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CVE-2026-16100: Allocation of Resources Without Limits or Throttling in Red Hat Red Hat build of Keycloak 26.6

0
Medium
VulnerabilityCVE-2026-16100cvecve-2026-16100gcvecwe-770
Published: 08/05/2026 (08/05/2026, 13:50:57 UTC)
Source: CVE Database V5
Vendor/Project: Red Hat
Product: Red Hat build of Keycloak 26.6

Description

A flaw was found in the user-event metrics recording of Keycloak. When metrics are enabled, the system records raw error messages from failed account operations as Prometheus metric labels. Because these error messages can include user-supplied input like nonexistent client IDs, an authenticated user can create a massive number of unique metric entries, eventually exhausting system memory and causing the service to crash or become unavailable.

CVSS v3.1

Score 6.5medium

Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Affected software

Red Hat

Red Hat build of Keycloak 26.6

Red Hat

Red Hat build of Keycloak 26.6

Red Hat

Red Hat build of Keycloak 26.6.5

Red Hat

Red Hat Data Grid 8

Red Hat

Red Hat JBoss Enterprise Application Platform Expansion Pack

Red Hat

Red Hat Single Sign-On 7

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 08/12/2026, 15:12:21 UTC

Technical Analysis

This vulnerability arises from the way Keycloak records user-event metrics when metrics are enabled. Specifically, raw error messages from failed account operations are used directly as Prometheus metric labels without sanitization. Because these error messages can contain user-controlled input such as nonexistent client IDs, an authenticated user with account management permissions can generate a very large number of unique metric entries. This unbounded metric cardinality can exhaust system memory, leading to a denial of service by crashing or making the service unavailable. The root cause is the use of unsanitized, request-controlled input in Prometheus metric labels. Red Hat has assessed this vulnerability as Moderate severity and has not provided an official fix or mitigation that meets their deployment and stability criteria as of the advisory date.

Potential Impact

Successful exploitation requires an authenticated user with specific account management permissions. The attacker can cause a denial of service by exhausting system memory through the creation of an unbounded number of Prometheus metric time series. There is no impact on confidentiality or integrity, but availability is highly impacted due to potential service crashes or unavailability.

Mitigation Recommendations

Currently, there is no official fix or mitigation available from Red Hat that meets their criteria for ease of use, deployment, and applicability. Users should monitor Red Hat's security advisories for updates or patches addressing this vulnerability. Until a fix is available, limiting access to users with account management permissions and disabling metrics if feasible may reduce exposure.

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Technical Details

Data Version
5.2
Assigner Short Name
redhat
Date Reserved
2026-07-17T14:26:03.169Z
Cvss Version
3.1
State
PUBLISHED
Vendor Advisory Urls
[{"url":"https://access.redhat.com/security/cve/CVE-2026-16100","vendor":"Red Hat"}]

Threat ID: 6a734bccbf8831d53906d97c

Added to database: 08/05/2026, 14:42:20 UTC

Last enriched: 08/12/2026, 15:12:21 UTC

Last updated: 09/18/2026, 02:22:23 UTC

Views: 60

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