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://ttraff.cc/123?keyword=sc300+for+sale+florida In PDF document text
- https://cdn-cms.f-static.net/uploads/4383921/normal_5f8ec2e179c9b.pdfIn PDF document text
- https://viweposedijul.weebly.com/uploads/1/3/1/0/131070314/simarefafagiveb.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://uploads.strikinglycdn.com/files/f47089df-ca6d-4480-9f41-8a02b9531aec/52505079973.pdfIn PDF document text
- https://s3.amazonaws.com/jukezeluf/open_set_recognition_machine_learning_python.pdfIn PDF document text
- https://s3.amazonaws.com/sanekufiwumafo/navakoxejaguxi.pdfIn PDF document text
- https://s3.amazonaws.com/henghuili-files2/les_alphas_lecture.pdfIn PDF document text
- https://s3.amazonaws.com/tokafanawa/u46_district_records_office.pdfIn PDF document text
- https://s3.amazonaws.com/henghuili-files/single_entry_bookkeeping_system.pdfIn PDF document text
- https://s3.amazonaws.com/felasorarabipis/liwubivobajodepa.pdfIn PDF document text
- https://s3.amazonaws.com/felasorarabipis/faxafigavibubogupafa.pdfIn PDF document text
- https://s3.amazonaws.com/gorajikunobixi/c._v_format.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/ae38dfcc-cac3-462a-9a74-ecfe55d4d61e/lanujud.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_off000065b7.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x65B7 | 5424 bytes |
SHA-256: 45bebbe8f29d39f1b557bb7884d9cadee921205a1e12c76c6a3abbf7c7ef07c5 |
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font_01_sfnt_off00007833.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7833 | 10828 bytes |
SHA-256: 6b4ffd673203c15ed288ec6bc9bb28b0d54d01780247a03e61913a58e499b797 |
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