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/123?keyword=indefinite+pronouns+worksheet+pdf In PDF document text
- https://cdn-cms.f-static.net/uploads/4403259/normal_5f94675513e38.pdfIn PDF document text
- https://nulosogitizibe.weebly.com/uploads/1/3/4/3/134317173/1e41d5c62.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://uploads.strikinglycdn.com/files/292d1ce5-f7ec-48ea-8fdd-a71500d8e94d/fabanekadarotunejuxeg.pdfIn PDF document text
- https://s3.amazonaws.com/sodoxi/2353739039.pdfIn PDF document text
- https://s3.amazonaws.com/guxosa/list_of_asian_countries_with_capital_and_currency.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/1f3e846d-223d-4f25-abc7-a9cb28a78701/samsung_ml_1670.pdfIn PDF document text
- https://s3.amazonaws.com/vatakefojunib/nivodateminijadumopaz.pdfIn PDF document text
- https://s3.amazonaws.com/xanebavifamopez/69870894741.pdfIn PDF document text
- https://s3.amazonaws.com/kavitokolezub/articles_of_confederation_worksheet.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_off000050a8.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x50A8 | 4980 bytes |
SHA-256: f087891ff73c6bfb420befb4ef339e637c07f3559eb2b0727193b6350384f814 |
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font_01_sfnt_off000061b1.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x61B1 | 10332 bytes |
SHA-256: 0b016e1454e3313dd1cbbe831d1e22110a7497244fa33e97dcbdd0e58c3f1a7c |
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