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://lagukekejase.weebly.com/uploads/1/3/0/8/130815031/dopaviwet.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://ttraff.me/aws?keyword=british+council+ielts+dates+2019+pdf In PDF document text
- https://cdn-cms.f-static.net/uploads/4383149/normal_5f8e797d53759.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4379959/normal_5f94eed0e1e6d.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365638/normal_5f8f94b6e71b8.pdfIn PDF document text
- https://lagukekejase.weebly.com/uploads/1/3/0/8/130815031/dopaviwet.pdfIn PDF document text
- https://dutitujazekap.weebly.com/uploads/1/3/0/8/130814390/sidobojugonuxexoz.pdfIn PDF document text
- https://tenikekiso.weebly.com/uploads/1/3/0/7/130775729/7963421.pdfIn PDF document text
- https://vuxozajuje.weebly.com/uploads/1/3/1/3/131379873/vunud.pdfIn PDF document text
- https://gemaxudemaxepeb.weebly.com/uploads/1/3/1/0/131070646/2ce09bf0ca48.pdfIn PDF document text
- http://www.ascendercorp.com/In extracted file (font_00_sfnt_off000089fd.bin)
- http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off000089fd.bin)
- http://www.daltonmaag.com/In extracted file (font_02_sfnt_off0000c136.bin)
- https://uploads.strikinglycdn.com/files/297575de-8cc7-4daa-a6e4-2f8e516d8cbd/nogejopejozabi.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/273a90f3-8036-4388-8bc9-233f08253be2/70683328182.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/65a312b9-8f48-4c96-b71d-a2b8c5aea083/dotefabilikovijikafo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0483/9233/9614/files/73259427266.pdfIn PDF document text
- https://s3.amazonaws.com/leguvefu/52090441306.pdfIn PDF document text
- https://s3.amazonaws.com/zirojopemup/avision_ad250.pdfIn PDF document text
- https://s3.amazonaws.com/divelatoxa/bizagowirorejonopumulopu.pdfIn PDF document text
- https://s3.amazonaws.com/punurum/best_annotation_software_for_mac.pdfIn PDF document text
- https://s3.amazonaws.com/kavitokolezub/javevunufotuxuximajagek.pdfIn PDF document text
- https://s3.amazonaws.com/xanebavifamopez/75659274712.pdfIn PDF document text
- https://s3.amazonaws.com/leguvefu/monthly_budget_planner.pdfIn PDF document text
- https://s3.amazonaws.com/ruzaganog/indian_journal_of_agricultural_economics.pdfIn PDF document text
- https://s3.amazonaws.com/henghuili-files/2_pedro_hernandes_dias_lopes.pdfIn PDF document text
- https://s3.amazonaws.com/vonusirukete/95230618634.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_off000089fd.bin)
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000089fd.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x89FD | 5656 bytes |
SHA-256: 01c2eebd55d269d579b0e9ece60e12ab31cf0630177059f58ce2cb39cd64c203 |
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font_01_sfnt_off00009d37.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9D37 | 10516 bytes |
SHA-256: df6df88e807c6cf260340ddc563a2416ab18aa35ca633a3f7ecb38b675056361 |
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font_02_sfnt_off0000c136.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xC136 | 4324 bytes |
SHA-256: 4fcfa7c68d76e23b667942a3ac892d2d5d88346478daafc61479ad4df4af3dd3 |
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