MALICIOUS
184
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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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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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/pify?keyword=hidden+message+drivers+ed+worksheet+answers In PDF document text
- https://site-1039346.mozfiles.com/files/1039346/8919118077.pdfIn PDF document text
- https://site-1040200.mozfiles.com/files/1040200/96911411703.pdfIn PDF document text
- https://site-1038815.mozfiles.com/files/1038815/nabalevunusemozub.pdfIn PDF document text
- https://site-1036886.mozfiles.com/files/1036886/daduluzofisoziso.pdfIn PDF document text
- http://movoj.zone-studio.net/uploads/1/3/2/7/132712358/ragewewi.pdfIn PDF document text
- http://files.angelajanekennedy.com/uploads/1/3/1/4/131406846/rowozikalanut-rugurazavanofiw.pdfIn PDF document text
- http://kabuj.elmermeats.com/uploads/1/3/0/7/130740019/nowifa.pdfIn PDF document text
- http://files.bounceohio.com/uploads/1/3/1/4/131453980/e2f42bd4.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/1/0436/4537/0518/files/90049811776.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0483/3335/7209/files/kuden.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_off00005da0.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5DA0 | 5384 bytes |
SHA-256: 57118194afe97ae0c233407ceed62bcb96e64d21fdbda1e9b1fc3f364341d52f |
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font_01_sfnt_off00006fd1.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6FD1 | 10280 bytes |
SHA-256: ff126264ae68b3f0626a634e24992d66bb1d0e0f1f5f8f94d9ef4ca1fb23d944 |
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