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External Secrets Operator's Missing Namespace Restriction Allows Unauthorized Secret Access

High severity GitHub Reviewed Published Aug 13, 2025 in external-secrets/external-secrets • Updated Aug 14, 2025

Package

gomod github.com/external-secrets/external-secrets (Go)

Affected versions

>= 0.15.0, < 0.19.2

Patched versions

0.19.2

Description

Summary

A vulnerability was discovered in the External Secrets Operator where the List() calls for Kubernetes Secret and SecretStore resources performed by the PushSecret controller did not apply a namespace selector.
This flaw allowed an attacker to use label selectors to list and read secrets/secret-stores across the cluster, bypassing intended namespace restrictions.

Impact

An attacker with the ability to create or update PushSecret resources and control SecretStore configurations could exploit this vulnerability to exfiltrate sensitive data from arbitrary namespaces.
This could lead to full disclosure of Kubernetes secrets, including credentials, tokens, and other sensitive information stored in the cluster.

Exploitability

To exploit this vulnerability, an attacker must:

  1. Have permissions to create or update PushSecret resources.
  2. Control one or more SecretStore resources.

With these conditions met, the attacker could leverage label selectors to list secrets from any namespace and retrieve their contents.

Affected Versions

  • Vulnerable: v0.15.0 – v0.19.1
  • Not Vulnerable: v0.19.2 and later

Fix

The vulnerability was addressed in v0.19.2 by adding namespace restrictions to the List() calls for both PushSecret and SecretStore controllers.
This ensures that only secrets in the intended namespace are accessible.

Relevant fixes:

  • #5133 – Enforce namespace selector for PushSecret List() calls
  • #5109 – Enforce namespace selector for SecretStore List() calls

Mitigation

If upgrading to v0.19.2 or later is not immediately possible, the following mitigations are recommended:

  • Restrict RBAC permissions so that only trusted service accounts can create or update PushSecret and SecretStore resources.
  • Audit existing PushSecret and SecretStore resources to ensure they are controlled by trusted parties.
  • Review Network Policies to prevent data exfiltration

Credit

This vulnerability was reported by @gracedo and @moolen

References

@moolen moolen published to external-secrets/external-secrets Aug 13, 2025
Published to the GitHub Advisory Database Aug 13, 2025
Reviewed Aug 13, 2025
Published by the National Vulnerability Database Aug 13, 2025
Last updated Aug 14, 2025

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity Low
Attack Requirements None
Privileges Required Low
User interaction None
Vulnerable System Impact Metrics
Confidentiality High
Integrity None
Availability None
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(7th percentile)

Weaknesses

Improper Access Control

The product does not restrict or incorrectly restricts access to a resource from an unauthorized actor. Learn more on MITRE.

CVE ID

CVE-2025-55196

GHSA ID

GHSA-fcxq-v2r3-cc8h

Source code

Credits

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