ASdb is a research dataset that maps public autonomous systems (identified by ASN) to organizations and up to three industry types using data from business intelligence databases, website classifiers, and a machine learning algorithm. Below are a few example records:
| ASN | Owner | Category | Sub-Category |
|---|---|---|---|
| 32 | Stanford University | Education and Research | Colleges, Universities, and Professional Schools |
| 14061 | DigitalOcean, LLC | Computer and Information Technology | Hosting and Cloud Provider |
We want this website to be the definitive source for AS industry categorization and have pulled the past 5 years of ASdb datasets and combined it with historical WHOIS data from Regional Internet Registries (RIRs).
Both the underlying WHOIS and ASdb data sources and categorization pipeline can make mistakes or become out-of-date. If you discover an error, you can help us improve the dataset for everyone by registering for an account and requesting write-access through your account. We're currently reserving admin access for people we know, so use your work/professional email for your account.
Each AS on the Dashboard opens to a Current View composed of taking the latest WHOIS/ASdb values and applying the latest admin correction, if applicable. WHOIS and ASdb Category History provide a look at how the underlying data source has changed over time as well as what admin edits have been applied and by whom.
ASdb is maintained by Stanford Empirical Security Research Group and the ASdb industry categorization is run approximately annually due to cost considerations. For more information, please see our research paper from IMC 2021. Any issues with this website can be submitted to asdb@esrg.stanford.edu. We are happy to provide raw data (beyond the resultant dataset) to other academic research teams.
Research Paper
ASdb: A System for Classifying Owners of Autonomous Systems
Maya Ziv, Liz Izhikevich, Kimberly Ruth, Katherine Izhikevich, and Zakir Durumeric
ACM Internet Measurement Conference (IMC), November 2021.
Abstract: While Autonomous Systems (ASes) are crucial for routing Internet traffic, organizations that own them are little understood. Regional Internet Registries (RIRs) inconsistently collect, release, and update basic AS organization information (e.g., website), and prior work provides only coarse-grained classification. Bootstrapping from RIR WHOIS data, we build ASdb, a system that uses data from established business intelligence databases and machine learning to accurately categorize ASes at scale. ASdb achieves 96% coverage of ASes, and 93% and 75% accuracy on 17 industry categories and 95 sub-categories, respectively. ASdb creates a more rich, accurate, comprehensive, and maintainable dataset cataloging AS-owning organizations. This system, and resulting dataset, will allow researchers to better understand who owns the Internet, and perform new forms of meaningful analysis and interpretation at scale.
Dataset
| File | Size | Description |
|---|---|---|
| 2021-05_categorized_ases.csv | 14 MiB | Primary dataset snapshotted in May 2021. Records are identified by ASN and map to industry categories and sub-categories. All categories listed for an AS apply, and the ordering has no significance. |
| 2021-11_categorized_ases.csv | 14 MiB | Primary dataset snapshotted in November 2021. Records are identified by ASN and map to industry categories and sub-categories. All categories listed for an AS apply, and the ordering has no significance. |
| 2022-05_categorized_ases.csv | 14 MiB | Primary dataset snapshotted in May 2022. Records are identified by ASN and map to industry categories and sub-categories. All categories listed for an AS apply, and the ordering has no significance. |
| 2022-12_categorized_ases.csv | 14 MiB | Primary dataset snapshotted in December 2022. Records are identified by ASN and map to industry categories and sub-categories. All categories listed for an AS apply, and the ordering has no significance. |
| 2023-05_categorized_ases.csv | 14 MiB | Primary dataset snapshotted in May 2023. Records are identified by ASN and map to industry categories and sub-categories. All categories listed for an AS apply, and the ordering has no significance. |
| 2024-01_categorized_ases.csv | 14 MiB | Primary dataset snapshotted in January 2024. Records are identified by ASN and map to industry categories and sub-categories. All categories listed for an AS apply, and the ordering has no significance. |
| 2026-03_categorized_ases.csv | 15 MiB | Primary dataset snapshotted in March 2026. Records are identified by ASN and map to industry categories and sub-categories. All categories listed for an AS apply, and the ordering has no significance. |
| NAICSlite.csv | 3.5 KiB | List of all possible categories and sub-categories. |
Dataset was last updated and published on 03/22/2026.