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://gettraff.ru/aws?keyword=walter+m+kennedy+pell+city+al In PDF document text
- https://pesodubebugi.weebly.com/uploads/1/3/4/2/134234841/611053.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://cdn.shopify.com/s/files/1/0434/5289/1298/files/lolodibixawalipizezojajod.pdfIn PDF document text
- https://s3.amazonaws.com/bevekizadoxuj/zatetusajek.pdfIn PDF document text
- https://s3.amazonaws.com/somamere/schlitterbahn_new_braunfels_tickets_prices.pdfIn PDF document text
- https://s3.amazonaws.com/nawosineromigi/jowuxikezobilom.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0483/9191/3632/files/urine_therapy_testimonials_hiv.pdfIn PDF document text
- https://s3.amazonaws.com/tamobalasu/probability_statistics_and_queuing_theory_download.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/0fbff35f-7047-4583-a613-5d9c5eae17fd/dojetat.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/5399/6442/files/glowing_putty_gels__slime_kit_instructions.pdfIn PDF document text
- https://s3.amazonaws.com/retobifulipo/go_math_grade_4_answer_key_chapter_10.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_off00004e4d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x4E4D | 4900 bytes |
SHA-256: bc322885567ae05a8a41f9b959b56b54163ef9cdfaa36bb030c9a2261a105689 |
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font_01_sfnt_off00005ee2.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5EE2 | 10732 bytes |
SHA-256: a1e1b3a47a98b969976bc2262b5acbc8ea1da87aa8c2423e4be5dc6824aa129e |
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font_02_sfnt_off000083a8.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x83A8 | 4324 bytes |
SHA-256: d1f4a20f0e35a0564be54678b929bb8c711862c507f070c2b9a6abea8daf4378 |
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