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/pify?keyword=h%25E1%25BB%2587+%25C4%2591i%25E1%25BB%2581u+h%25C3%25A0nh+android+kitkat+l%25C3%25A0+g%25C3%25AC In PDF document text
- https://cdn-cms.f-static.net/uploads/4367275/normal_5f8757bdd9107.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365627/normal_5f96139498f9e.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366024/normal_5f88fd93769b1.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365607/normal_5f874207e7056.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369328/normal_5f8e00444b611.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/bfd6280f-7a5d-4356-996c-503f8373ab0c/lorijeputuwi.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/bc96709b-2bb4-42cb-bb27-7d82b33f558e/51529850.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/6a67d701-c281-4208-984b-a3b97d4d9e6f/90819711555.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/b93ecc54-9d4e-4685-9b6b-700952e70fcd/vellipoke_vellipoke_song_mp3_free_download.pdfIn PDF document text
- https://s3.amazonaws.com/fasanag/ponapojepidexalelurepowas.pdfIn PDF document text
- https://s3.amazonaws.com/wanasuvedigo/air_pollution_effect_on_vegetation.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/8c8c3c46-db75-44b5-ab8a-b5b49e020a38/18709833527.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/32bbdb7e-d966-4aab-8058-776dea8de28f/xetavaxokodesowez.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/62aa4b21-5c5c-486e-9265-ed9aa47cb876/tinapidiguxuxefeje.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/26413e7c-58ce-4300-97bf-c0e11d41a5a8/28981452325.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/6445abd4-5c67-418b-8c69-79007f0847a3/berixilajawuwelilow.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/6425/2821/files/manual_de_taller_chevrolet_captiva_2020_gratis.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0266/9087/9667/files/nokobomesegevega.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/2172/8919/files/lets_learn_kanji.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/9ecbc848-ec79-4fd8-a3dc-89dfc8698ae5/lebepaxamatarefoba.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/0d9e4dc3-0c9f-4186-a6d5-d048e1bb7992/levenagowibewizizisezewu.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_off00008ba1.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8BA1 | 5716 bytes |
SHA-256: 3a8d5ce84d1c896ce02df08d43ab5da9e5dcd899d4c91217da92cc6ced7738a4 |
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font_01_sfnt_off00009dcd.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9DCD | 11180 bytes |
SHA-256: 55bef9dc5e584cb53cb97ba007de89b26721e765d1851f6f61e857fb89284e6f |
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