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/strik?keyword=activate+piv+certificate In PDF document text
- http://files.drewwatsonpups.com/uploads/1/3/1/6/131637953/zajutebeweterazuka.pdfIn PDF document text
- https://site-1036625.mozfiles.com/files/1036625/23586337912.pdfIn PDF document text
- https://site-1037850.mozfiles.com/files/1037850/66419714894.pdfIn PDF document text
- https://site-1037152.mozfiles.com/files/1037152/kavatow.pdfIn PDF document text
- https://site-1036997.mozfiles.com/files/1036997/pekawokajax.pdfIn PDF document text
- https://site-1038351.mozfiles.com/files/1038351/fixaletipaxujanabig.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/2225/3205/files/integrated_mathematics_3_volume_1_answers.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/2987/0245/files/27904778259.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/7241/2055/files/pexitumaluwojupox.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/0385/3476/files/xitazajitodulaw.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/9097/5647/files/samsung_6s_edge_cases.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/3001/8210/files/yes_juliet_dead_photo.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_off000058a9.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x58A9 | 4848 bytes |
SHA-256: 8214332c531a7637e7523b2b547d54da75f9a84ba8dd7267665ea347877800ca |
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font_01_sfnt_off00006947.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6947 | 9916 bytes |
SHA-256: 80079dc11ca9491141600cb3fbf8f287f27f5dd1fcd458a0458d34790892eae8 |
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