MALICIOUS
222
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 7
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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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Callback phishing phone lure medium SE_CALLBACK_LUREDocument asks the user to call a phone number in billing, refund, subscription, fraud, or security context — consistent with callback phishing or tech-support scam patterns. Suppressed for legitimate-issuer (IRS/gov/official-form) or Microsoft license-boilerplate documents that carry no urgency or charge/dispute escalation.
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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://cctraff.ru/pify?keyword=canon+pixma+mp280+software In PDF document text
- https://fivilogavizizov.weebly.com/uploads/1/3/4/4/134446089/vuniwisom.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366633/normal_5f8744c6d65a7.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4417656/normal_5f9932f0cc07a.pdfIn PDF document text
- http://www.ascendercorp.com/In extracted file (font_00_sfnt_off00004a60.bin)
- http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off00004a60.bin)
- https://s3.amazonaws.com/tosasugokod/andhadhun_movie_watch_online_quora.pdfIn PDF document text
- https://s3.amazonaws.com/xanebavifamopez/pexepofij.pdfIn PDF document text
- https://s3.amazonaws.com/degisapemifa/zujetizamebifarusuko.pdfIn PDF document text
- https://s3.amazonaws.com/jezaxojipevu/tetilererugirifulelid.pdfIn PDF document text
- https://s3.amazonaws.com/tunenijexe/82442377947.pdfIn PDF document text
- https://s3.amazonaws.com/buganabowumujef/bram_stoker_dracula_deutsch.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0495/4973/8136/files/jugadores_de_voleibol_mas_bajos.pdfIn PDF document text
- https://s3.amazonaws.com/lanorolowu/fbla_business_communication_study_guide.pdfIn PDF document text
- https://s3.amazonaws.com/sugosubexez/elite_way_school_existe.pdfIn PDF document text
- https://s3.amazonaws.com/ginutu/45999977787.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0484/1681/7304/files/whatsapp_apk_for_microsoft_windows_phone.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0502/9170/3963/files/fiwug.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_off00004a60.bin)
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00004a60.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x4A60 | 5548 bytes |
SHA-256: 96409d8d3adf420e79926ff256ae923c2beebb6e3bd7f59622e6ff2e16336713 |
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font_01_sfnt_off00005d40.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5D40 | 10248 bytes |
SHA-256: be3d8dd8785af46b103f73caa88b8526b65086cd62d1a0b77a9285710eb75fab |
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