GHSA-6XFF-CPCQ-VPW2
Vulnerability from github – Published: 2026-06-19 21:32 – Updated: 2026-08-28 21:50
VLAI
Summary
Grafana Tempo vulnerable to an out-of-memory crash
Details
A TraceQL query in Grafana Tempo with a large exemplars hint value can cause the Tempo instance to allocate an excessive amount of memory, resulting in an out-of-memory crash. This could allow an authenticated user to trigger a denial of service against the Tempo service.
Severity
6.5 (Medium)
{
"affected": [
{
"package": {
"ecosystem": "Go",
"name": "github.com/grafana/tempo"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.5.1-0.20260303204923-b13f74291d48"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-27878"
],
"database_specific": {
"cwe_ids": [
"CWE-400"
],
"github_reviewed": true,
"github_reviewed_at": "2026-08-28T21:50:55Z",
"nvd_published_at": "2026-06-19T19:16:34Z",
"severity": "MODERATE"
},
"details": "A TraceQL query in Grafana Tempo with a large exemplars hint value can cause the Tempo instance to allocate an excessive amount of memory, resulting in an out-of-memory crash. This could allow an authenticated user to trigger a denial of service against the Tempo service.",
"id": "GHSA-6xff-cpcq-vpw2",
"modified": "2026-08-28T21:50:55Z",
"published": "2026-06-19T21:32:47Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-27878"
},
{
"type": "WEB",
"url": "https://github.com/grafana/tempo/pull/6559"
},
{
"type": "WEB",
"url": "https://github.com/grafana/tempo/pull/6646"
},
{
"type": "WEB",
"url": "https://github.com/grafana/tempo/pull/6792"
},
{
"type": "WEB",
"url": "https://github.com/grafana/tempo/pull/6802"
},
{
"type": "WEB",
"url": "https://github.com/grafana/tempo/commit/3d7c78d438890991df594c20ae2031f8934aba3b"
},
{
"type": "WEB",
"url": "https://github.com/grafana/tempo/commit/b13f74291d489672601a10297f8fbcbf7dd19192"
},
{
"type": "WEB",
"url": "https://github.com/grafana/tempo/commit/b481ae9693f99785691197915066e6306950fa09"
},
{
"type": "WEB",
"url": "https://github.com/grafana/tempo/commit/e2d51b786aff94de3319c07994c6a5539b121eb5"
},
{
"type": "PACKAGE",
"url": "https://github.com/grafana/tempo"
},
{
"type": "WEB",
"url": "https://github.com/grafana/tempo/releases/tag/v2.10.2"
},
{
"type": "WEB",
"url": "https://github.com/grafana/tempo/releases/tag/v2.8.4"
},
{
"type": "WEB",
"url": "https://github.com/grafana/tempo/releases/tag/v2.9.2"
},
{
"type": "WEB",
"url": "https://grafana.com/security/security-advisories/cve-2026-27878"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "Grafana Tempo vulnerable to an out-of-memory crash"
}
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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.
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.
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