CVE-2026-33378: Grafana Data Source Plugin: DoS (OOM) via Negative Interval Injection in $__timeGroup Macro
Using the $__timeGroup macro, one can achieve an OOM by overloading the server. This requires a SQL datasource. If the server is set up to auto-restart, the impact is minimal or non-existent, as the attack can take upwards of half an hour to crash the server.
Security readout for executives and security teams
Plain-English summary
An authenticated Grafana user may exhaust server memory by submitting a malicious negative interval through a SQL data-source query macro. A successful attack can make Grafana unavailable. The reported crash may take more than 30 minutes, and automatic restart can substantially reduce disruption.
Executive priority
Prioritize normal-cycle remediation, escalating systems where untrusted or broadly assigned users can query SQL data sources. Immediate emergency action is less compelling because authentication is required, exploitation is slow, and restart controls may limit impact. Availability-critical Grafana deployments deserve faster review.
Technical view
CVE-2026-33378 is a CWE-400 resource-exhaustion flaw in Grafana OSS. The $__timeGroup macro can accept a negative interval that causes out-of-memory exhaustion when used with a SQL data source. CVSS 3.1 is 6.5: network-accessible, low complexity, low privileges, no user interaction, with availability impact only.
Likely exposure
Exposure requires a listed Grafana OSS release, a configured SQL data source, and a low-privileged authenticated user able to submit relevant queries. The source bundle marks versions outside the listed releases as unaffected by default; administrators should confirm exact applicability with Grafana's advisory.
Exploitation context
No active exploitation is established by the provided sources, and the CVE is not listed as KEV in the bundle. Exploitation requires authenticated access and may take over 30 minutes to crash the server. Auto-restart can make the practical impact minimal, although repeated attempts could still affect availability.
Researcher notes
The evidence supports availability loss through memory exhaustion, not confidentiality or integrity compromise. Key exposure variables are exact Grafana version, SQL data-source presence, query permissions, and restart behavior. The bundle does not name a fixed version or document exploitation in the wild, so remediation specifics must come from Grafana's advisory.
Mitigation direction
Review Grafana's advisory for the applicable fixed release or vendor-recommended mitigation.
Upgrade affected Grafana OSS deployments according to Grafana's published guidance.
Restrict query capabilities and SQL data-source access to users who require them.
Ensure restart and monitoring controls detect and recover from memory exhaustion.
Validation and detection
Inventory Grafana OSS versions and compare them with the advisory's affected releases.
Identify deployments with SQL data sources configured.
Review which authenticated roles can create or submit SQL data-source queries.
Inspect memory, restart, and availability telemetry for unexplained sustained resource exhaustion.
Confirm the deployed version or mitigation status against Grafana's advisory.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Potential ATT&CK relevance
Conservative CVE-to-ATT&CK context
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ATT&CK lookup starting points
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cwe · low confidence lookup
CWE-400: Exact CWE lookup
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CWE-400 · source CWE mapping
Uncontrolled Resource Consumption
Uncontrolled Resource Consumption represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.