MALICIOUS
126
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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Small PDF is a non-clustered link farm on disposable hosting medium PDF_SEO_DISPOSABLE_LINK_FARMSmall PDF contains many clickable external PDF links spread thin across many distinct hosts (no single dominant host), corroborated by a utm_term SEO-redirector link and/or links parked on free/disposable content hosts. This is the 'free document/template' SEO phishing PDF family, which ranks for search queries and routes users into payload/redirect chains, rather than a normal document citation pattern. The PDF itself carries no exploit — the risk is the linked destinations.
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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://traffset.ru/aws?keyword=campos+eliseos+en+paris PDF link annotation
- https://cdn-cms.f-static.net/uploads/4412894/normal_5fa226bb78b02.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4374521/normal_5f8bbaff9fc4c.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4476275/normal_5fa4f96c535c4.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://lodoxepal.files.wordpress.com/2020/11/vibinofa.pdfIn PDF document text
- https://wazewezobe.files.wordpress.com/2020/11/kavuz.pdfIn PDF document text
- https://wotenopofe.files.wordpress.com/2020/11/budixaw.pdfIn PDF document text
- https://fefitaw.files.wordpress.com/2020/11/64939725781.pdfIn PDF document text
- https://zapawex.files.wordpress.com/2020/11/35434854507.pdfIn PDF document text
- https://zuvebozukovo.files.wordpress.com/2020/11/comment_fonctionne_scanlib_carrefour.pdfIn PDF document text
- https://s3.amazonaws.com/gateme/directv_now_apk_download.pdfIn PDF document text
- https://s3.amazonaws.com/tesodagiwor/ap_psychology_barrons.pdfIn PDF document text
- https://fimalul.files.wordpress.com/2020/11/xenikefeg.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_off00005f0f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5F0F | 4868 bytes |
SHA-256: da2f59532e8ed76de60a3e18172d065ee0be5c022e4867a9951ad7edde0b8f2f |
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font_01_sfnt_off00006f7b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6F7B | 11232 bytes |
SHA-256: 74d8e42088055b8ea10905543b1e6fb8db85c64fd8a58c91ab288bb72e7fb034 |
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