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Grafana Loki EUVDEUVD-2026-44862

| CVE-2026-21729 HIGH
Allocation of Resources Without Limits or Throttling (CWE-770)
2026-07-16 GRAFANA GHSA-65p5-8cm9-qcxx
7.5
CVSS 3.1 · Vendor: GRAFANA
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Severity by source

Vendor (GRAFANA) PRIMARY
7.5 HIGH
AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
vuln.today AI
7.5 HIGH

Network-reachable query API, low-complexity oversized-limit request, no auth modeled (PR:N), and pure availability impact via memory exhaustion (A:H, C:N, I:N).

3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
4.0 AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
SUSE
HIGH
qualitative
Red Hat
7.5 HIGH
qualitative

Primary rating from Vendor (GRAFANA).

CVSS VectorVendor: GRAFANA

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

Lifecycle Timeline

2
Analysis Generated
Jul 16, 2026 - 03:46 vuln.today
CVE Published
Jul 16, 2026 - 03:12 cve.org
HIGH 7.5

DescriptionCVE.org

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

AnalysisAI

Uncontrolled memory allocation in Grafana Loki lets remote unauthenticated users issue queries with excessively large limit values, forcing the service to allocate large amounts of memory and potentially exhausting host resources. The impact is denial of service (CVSS 7.5, A:H only) and varies by deployment topology - a single-binary or under-provisioned deployment is far more exposed than a horizontally scaled microservices setup. There is no public exploit identified at time of analysis and it is not listed in CISA KEV; note the input 'Information Disclosure' tag conflicts with the CVSS impact (C:N/I:N/A:H), which indicates an availability-only issue.

Technical ContextAI

Grafana Loki is a horizontally scalable, multi-tenant log aggregation system (the logging counterpart to Prometheus) commonly deployed in Kubernetes and cloud-native environments and queried via LogQL through its HTTP query API. The flaw is an uncontrolled resource consumption problem: query parameters that set large result limits are honored without adequate bounding, so the querier/ingester components allocate memory proportional to the requested limit rather than to a safe ceiling. The affected component is Grafana Loki (CPE cpe:2.3:a:grafana:loki:*), and the root-cause class is CWE-770 (Allocation of Resources Without Limits or Throttling) / CWE-400 (Uncontrolled Resource Consumption), even though the input records CWE as N/A.

RemediationAI

Consult the Grafana security advisory at https://grafana.com/security/security-advisories/cve-2026-21729 and upgrade to the vendor's fixed release; the exact patched version was not included in the provided data and should be taken directly from that advisory rather than assumed (Patch available per vendor advisory). As compensating controls until patched, cap query result sizes and memory using Loki's per-tenant limits configuration - set or lower max_entries_limit_per_query and related query limits, and configure querier/ingester memory limits (and Kubernetes resource limits) so an oversized query cannot exhaust the node; the trade-off is that legitimate large queries will be rejected. Additionally, require authentication on the query API by fronting Loki with an authenticating reverse proxy or API gateway and restrict network access to the query/HTTP endpoints to trusted clients only, accepting the operational overhead of managing that access layer.

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Vendor StatusVendor

SUSE

Severity: Important

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EUVD-2026-44862 vulnerability details – vuln.today

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