Skip to main content
CVE Vulnerability Database
Vulnerability Database/CVE-2026-33382

CVE-2026-33382: Grafana DoS Vulnerability

CVE-2026-33382 is a denial of service vulnerability in Grafana that allows attackers to exhaust memory through oversized payloads. This article covers the technical details, affected versions, impact, and mitigation.

Published:

CVE-2026-33382 Overview

CVE-2026-33382 affects Grafana, an open-source observability and analytics platform. Several Grafana API endpoints, including unauthenticated ones, fail to enforce request body size limits before processing incoming data. An attacker can transmit oversized payloads to force excessive memory allocation, exhausting server memory and causing denial of service. The flaw is tracked under CWE-400: Uncontrolled Resource Consumption and requires no authentication or user interaction to exploit over the network.

Critical Impact

Unauthenticated remote attackers can trigger memory exhaustion on Grafana instances by sending large HTTP request bodies to affected API endpoints, causing service outage.

Affected Products

  • Grafana (open-source distribution) — multiple versions covered by vendor advisory
  • Grafana Enterprise editions sharing the affected API endpoint code paths
  • Self-hosted and containerized Grafana deployments exposing API endpoints

Discovery Timeline

  • 2026-07-10 - CVE-2026-33382 published to NVD
  • 2026-07-13 - Last updated in NVD database

Technical Details for CVE-2026-33382

Vulnerability Analysis

The vulnerability resides in Grafana's HTTP API handlers, which accept incoming request bodies without imposing an upper bound on payload size before parsing begins. When a client submits an oversized body, the server allocates memory proportional to the request to buffer and deserialize the content. Because several affected endpoints are unauthenticated, attackers do not need valid credentials to reach them. Repeated or concurrent large-payload requests can quickly consume all available heap memory. The Go runtime hosting Grafana then triggers out-of-memory conditions, killing worker goroutines or the entire process.

The attack pattern aligns with algorithmic resource exhaustion. A single attacker with modest bandwidth can send crafted payloads sized in the hundreds of megabytes or larger. Because parsing occurs before validation, early rejection is not possible without a code-level fix or an upstream size limit.

Root Cause

The root cause is missing input validation on HTTP request body length. The affected handlers invoke JSON or form decoding on the raw request body without wrapping it in a size-bounded reader such as http.MaxBytesReader. This allows the Go runtime to allocate buffers matching attacker-controlled input sizes, resulting in uncontrolled memory consumption.

Attack Vector

Exploitation requires only network access to a reachable Grafana API endpoint. The attacker crafts an HTTP POST or PUT request with an inflated body targeting one of the affected endpoints. No authentication, session token, or user interaction is needed for the unauthenticated endpoints. Sustained or parallel requests accelerate memory exhaustion and can render the Grafana service unresponsive to legitimate users.

No public proof-of-concept exploit code has been published. The vulnerability mechanism is described in the Grafana Security Advisory.

Detection Methods for CVE-2026-33382

Indicators of Compromise

  • Sudden spikes in Grafana process memory usage without a corresponding increase in legitimate user activity or dashboard load
  • HTTP access logs showing POST or PUT requests to Grafana API endpoints with Content-Length values in the hundreds of megabytes or larger
  • Grafana process restarts, out-of-memory kills, or container OOMKilled events in orchestrator logs
  • Repeated requests from a single source IP targeting the same API endpoint with unusually large bodies

Detection Strategies

  • Alert on any HTTP request to Grafana with Content-Length exceeding a defined threshold (for example, 10 MB) at the reverse proxy or WAF layer
  • Correlate Grafana process memory metrics with concurrent request volume to identify anomalous allocation patterns
  • Monitor for HTTP 5xx errors and connection resets originating from Grafana under low legitimate load

Monitoring Recommendations

  • Ingest Grafana access logs and system resource metrics into a centralized SIEM or data lake for correlation
  • Track memory utilization, garbage collection pause times, and process restart counts on Grafana hosts
  • Configure alerting on repeated large-body requests from single sources or unauthenticated clients

How to Mitigate CVE-2026-33382

Immediate Actions Required

  • Upgrade Grafana to the patched version specified in the Grafana Security Advisory
  • Place Grafana behind a reverse proxy or WAF that enforces a maximum request body size before requests reach the application
  • Restrict network access to Grafana API endpoints so only trusted networks or authenticated users can reach them
  • Review exposure of unauthenticated endpoints and disable public internet access where not required

Patch Information

Grafana Labs has published fixed versions in the vendor advisory. Administrators should review the Grafana Security Advisory for the exact version numbers applicable to their deployment channel and upgrade accordingly.

Workarounds

  • Configure an upstream reverse proxy such as NGINX or HAProxy to enforce client_max_body_size limits on requests routed to Grafana
  • Deploy rate limiting on API endpoints to reduce the impact of repeated large-payload requests
  • Isolate Grafana behind authenticated access controls or a VPN to minimize the unauthenticated attack surface
bash
# Example NGINX configuration limiting request body size to 1 MB for Grafana
server {
    listen 443 ssl;
    server_name grafana.example.com;

    client_max_body_size 1m;
    client_body_timeout 10s;

    location / {
        proxy_pass http://grafana_backend;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
    }
}

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.