MALICIOUS
124
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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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://ggtraff.ru/strik?keyword=fat+burning+workout+app+android In PDF document text
- https://site-1036886.mozfiles.com/files/1036886/makeker.pdfIn PDF document text
- https://site-1042539.mozfiles.com/files/1042539/79873989607.pdfIn PDF document text
- https://site-1044209.mozfiles.com/files/1044209/laginanilumoxerekimapa.pdfIn PDF document text
- https://site-1038682.mozfiles.com/files/1038682/kekagotukomalunapiwoweje.pdfIn PDF document text
- https://site-1039489.mozfiles.com/files/1039489/gileborumafizoz.pdfIn PDF document text
- https://site-1040282.mozfiles.com/files/1040282/weriw.pdfIn PDF document text
- http://files.theuglymugs.com/uploads/1/3/2/6/132695363/aa96a6b7.pdfIn PDF document text
- http://files.tellmemo.eu/uploads/1/3/1/4/131482946/f4f0752b60b8506.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://cdn.shopify.com/s/files/1/0440/5601/9109/files/fsuipc_manual_deutsch.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0479/6081/7820/files/lop_ngoai_ngu_123.com.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00006028.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6028 | 4932 bytes |
SHA-256: 460e9f87568359f58215ba32d85805cc9d560d44030035202475a185ab1c8119 |
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font_01_sfnt_off00007101.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7101 | 10004 bytes |
SHA-256: 70b046d539c380fb05ff3b5bcc17d4aedf601e9de9f3ef5c38811aec6972f136 |
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font_02_sfnt_off00009355.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9355 | 4324 bytes |
SHA-256: 0d0f64e27578eb124b8bc81c7eceacdd166e22eddd95c81328e9fbd7de2a6333 |
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