CVE-2026-16100: Allocation of Resources Without Limits or Throttling in Red Hat Red Hat build of Keycloak 26.6
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.
AI Analysis
Technical Summary
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.
CVE-2026-16100: Allocation of Resources Without Limits or Throttling in Red Hat 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
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
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
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.
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
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.