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Keystone has an unintended `isFilterable` bypass that can be used as an oracle to match hidden fields

Low severity GitHub Reviewed Published May 5, 2025 in keystonejs/keystone • Updated May 5, 2025

Package

npm @keystone-6/core (npm)

Affected versions

<= 6.4.0

Patched versions

6.5.0

Description

Summary

{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.

Impact

This affects any project relying on the default or dynamic isFilterable behaviour (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 if you have otherwise omitted filtering by these fields from your GraphQL schema. (See workarounds)

Patches

This issue has been patched in @keystone-6/core version 6.5.0.

Workarounds

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 your GraphQL schema
  • Deny update and delete operations for the relevant lists completely (e.g list({ access: { operation: { update: false, delete: false } }, ... }))

References

@dcousens dcousens published to keystonejs/keystone May 5, 2025
Published to the GitHub Advisory Database May 5, 2025
Reviewed May 5, 2025
Published by the National Vulnerability Database May 5, 2025
Last updated May 5, 2025

Severity

Low

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
High
Privileges required
Low
User interaction
None
Scope
Unchanged
Confidentiality
Low
Integrity
None
Availability
None

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:N

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(7th percentile)

CVE ID

CVE-2025-46720

GHSA ID

GHSA-hg9m-67mm-7pg3

Source code

Credits

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