RHSA-2026:54178
Vulnerability from csaf_opensuse - Published: 2026-08-12 07:12 - Updated: 2026-09-25 10:10Summary
Red Hat Security Advisory: grafana security, bug fix, and enhancement update
Severity
Moderate
Notes
Topic: An update for grafana is now available for Red Hat Enterprise Linux 10.
Red Hat Product Security has rated this update as having a security impact of Moderate. A Common Vulnerability Scoring System (CVSS) base score, which gives a detailed severity rating, is available for each vulnerability from the CVE link(s) in the References section.
Details: Grafana is an open source, feature rich metrics dashboard and graph editor for Graphite, InfluxDB & OpenTSDB.
Security Fix(es):
* grafana: Grafana: Privilege escalation via dashboard overwrite (CVE-2026-33377)
* grafana: Grafana Auth Proxy: Unauthorized access due to incorrect IPv6 allow-list default (CVE-2026-33376)
* grafana: Grafana: Denial of Service via unbounded memory growth in OAuth login route (CVE-2026-8609)
* grafana: Grafana: Denial of Service via excessive memory allocation from large API request payloads (CVE-2026-33382)
Bug Fix(es) and Enhancement(s):
* [grafana / rhel-10.2.z] Remove Lua ExclusiveArch macro for Konflux build (JIRA:RHEL-188282)
For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.
Terms of Use: This content is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). If you distribute this content, or a modified version of it, you must provide attribution to Red Hat Inc. and provide a link to the original.
A flaw was found in Grafana. An unauthenticated attacker can repeatedly access the OAuth login route with unique values. This can lead to unbounded memory growth, eventually exhausting system memory and causing the Grafana instance to crash. This results in a denial of service for legitimate users.
5.3 (Medium)
Affected products
Fixed
17 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: AppStream-10.2.Z:grafana-0:10.2.6-28.el10_2.4.aarch64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: AppStream-10.2.Z:grafana-0:10.2.6-28.el10_2.4.ppc64le | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: AppStream-10.2.Z:grafana-0:10.2.6-28.el10_2.4.s390x | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: AppStream-10.2.Z:grafana-0:10.2.6-28.el10_2.4.src | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: AppStream-10.2.Z:grafana-0:10.2.6-28.el10_2.4.x86_64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: AppStream-10.2.Z:grafana-debuginfo-0:10.2.6-28.el10_2.4.aarch64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: AppStream-10.2.Z:grafana-debuginfo-0:10.2.6-28.el10_2.4.ppc64le | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: AppStream-10.2.Z:grafana-debuginfo-0:10.2.6-28.el10_2.4.s390x | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: AppStream-10.2.Z:grafana-debuginfo-0:10.2.6-28.el10_2.4.x86_64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: AppStream-10.2.Z:grafana-debugsource-0:10.2.6-28.el10_2.4.aarch64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: AppStream-10.2.Z:grafana-debugsource-0:10.2.6-28.el10_2.4.ppc64le | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: AppStream-10.2.Z:grafana-debugsource-0:10.2.6-28.el10_2.4.s390x | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: AppStream-10.2.Z:grafana-debugsource-0:10.2.6-28.el10_2.4.x86_64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: AppStream-10.2.Z:grafana-selinux-0:10.2.6-28.el10_2.4.aarch64 | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: AppStream-10.2.Z:grafana-selinux-0:10.2.6-28.el10_2.4.ppc64le | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: AppStream-10.2.Z:grafana-selinux-0:10.2.6-28.el10_2.4.s390x | — |
Vendor Fix
fix
Workaround
|
|
| Unresolved product id: AppStream-10.2.Z:grafana-selinux-0:10.2.6-28.el10_2.4.x86_64 | — |
Vendor Fix
fix
Workaround
|
Threats
Impact
Moderate
A flaw in Grafana's Auth Proxy IPv6 allow-list incorrectly defaults to a broad /32 subnet mask instead of a strict /128. This misconfiguration allows remote attackers to bypass access restrictions, potentially leading to unauthorized access and data manipulation.
