CVE-2025-46720
Keystone is a content management system for Node.js. Prior to version 6.5.0, {field}.isFilterable access control can be bypassed in update and delete mutations by adding additional unique filters. These filters can be used as an oracle to probe the existence or value of otherwise unreadable fields. Specifically, when a mutation includes a where clause with multiple unique filters (e.g. id and email), Keystone will attempt to match records even if filtering by the latter fields would normally be rejected by field.isFilterable or list.defaultIsFilterable. This can allow malicious actors to infer the presence of a particular field value when a filter is successful in returning a result. This affects any project relying on the default or dynamic isFilterable behavior (at the list or field level) to prevent external users from using the filtering of fields as a discovery mechanism. While this access control is respected during findMany operations, it was not completely enforced during update and delete mutations when accepting more than one unique where values in filters. This has no impact on projects using isFilterable: false or defaultIsFilterable: false for sensitive fields, or for those who have otherwise omitted filtering by these fields from their GraphQL schema. This issue has been patched in @keystone-6/core version 6.5.0. To mitigate this issue in older versions where patching is not a viable pathway, set isFilterable: false statically for relevant fields to prevent filtering by them earlier in the access control pipeline (that is, don't use functions); set {field}.graphql.omit.read: true for relevant fields, which implicitly removes filtering by these fields from the GraphQL schema; and/or deny update and delete operations for the relevant lists completely.
| Software | From | Fixed in |
|---|---|---|
@keystone-6 / core
|
- | 6.5.0 |
| keystonejs / keystone | - | 6.5.0 |
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A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.
CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.
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Recurring findings usually come from incomplete Asset Discovery, inconsistent patch management, inherited images, and configuration drift. In modern environments, you also need to watch the software supply chain: dependencies, containers, build pipelines, and third-party services can reintroduce the same weakness even after you patch a single host. Unknown or unmanaged assets (often called Shadow IT) are a common reason the same issues resurface.
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