CVE-2025-10630VulnerabilityPublished 19 Sep 2025Updated 24 Sep 2025

CVE-2025-10630: grafana-zabbix-plugin · Improper Input Validation

Affects grafana-zabbix-pluginSource CVE Database V5

Not known to be exploited · CVSS 4.3 Medium · fixed in 6.0.0 : update grafana-zabbix-plugin when convenient.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.1 base score

4.3Medium

How severe the flaw is on the 0–10 CVSS scale.

EPSS: 0.3% chance of exploitation in 30 days – higher than 29% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch: Available – fixed in 6.0.0

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L

Attack Vector: Network
Attack Complexity: Low
Privileges Required: Low
User Interaction: None
Scope: Unchanged
Confidentiality: None
Integrity: None
Availability: Low

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Network: The vulnerable component is bound to the network stack and the set of possible attackers extends beyond the other options listed, up to and including the entire Internet. Such a vulnerability is often termed 'remotely exploitable' and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).
Attack Complexity: Low: Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success against the vulnerable component.
Privileges Required: Low: The attacker is authorized with (i.e., requires) privileges that provide basic user capabilities that could normally affect only settings and files owned by a user. Alternatively, an attacker with Low privileges may have the ability to cause an impact only to non-sensitive resources.
User Interaction: None: The vulnerable system can be exploited without any interaction from any user.
Scope: Unchanged: An exploited vulnerability can only affect resources managed by the same security authority. In this case, the vulnerable component and the impacted component are either the same, or both are managed by the same security authority.
Confidentiality: None: There is no loss of confidentiality within the impacted component.
Integrity: None: There is no loss of integrity within the impacted component.
Availability: Low: Performance is reduced or there are interruptions in resource availability. Even if repeated exploitation of the vulnerability is possible, the attacker does not have the ability to completely deny service to legitimate users. The resources in the impacted component are either partially available all of the time, or fully available only some of the time, but overall there is no direct, serious consequence to the impacted component.

Definitions: FIRST CVSS v3.1 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 19 Sep 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-26.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponised: Public exploit code exists in Metasploit or Exploit-DB, or CISA SSVC reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

Affected software

Product	Affected	Fixed in
Grafana grafana-zabbix-plugin	Affected =0	Fixed in–

AI-suggested

European organizations should prioritize upgrading the grafana-zabbix-plugin to version 6.0.0 or later, where the vulnerability is fixed. Until the upgrade is applied, organizations can implement input validation controls at the application or network level to restrict or sanitize user-supplied regex queries, preventing malicious patterns from reaching the plugin. Monitoring CPU usage on Grafana servers and setting alerts for abnormal spikes can help detect exploitation attempts early. Additionally, restricting access to the Grafana dashboard and plugin interfaces using network segmentation, VPNs, or strong authentication mechanisms can reduce the attack surface. Organizations should also review and limit user privileges to minimize the potential for low-privilege users to submit harmful regex queries. Regular vulnerability scanning and patch management processes should be enforced to ensure timely detection and remediation of such vulnerabilities in monitoring infrastructure components.

Description

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

Impact

For European organizations, the impact of this vulnerability primarily concerns the availability of monitoring and observability systems that rely on the Grafana-Zabbix plugin. Disruption of monitoring dashboards can delay detection of critical incidents, degrade operational visibility, and impair incident response capabilities. Organizations in sectors with high reliance on real-time monitoring—such as finance, telecommunications, energy, and critical infrastructure—may experience operational risks if their monitoring systems become unresponsive. While the vulnerability does not directly compromise data confidentiality or integrity, the denial of service could indirectly affect service levels and compliance with regulatory requirements for system availability and incident management. Given the widespread adoption of Grafana and Zabbix in Europe, especially among enterprises and managed service providers, the vulnerability poses a tangible risk to business continuity and service reliability if exploited.

CWE-20Improper Input Validation (opens in a new tab)
Class weaknessLikelihood of exploit: HighCWE Top 25 (2025): #18OWASP Top 10 A05:2025: Injection (opens in a new tab)
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.
MITRE discourages mapping vulnerabilities to this broad entry; the root cause is usually a more specific weakness.
Architecture and Design · Attack Surface Reduction
Consider using language-theoretic security (LangSec) techniques that characterize inputs using a formal language and build "recognizers" for that language. This effectively requires parsing to be a distinct layer that effectively enforces a boundary between raw input and internal data representations, instead of…
Architecture and Design · Libraries or Frameworks
Use an input validation framework such as Struts or the OWASP ESAPI Validation API. Note that using a framework does not automatically address all input validation problems; be mindful of weaknesses that could arise from misusing the framework itself (CWE-1173).
Architecture and Design · Implementation · Attack Surface Reduction
Understand all the potential areas where untrusted inputs can enter the product, including but not limited to: parameters or arguments, cookies, anything read from the network, environment variables, reverse DNS lookups, query results, request headers, URL components, e-mail, files, filenames, databases, and any…
OWASP Cheat Sheets
XML Security (opens in a new tab)
Mass Assignment (opens in a new tab)
Injection Prevention (opens in a new tab)
SQL Injection Prevention (opens in a new tab)
Injection Prevention in Java (opens in a new tab)
OWASP ASVS 4.0.3
V13.3.1 (opens in a new tab)
V5.1.4 (opens in a new tab)
V5.1.3 (opens in a new tab)
Attack patterns
Buffer Overflow via Environment Variables (opens in a new tab)
Server Side Include (SSI) Injection (opens in a new tab)
Cross Zone Scripting (opens in a new tab)
Command Line Execution through SQL Injection (opens in a new tab)
Object Relational Mapping Injection (opens in a new tab)
From MITRE CWE, MITRE CAPEC and OWASP (Top 10, OpenCRE).

References

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 27 Sep 2025, 00:40 UTC

WeaknessesCWE-20

Technical details

References

Community reviews

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