CLEANSTART-2026-VK48825 Tempo queries with large limits can cause large memory allocations which can impact the availability of the service, depending on its deployment strategy

Multiple security vulnerabilities affect the grafana package. Tempo queries with large limits can cause large memory allocations which can impact the availability of the service, depending on its deployment strategy. See references for individual vulnerability details...

SUSE CVE-2026-21729

Loki queries with large limits can cause large memory allocations which can impact the availability of the service, depending on its deployment strategy...

EUVD-2026-44862

Loki queries with large limits can cause large memory allocations which can impact the availability of the service, depending on its deployment strategy...

CVE-2026-21729 Loki detected_fields query limits results in unbounded memory allocation

Loki queries with large limits can cause large memory allocations which can impact the availability of the service, depending on its deployment strategy...

CVE-2026-21728

Tempo queries with large limits can cause large memory allocations which can impact the availability of the service, depending on its deployment strategy. Mitigation can be done by setting maxresultlimit in the search config, e.g. to 262144 2^18. Alternatively, automatically restart the service...

EUVD-2026-25408

Tempo queries with large limits can cause large memory allocations which can impact the availability of the service, depending on its deployment strategy. Mitigation can be done by setting maxresultlimit in the search config, e.g. to 262144 2^18...

PT-2026-34868

Name of the Vulnerable Software and Affected Versions Grafana Tempo versions prior to 2.8.4 Grafana Tempo versions 2.9.0 through 2.9.1 Grafana Tempo versions 2.10.0 through 2.10.1 Description An uncontrolled resource consumption issue exists where queries with large limits can trigger excessive...

PT-2022-23046

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1, 2.8.1, and 2.7.2 Description The RaggedRangOp function takes an argument limits that is eventually used to construct a TensorShape as an int64. If limits is a very large float, it...