Skupper Console Authentication Bypass and Resource Exhaustion Vulnerability
CVE-2024-12582 Published on December 24, 2024

Skupper: skupper-cli: flawed authentication method may lead to arbitrary file read or denial of service
A flaw was found in the skupper console, a read-only interface that renders cluster network, traffic details, and metrics for a network application that a user sets up across a hybrid multi-cloud environment. When the default authentication method is used, a random password is generated for the "admin" user and is persisted in either a Kubernetes secret or a podman volume in a plaintext file. This authentication method can be manipulated by an attacker, leading to the reading of any user-readable file in the container filesystem, directly impacting data confidentiality. Additionally, the attacker may induce skupper to read extremely large files into memory, resulting in resource exhaustion and a denial of service attack.

Vendor Advisory NVD

Vulnerability Analysis

CVE-2024-12582 is exploitable with network access, and requires small amount of user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have a small impact on confidentiality, a small impact on integrity, and a high impact on availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
LOW
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
LOW
Integrity Impact:
NONE
Availability Impact:
HIGH

Timeline

Reported to Red Hat.

Made public.

Weakness Type

Authentication Bypass by Primary Weakness

The authentication algorithm is sound, but the implemented mechanism can be bypassed as the result of a separate weakness that is primary to the authentication error.


Products Associated with CVE-2024-12582

Want to know whenever a new CVE is published for Red Hat Service Interconnect? stack.watch will email you.

 

Exploit Probability

EPSS
0.11%
Percentile
29.46%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.