/76f323e0-ce1f-4a88-909e-5b4207870154/nonipikokodupopikagofebaj.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/a7d1682c-0478-4301-b2a2-eae5657604ae/mepawiwasuxeweleluli.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/07ea03df-6e3f-4e2b-85c8-c18b84fc8fc2/gta_vice_city_stories_cso_file_downl.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000069de.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x69DE | 5084 bytes |
SHA-256: a33114416edc7f11faed1a6ea4c0079c7ce443aa9e3b2abdc008671755252e25 |
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font_01_sfnt_off00007b04.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7B04 | 9924 bytes |
SHA-256: e53e7f04dbb45919fd7ed24f619698b3ba5b6648b8a97730287faebb28363507 |
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font_02_sfnt_off00009d10.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9D10 | 4324 bytes |
SHA-256: a542ec26cea93e049a2e27cd59b1347dd9bbdea13775fd7b822b3c2b3136116f |
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