Cyber Resilience

CVE-2025-10630

Medium

Published: 19 September 2025

Published
19 September 2025
Modified
15 April 2026
KEV Added
Patch
CVSS Score v3.1 4.3 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
EPSS Score 0.0011 29.7th percentile
Risk Priority 9 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2025-10630 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Grafana (inferred from references). Its CVSS base score is 4.3 (Medium).

Operationally, ranked at the 29.7th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

Grafana is an open-source platform for monitoring and observability. Grafana-Zabbix is a plugin for Grafana allowing to visualize monitoring data from Zabbix and create dashboards for analyzing metrics and realtime monitoring. Versions 5.2.1 and below contained a ReDoS vulnerability via…

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user-supplied regex query which could causes CPU usage to max out. This vulnerability is fixed in version 6.0.0.

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

Grafana
inferred from references and description; NVD did not file a CPE for this CVE

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-20

Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.

addresses: CWE-20

Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.

addresses: CWE-20

Directly implements checks on information inputs to reject invalid data before processing.

addresses: CWE-20

Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.

References