MALICIOUS
194
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 0.9998
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://ttraff.me/123?keyword=business+statistics+basics+pdf In PDF document text
- https://cdn-cms.f-static.net/uploads/4377116/normal_5f914733eca04.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4370309/normal_5f8bbb867dae6.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366034/normal_5f8747d0d9dfe.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366302/normal_5f885d23386f7.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4373770/normal_5f89b328bb5d2.pdfIn PDF document text
- https://daletutanedura.weebly.com/uploads/1/3/1/6/131636587/xibemusexomaxotoz.pdfIn PDF document text
- https://gujodoludota.weebly.com/uploads/1/3/2/6/132681740/7981217.pdfIn PDF document text
- http://www.ascendercorp.com/In extracted file (font_00_sfnt_off0000a2ad.bin)
- http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off0000a2ad.bin)
- http://www.daltonmaag.com/In extracted file (font_03_sfnt_off0000e565.bin)
- https://s3.amazonaws.com/nerugiraxura/zabole.pdfIn PDF document text
- https://s3.amazonaws.com/gupuso/cambridge_academic_english_upper_intermediate.pdfIn PDF document text
- https://s3.amazonaws.com/zunaduxa/zefedunojunotevekafexuge.pdfIn PDF document text
- https://s3.amazonaws.com/rovuweraja/pathogenesis_dengue_hemorrhagic_fever.pdfIn PDF document text
- https://s3.amazonaws.com/salade/ontology_computer_science.pdfIn PDF document text
- https://s3.amazonaws.com/mamibis/70535789121.pdfIn PDF document text
- https://s3.amazonaws.com/sifawekujiki/html_link_to_section.pdfIn PDF document text
- https://s3.amazonaws.com/naxizugenabi/74882913128.pdfIn PDF document text
- https://s3.amazonaws.com/bugutaj/bokofibojet.pdfIn PDF document text
- https://s3.amazonaws.com/tenunud/bokab.pdfIn PDF document text
- https://s3.amazonaws.com/magapeguwabe/28942762381.pdfIn PDF document text
- https://s3.amazonaws.com/fekaduvopigab/nomagogasifowosik.pdfIn PDF document text
- https://s3.amazonaws.com/subud/turivizizowevuniremim.pdfIn PDF document text
- https://s3.amazonaws.com/felasorarabipis/99780806576.pdfIn PDF document text
- https://s3.amazonaws.com/wilugugo/10230185933.pdfIn PDF document text
- https://s3.amazonaws.com/zerejibixupav/basifirajiwivatus.pdfIn PDF document text
- https://s3.amazonaws.com/henghuili-files/makalah_politik_identitas.pdfIn PDF document text
- https://s3.amazonaws.com/juliziwojatige/the_very_hungry_caterpillar_text.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_off0000a2ad.bin)
- http://www.geocities.com/mitra_anirban/hobbies.htmGNUIn extracted file (font_01_sfnt_off0000b3a2.bin)
- http://www.gnu.org/copyleft/gpl.htmRegularIn extracted file (font_01_sfnt_off0000b3a2.bin)
Extracted artifacts 4
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000a2ad.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA2AD | 4980 bytes |
SHA-256: b1b26ebbb6bea5597a950427f1f7ce71da20dd6e6ba43a50bf89b9c8476f8be1 |
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font_01_sfnt_off0000b3a2.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xB3A2 | 3720 bytes |
SHA-256: b91f3c26f37c28538ed09035cbea6f9221827f1e30b50c452f08cc820bcc167b |
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font_02_sfnt_off0000bf05.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xBF05 | 11388 bytes |
SHA-256: d9afe08cb02116f10276a6b46306b364f873f54eac139cb87d6db55cc62a1e0a |
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font_03_sfnt_off0000e565.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xE565 | 4324 bytes |
SHA-256: d1f4a20f0e35a0564be54678b929bb8c711862c507f070c2b9a6abea8daf4378 |
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