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CVE-2023-4456: Insufficient Granularity of Access Control in Red Hat RHOL-5.5-RHEL-8

0
Medium
VulnerabilityCVE-2023-4456cvecve-2023-4456
Published: Mon Aug 21 2023 (08/21/2023, 15:19:22 UTC)
Source: CVE Database V5
Vendor/Project: Red Hat
Product: RHOL-5.5-RHEL-8

Description

A flaw was found in openshift-logging LokiStack. The key used for caching is just the token, which is too broad. This issue allows a user with a token valid for one action to execute other actions as long as the authorization allowing the original action is still cached.

AI-Powered Analysis

AILast updated: 11/20/2025, 18:41:29 UTC

Technical Analysis

CVE-2023-4456 identifies an access control vulnerability in Red Hat's RHOL-5.5-RHEL-8, specifically within the openshift-logging LokiStack component. The root cause is the caching mechanism that uses only the user token as the cache key for authorization decisions. This approach lacks sufficient granularity, meaning that once a token is validated for a particular action, the cached authorization allows the same token to perform other actions without revalidation. Consequently, a user possessing a token authorized for one action can exploit the cached authorization to execute additional actions beyond their original permissions. The vulnerability affects the integrity of the system by enabling unauthorized operations, although it does not impact confidentiality or availability directly. The CVSS 3.1 score is 5.7 (medium severity), reflecting that the attack vector is network-based, requires low attack complexity, and privileges with user interaction. No known exploits have been reported yet, but the flaw could be leveraged in environments where token reuse and caching are prevalent. The issue highlights the importance of fine-grained access control and careful caching strategies in multi-tenant or token-based authentication systems, especially in complex container orchestration platforms like OpenShift.

Potential Impact

For European organizations, this vulnerability could allow users with limited privileges to escalate their capabilities within the OpenShift logging infrastructure, potentially leading to unauthorized configuration changes, log tampering, or other integrity violations. This could undermine trust in logging data, which is critical for incident detection and compliance auditing. Organizations in sectors with strict regulatory requirements (e.g., finance, healthcare, critical infrastructure) may face increased risk of non-compliance or operational disruption if attackers exploit this flaw. The impact is primarily on integrity, with no direct confidentiality or availability compromise, but the ability to perform unauthorized actions could facilitate further attacks or data manipulation. Given the widespread use of Red Hat OpenShift in European enterprises and public sector entities, the vulnerability could affect a broad range of organizations, particularly those relying on centralized logging and monitoring for security operations.

Mitigation Recommendations

Organizations should monitor Red Hat advisories closely and apply patches or updates addressing this vulnerability as soon as they become available. In the interim, administrators should review and tighten token management policies, ensuring tokens have minimal scope and lifetime. Reducing the caching duration or disabling caching of authorization results where feasible can limit the window of unauthorized action. Implementing additional access control layers or multi-factor authentication for sensitive operations can further reduce risk. Logging and monitoring should be enhanced to detect unusual or unauthorized actions that may indicate exploitation attempts. Finally, conducting a thorough review of OpenShift logging configurations and access controls can help identify and remediate potential weaknesses related to token reuse and authorization caching.

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Technical Details

Data Version
5.1
Assigner Short Name
redhat
Date Reserved
2023-08-21T11:46:25.407Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 68e8557cba0e608b4fb1eec0

Added to database: 10/10/2025, 12:38:20 AM

Last enriched: 11/20/2025, 6:41:29 PM

Last updated: 11/30/2025, 7:49:00 AM

Views: 50

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