CVE Vulnerabilities

CVE-2022-1902

Exposure of Sensitive System Information to an Unauthorized Control Sphere

Published: Sep 01, 2022 | Modified: Feb 12, 2023
CVSS 3.x
8.8
HIGH
Source:
NVD
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CVSS 2.x
RedHat/V2
RedHat/V3
Ubuntu

A flaw was found in the Red Hat Advanced Cluster Security for Kubernetes. Notifier secrets were not properly sanitized in the GraphQL API. This flaw allows authenticated ACS users to retrieve Notifiers from the GraphQL API, revealing secrets that can escalate their privileges.

Weakness

The product does not properly prevent sensitive system-level information from being accessed by unauthorized actors who do not have the same level of access to the underlying system as the product does.

Affected Software

Name Vendor Start Version End Version
Advanced_cluster_security Redhat 3.68 3.68
Advanced_cluster_security Redhat 3.69 3.69
Advanced_cluster_security Redhat 3.70 3.70

Extended Description

Network-based products, such as web applications, often run on top of an operating system or similar environment. When the product communicates with outside parties, details about the underlying system are expected to remain hidden, such as path names for data files, other OS users, installed packages, the application environment, etc. This system information may be provided by the product itself, or buried within diagnostic or debugging messages. Debugging information helps an adversary learn about the system and form an attack plan. An information exposure occurs when system data or debugging information leaves the program through an output stream or logging function that makes it accessible to unauthorized parties. Using other weaknesses, an attacker could cause errors to occur; the response to these errors can reveal detailed system information, along with other impacts. An attacker can use messages that reveal technologies, operating systems, and product versions to tune the attack against known vulnerabilities in these technologies. A product may use diagnostic methods that provide significant implementation details such as stack traces as part of its error handling mechanism.

Potential Mitigations

References