MALICIOUS
254
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 6
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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://kugixixubeleji.weebly.com/uploads/1/3/4/3/134324677/703c23922b0a.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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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/123?keyword=insert+header+and+footer+in+pdf In PDF document text
- https://kugixixubeleji.weebly.com/uploads/1/3/4/3/134324677/703c23922b0a.pdfIn PDF document text
- https://gumiworawogulaf.weebly.com/uploads/1/3/4/3/134356348/8e1f2aafc6.pdfIn PDF document text
- https://jikubefu.weebly.com/uploads/1/3/4/3/134318914/1659222.pdfIn PDF document text
- https://dunofedipusafo.weebly.com/uploads/1/3/4/4/134477286/sejerugefoluzoxoko.pdfIn PDF document text
- http://www.ascendercorp.com/In extracted file (font_00_sfnt_off000071bd.bin)
- http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off000071bd.bin)
- https://uploads.strikinglycdn.com/files/1aed0ccf-d9a7-443d-8c4c-a184d38423e0/luripusiz.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/3f5949b3-d19f-4262-a8a4-84abd4249e17/santa_marta_colombia.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/a042cf5e-dab5-44c2-a82a-5b9a7bf884d6/56693193058.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/ec783a3d-8a53-4550-aa6c-4d6823b15f4c/jubotosevepo.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/ec4cfb08-2e6b-4b30-8160-aeea96b78005/46301618517.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/aee167f3-238b-489e-a68d-a4524e898b24/30308074546.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/9eaf7deb-b854-4d7d-8131-aa12beec0812/kabixemadezata.pdfIn PDF document text
- https://s3.amazonaws.com/saxefi/cascading_style_sheets_in_hindi.pdfIn PDF document text
- https://s3.amazonaws.com/juvuraguvutoxif/vugofigotosumikivixufifus.pdfIn PDF document text
- https://s3.amazonaws.com/fekaduvopigab/pabunelusugasidume.pdfIn PDF document text
- https://s3.amazonaws.com/rokuwapesu/define_socialization.pdfIn PDF document text
- https://s3.amazonaws.com/rujimidujek/semoziluzomitakase.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0491/7900/0998/files/wisanilofogivanavutumizu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0484/2445/2254/files/muvogumupepivexup.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0500/4623/8880/files/morasagenuso.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0484/7855/2218/files/25502690144.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0467/5656/1059/files/hemnes_sofa_table_used.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_off000071bd.bin)
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000071bd.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x71BD | 5032 bytes |
SHA-256: 7b0095a9722f7abb64d249ee4e625125e5b60c38cd650eb5f06f5b026447ee72 |
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font_01_sfnt_off000082ce.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x82CE | 11164 bytes |
SHA-256: 77ff562c95cbf4eba27f0b5c92ddf53765ccb590e15b72bae5457d528bac5395 |
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