MALICIOUS
302
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 8
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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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Brand-impersonation credential phishing lure critical SE_BRAND_CREDENTIAL_PHISHDocument impersonates a well-known consumer brand and uses account-security / verification language ('unusual activity', 'account on hold', 'verify your account') to steer the reader to a credential-harvesting link. Corroborated by: action link to abused redirector https://gebedevalofibut.weebly.com/uploads/1/3/4/3/134379687/jolez.pdf.
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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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Payment redirection / bank-detail change lure high SE_PAYMENT_REDIRECT_LUREDocument describes new or changed bank, wire, ACH, IBAN, SWIFT, or routing instructions — a high-value business-email-compromise pattern
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Fake invoice / payment lure low SE_INVOICE_LUREDocument contains invoice or payment language paired with an action verb — useful context when combined with link, macro, or attachment indicators
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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/pify?keyword=last+day+on+earth+bunker+bravo+stuck+door In PDF document text
- https://gebedevalofibut.weebly.com/uploads/1/3/4/3/134379687/jolez.pdfIn PDF document text
- https://polabufasol.weebly.com/uploads/1/3/2/8/132814050/bozitifitaxodo-xifetunodi-samogosewufez-lafajugefe.pdfIn PDF document text
- https://fipuvulozubonoj.weebly.com/uploads/1/3/4/3/134313175/efad45f201b.pdfIn PDF document text
- https://wawaxotev.weebly.com/uploads/1/3/4/3/134368025/8186432.pdfIn PDF document text
- https://wefamojugibe.weebly.com/uploads/1/3/1/1/131164519/fupad.pdfIn PDF document text
- https://guratebiliwabop.weebly.com/uploads/1/3/2/6/132682790/dofusajopalapa.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4368237/normal_5f887dea6d495.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4389585/normal_5f939a1ddf307.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369651/normal_5f88de2758e2d.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://s3.amazonaws.com/jamokaroxoj/12445448934.pdfIn PDF document text
- https://s3.amazonaws.com/zijivevip/ucla_acceptance_letter.pdfIn PDF document text
- https://s3.amazonaws.com/vuraradaso/jijej.pdfIn PDF document text
- https://s3.amazonaws.com/pewibim/gekumasotefixesiwip.pdfIn PDF document text
- https://s3.amazonaws.com/tevigotu/caucasian_chalk_circle_essay.pdfIn PDF document text
- https://s3.amazonaws.com/sugaguxagu/45334816107.pdfIn PDF document text
- https://s3.amazonaws.com/fofeguj/electrical_engineering_interview_questions_and_answers_for_freshers.pdfIn PDF document text
- https://s3.amazonaws.com/vavabi/census_south_africa_2011_results.pdfIn PDF document text
- https://s3.amazonaws.com/jinabisura/16791106492.pdfIn PDF document text
- https://s3.amazonaws.com/regovadeje/sonaweweduzoro.pdfIn PDF document text
- https://s3.amazonaws.com/kavitokolezub/learn_python_the_hard_way_online.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_off0000d0ad.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xD0AD | 5304 bytes |
SHA-256: 0c0b2d5a1fef679f5ee1905ba0c63cba18181629b8c7d3bd4bacede4f00579e6 |
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font_01_sfnt_off0000e2b4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xE2B4 | 11076 bytes |
SHA-256: cae4dfd7fdf44b39b295c43801cee1a5ace790a12a5e5689c11f77acbdd613bb |
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