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/strik?keyword=jurnal+asma+pdf+2018 In PDF document text
- https://site-1036637.mozfiles.com/files/1036637/susajedirem.pdfIn PDF document text
- https://site-1036832.mozfiles.com/files/1036832/xusinodagi.pdfIn PDF document text
- https://site-1037091.mozfiles.com/files/1037091/lanogarudurajulol.pdfIn PDF document text
- https://site-1037121.mozfiles.com/files/1037121/83140537216.pdfIn PDF document text
- http://www.ascendercorp.com/In extracted file (font_00_sfnt_off0000a104.bin)
- http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off0000a104.bin)
- https://cdn.shopify.com/s/files/1/0450/7402/2550/files/shakespeare_romeo_and_juliet_story_in_tamil.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/6819/4965/files/24205951120.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/0577/1927/files/nirudepevolexubuki.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/5131/0488/files/manad.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/b2e9ec00-a1b4-468f-a632-fca7467e62ee/sixakuragokotekelimatev.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/aa8ecbf8-2e8c-4f28-9df2-912153496807/vikolufagakuzodunimopuwe.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/ab8ac785-7821-40df-8477-e12c38668305/67958469469.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/5347/2151/files/tixudexixateku.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 extracted file (font_00_sfnt_off0000a104.bin)
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000a104.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA104 | 5696 bytes |
SHA-256: e599dca45f1e9b02971c280600b2ff4c2e97a22354e584f62c3ce5a38b5c5c55 |
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font_01_sfnt_off0000b44e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xB44E | 14200 bytes |
SHA-256: c6873897fedeae5660622750dc29b77f16a222617d142e34a3b98d99fe48d09a |
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