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://nipufijupetobug.weebly.com/uploads/1/3/1/4/131482996/4999823.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://gettraff.ru/strik?keyword=dodge+dart+spoiler+mopar In PDF document text
- https://cdn-cms.f-static.net/uploads/4366627/normal_5f897199d7526.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4375698/normal_5f8aeefaa0baa.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4368970/normal_5f9016acd621a.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366653/normal_5f8f176f76353.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4393635/normal_5f8f838f9bdc1.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4370985/normal_5f9122aab71ad.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4384640/normal_5f94703622f7d.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369630/normal_5f8bbd111c1c6.pdfIn PDF document text
- https://nipufijupetobug.weebly.com/uploads/1/3/1/4/131482996/4999823.pdfIn PDF document text
- https://bilewobadazape.weebly.com/uploads/1/3/2/6/132695578/2682796.pdfIn PDF document text
- https://xuzowezawejinat.weebly.com/uploads/1/3/4/3/134378303/tovowekubopa.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://cdn.shopify.com/s/files/1/0435/6567/8755/files/the_rise_of_big_business_worksheet.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0495/9725/1748/files/hello_kitty_wallet.pdfIn PDF document text
- https://s3.amazonaws.com/henghuili-files2/abirami_anthathi_with_meaning_in_tamil.pdfIn PDF document text
- https://s3.amazonaws.com/tibanepoxilibud/vamokuzobitenozivaje.pdfIn PDF document text
- https://s3.amazonaws.com/zirojopemup/dubusanipipoxigegojigol.pdfIn PDF document text
- https://s3.amazonaws.com/vezumobigodub/how_to_be_a_better_public_speaker.pdfIn PDF document text
- https://s3.amazonaws.com/subud/pexirajoxutuwusixan.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/99af97a2-717b-438a-ba58-f6f43d2316ac/nidami.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/1bc437a7-ab0d-4fa1-83f1-fa50a9e7b652/29088102475.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/c3692f85-e39b-475a-8e55-fad5e7783745/polafozekele.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00005e29.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5E29 | 4960 bytes |
SHA-256: de65bce00a77573f4bab5d26cfb108acaf44f77074f6e61fa8639ec03ba13efd |
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font_01_sfnt_off00006f13.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6F13 | 10944 bytes |
SHA-256: cb7b60766f3154ccb79e6fcfa3b7c80addbaa99214ff3ecc584ad60889b6349c |
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font_02_sfnt_off00009499.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9499 | 4324 bytes |
SHA-256: 05d2457133b820fa77aa358e30e9acfbad3f04c46ced9a37296d9311117db176 |
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