MALICIOUS
76
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
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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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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/strik?keyword=bunnicula+pdf+free+full+book PDF link annotation
- https://cdn-cms.f-static.net/uploads/4404520/normal_5f9aafb504b68.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4459180/normal_5fa235422b0f8.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4378393/normal_5f8b2da21344e.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4375341/normal_5f9c32104b7d1.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4393514/normal_5f99a875c703b.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369163/normal_5f8bf540e959f.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4417306/normal_5f96c1c3af76a.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/2a33f518-e78b-4b2e-80de-4578285f7980/pimorajetenojegujek.pdfIn PDF document text
- https://s3.amazonaws.com/sugaguxagu/pdf_of_marketing_management_class_12.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/62131212-8e9b-49f7-b1aa-72a53fadf207/banogiguruzomafironomufe.pdfIn PDF document text
- https://s3.amazonaws.com/kavalukato/katenezi.pdfIn PDF document text
- https://s3.amazonaws.com/kavitokolezub/vimumovunim.pdfIn PDF document text
- https://s3.amazonaws.com/zetare/14745769215.pdfIn PDF document text
- https://s3.amazonaws.com/sugaguxagu/seismic_tomography.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_off00005416.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5416 | 5224 bytes |
SHA-256: 2f623725b2bd1d9d402b926ff4b7be6c531c27be12f71f18dc6355e242ce2e5e |
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font_01_sfnt_off000065eb.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x65EB | 9804 bytes |
SHA-256: 134a0632080b29e99f65d59ad6c90f2366d2dbc0e908478bc7334ced2df2a473 |
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