LogoTrust: Leveraging BIMI to Build a Validated Dataset of Brands, Domain Names, and Logos

Most brand logo datasets are static, manually labeled, and solely rely on the trust in the dataset creator. We leverage Brand Indicators for Message Identification (BIMI) to build a dynamic, automatically generated logo dataset with trust anchored in Certificate Authorities (CAs). The BIMI DNS TXT records, in which the domain owners publish logos with Mark Certificates (MCs), link brand logos to domain names, streamlining the collection and the verification of the mapping while potentially enhancing logo-based phishing detection methods. Using global-scale DNS measurements, we collect BIMI records, retrieve and deduplicate logos, and validate Mark Certificates to obtain the mapping of 1,680 brands, 1,811 logos, and 2,821 domain names. Our dataset, available at https://github.com/josef0x/LogoTrust, demonstrates the BIMI potential as a reliable means for constructing logo datasets and potentially provides a valuable resource for applications such as phishing detection.

Authors

Institutions

Publication Details

Published
2025-06-30
DOI
https://doi.org/10.1109/eurospw67616.2025.00021
Citations
1
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
1.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LogoTrust: Leveraging BIMI to Build a Validated Dataset of Brands, Domain Names, and Logos

Andrzej Duda, Maciej Korczyński, Olivier Hureau, Youssef Abyaa
1 citations
BIM and Construction Integration
1.01
article

LogoTrust: Leveraging BIMI to Build a Validated Dataset of Brands, Domain Names, and Logos

Andrzej Duda, Maciej Korczyński, Olivier Hureau, Youssef Abyaa
article en
1 citations

Abstract

Most brand logo datasets are static, manually labeled, and solely rely on the trust in the dataset creator. We leverage Brand Indicators for Message Identification (BIMI) to build a dynamic, automatically generated logo dataset with trust anchored in Certificate Authorities (CAs). The BIMI DNS TXT records, in which the domain owners publish logos with Mark Certificates (MCs), link brand logos to domain names, streamlining the collection and the verification of the mapping while potentially enhancing logo-based phishing detection methods. Using global-scale DNS measurements, we collect BIMI records, retrieve and deduplicate logos, and validate Mark Certificates to obtain the mapping of 1,680 brands, 1,811 logos, and 2,821 domain names. Our dataset, available at https://github.com/josef0x/LogoTrust, demonstrates the BIMI potential as a reliable means for constructing logo datasets and potentially provides a valuable resource for applications such as phishing detection.

Institut polytechnique de Grenoble (FR), Centre National de la Recherche Scientifique (FR), Laboratoire d'Informatique de Grenoble (FR), Université Grenoble Alpes (FR)
Openalex Percentile: Top 21%
BIM and Construction Integration
1.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

LogoTrust: Leveraging BIMI to Build a Validated Dataset of Brands, Domain Names, and Logos — Andrzej Duda, Maciej Korczyński, et al. · (2025) | TGRS Research Map | TGRS