2LowPossibleAnnounced
Reservation data of about 500 people, including names and contacts, was viewable from outside. About 30 of them had allergy or wheelchair-use information exposed.
This incident was imported from a dataset that compiles public announcements, and we are still checking it against the sources. Counts and causes will be updated after the check. Sources are in Japanese.
| Data | Status | Count | Group | Evidence |
|---|---|---|---|---|
| Email address | Was publicly accessible | Not disclosed | — | Source(opens in a new tab) |
| User or member ID | Was publicly accessible | Not disclosed | — | Source(opens in a new tab) |
| Name | Was publicly accessible | about 500 people | — | Source(opens in a new tab) |
| Health information | Was publicly accessible | about 30 people | — | Source(opens in a new tab) |
Counts are the figures the organization announced. Because the same person may be counted more than once, we do not add the rows together.
General steps based on the type of data involved. Check the organization’s notice or help line to see whether you are affected.
Picked from the cause of the incident: tools that help you check your own systems for the same kind of weakness, or spot the warning signs.
An audit tool that reads the configuration of AWS, Azure, Google Cloud, and other clouds and lists the settings that fail security standards.
A scanner that finds vulnerabilities, misconfigurations, and embedded secrets in container images, code, and Kubernetes.
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