7.4 (High)
Affected products
Fixed
17 products, the same list as for
CVE-2026-8609
Threats
Impact
Moderate
A flaw was found in Grafana. A user with editor privileges can overwrite a dashboard not owned by them, leading to privilege escalation on that specific dashboard. This allows the editor to gain administrative control over the affected dashboard.
7.1 (High)
Affected products
Fixed
17 products, the same list as for
CVE-2026-8609
Threats
Impact
Moderate
A flaw in Grafana's API endpoints allows remote attackers to send excessively large request bodies without authentication. This exhausts server memory, resulting in a complete denial of service (DoS).
5.3 (Medium)
Affected products
Fixed
17 products, the same list as for
CVE-2026-8609
Threats
Impact
Moderate
A flaw was found in Grafana. An unauthenticated attacker can exploit the public dashboard query endpoint by sending arbitrarily large JSON payloads. This vulnerability, caused by a lack of request body size limits, triggers excessive memory allocation, leading to a denial of service through memory exhaustion.
7.5 (High)
Affected products
Fixed
17 products, the same list as for
CVE-2026-8609
Threats
Impact
Important
References
33 references
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],
"restart_required": {
"category": "none"
},
"url": "https://access.redhat.com/errata/RHSA-2026:54178"
},
{
"category": "workaround",
"details": "Deploy a reverse proxy or API gateway (e.g., Nginx) in front of Grafana configured to strictly limit the maximum HTTP request body size, dropping oversized payloads before they reach the backend. As a defense-in-depth measure, restrict network access to trusted internal clients via firewall rules. Note: Applying these proxy and network changes may require a service reload, causing a temporary interruption.",
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]
}
],
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L",
"version": "3.1"
},
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]
}
],
"threats": [
{
"category": "impact",
"details": "Moderate"
}
],
"title": "grafana: Grafana: Denial of Service via excessive memory allocation from large API request payloads"
},
{
"cve": "CVE-2026-42127",
"cwe": {
"id": "CWE-770",
"name": "Allocation of Resources Without Limits or Throttling"
},
"discovery_date": "2026-06-22T18:01:38.336979+00:00",
"ids": [
{
"system_name": "Red Hat Bugzilla ID",
"text": "2491449"
}
],
"notes": [
{
"category": "description",
"text": "A flaw was found in Grafana. An unauthenticated attacker can exploit the public dashboard query endpoint by sending arbitrarily large JSON payloads. This vulnerability, caused by a lack of request body size limits, triggers excessive memory allocation, leading to a denial of service through memory exhaustion.",
"title": "Vulnerability description"
},
{
"category": "summary",
"text": "grafana: Grafana: Denial of Service due to excessive memory allocation via large JSON payloads",
"title": "Vulnerability summary"
},
{
"category": "other",
"text": "This is an Important denial of service vulnerability in Grafana, affecting Red Hat products that include Grafana. Unauthenticated remote attackers can exploit the public dashboard query endpoint by sending large JSON payloads, leading to excessive memory allocation and potential service disruption. The absence of authentication requirements for exploitation increases the risk of widespread impact.",
"title": "Statement"
},
{
"category": "general",
"text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
"title": "CVSS score applicability"
}
],
"product_status": {
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},
"references": [
{
"category": "self",
"summary": "Canonical URL",
"url": "https://access.redhat.com/security/cve/CVE-2026-42127"
},
{
"category": "external",
"summary": "RHBZ#2491449",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2491449"
},
{
"category": "external",
"summary": "https://www.cve.org/CVERecord?id=CVE-2026-42127",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-42127"
},
{
"category": "external",
"summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-42127",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-42127"
},
{
"category": "external",
"summary": "https://grafana.com/security/security-advisories/cve-2026-42127",
"url": "https://grafana.com/security/security-advisories/cve-2026-42127"
}
],
"release_date": "2026-06-22T16:31:28.096000+00:00",
"remediations": [
{
"category": "vendor_fix",
"date": "2026-08-12T07:12:13+00:00",
"details": "For details on how to apply this update, which includes the changes described in this advisory, refer to:\n\nhttps://access.redhat.com/articles/11258",
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"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
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"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "grafana: Grafana: Denial of Service due to excessive memory allocation via large JSON payloads"
}
]
}
Loading…
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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