MALICIOUS
136
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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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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External URI info PDF_URIPDF contains an external URL action
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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://trafffi.ru/123?keyword=when+traveling+behind+large+trucks+you+should PDF link annotation
- https://lafapimiwegu.weebly.com/uploads/1/3/4/0/134041150/maraved.pdfIn PDF document text
- https://kuvofexe.weebly.com/uploads/1/3/1/1/131163751/pobirareluluxejumive.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/sepawi/html_to_javascript_w3schools.pdfIn PDF document text
- https://s3.amazonaws.com/jamokaroxoj/list_of_poisons_and_their_antidotes.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/875aa109-6698-447c-ac87-efb3c6404b98/kulek.pdfIn PDF document text
- https://s3.amazonaws.com/kopisigapub/aditya_hrudayam_stotram_in_odia.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/1ff5a182-efc6-4ee7-ba66-4655d6029909/sirediguz.pdfIn PDF document text
- https://s3.amazonaws.com/niporofez/dragon_ball_z_kai_streaming_service.pdfIn PDF document text
- https://s3.amazonaws.com/jukezeluf/skyline_ranch_resort.pdfIn PDF document text
- https://s3.amazonaws.com/fatikonavori/political_triangle_test.pdfIn PDF document text
- https://s3.amazonaws.com/zasepo/didibewulix.pdfIn PDF document text
- https://s3.amazonaws.com/tosasugokod/maxwell_library_ohio_christian_university.pdfIn PDF document text
- https://s3.amazonaws.com/vuraradaso/luwirafurudali.pdfIn PDF document text
- https://s3.amazonaws.com/wemupajese/leveling_guide_diablo_3_witch_doctor.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_off00007133.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7133 | 5580 bytes |
SHA-256: cc7373ac91d37c06c15dc532c2dd2da8cafd3b2eccffa44f4d21e6cdf0ca0549 |
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font_01_sfnt_off00008436.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8436 | 10444 bytes |
SHA-256: 81e15ac0c371e31a408f3cbc08513b870b755b793217f67b212a408a4214852f |
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