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CVE-2025-1634: Missing Release of Memory after Effective Lifetime

High
VulnerabilityCVE-2025-1634cvecve-2025-1634
Published: Wed Feb 26 2025 (02/26/2025, 16:56:23 UTC)
Source: CVE Database V5

Description

A flaw was found in the quarkus-resteasy extension, which causes memory leaks when client requests with low timeouts are made. If a client request times out, a buffer is not released correctly, leading to increased memory usage and eventual application crash due to OutOfMemoryError.

AI-Powered Analysis

AILast updated: 08/02/2025, 00:35:11 UTC

Technical Analysis

CVE-2025-1634 is a high-severity vulnerability affecting the quarkus-resteasy extension, a component commonly used in Java-based microservices and RESTful web applications built on the Quarkus framework. The flaw arises from improper memory management when handling client requests with low timeout values. Specifically, if a client request times out, the buffer allocated for processing that request is not correctly released. This leads to a memory leak, causing the application's memory consumption to grow progressively. Over time, this unchecked memory growth can culminate in an OutOfMemoryError, resulting in application crashes and service disruptions. The vulnerability does not impact confidentiality or integrity but severely affects availability. The CVSS 3.1 score of 7.5 reflects this high impact on availability, with an attack vector of network (AV:N), low attack complexity (AC:L), no privileges required (PR:N), and no user interaction needed (UI:N). The scope remains unchanged (S:U), and there is no impact on confidentiality or integrity (C:N/I:N). No known exploits are currently reported in the wild, and no patches or mitigations are directly linked yet. The affected versions are not clearly specified beyond placeholders, but the vulnerability is tied to the quarkus-resteasy extension, which is widely used in modern cloud-native Java applications.

Potential Impact

For European organizations, this vulnerability poses a significant risk to the availability and reliability of applications built using the Quarkus framework with the resteasy extension. Organizations relying on microservices architectures for critical business functions, especially those with strict SLAs, could experience service outages or degraded performance due to memory exhaustion. This is particularly concerning for sectors such as finance, healthcare, telecommunications, and public services, where application downtime can lead to operational disruptions, financial losses, and reputational damage. The absence of confidentiality or integrity impact reduces the risk of data breaches, but the denial of service potential remains a critical concern. Additionally, since the vulnerability can be triggered remotely without authentication or user interaction, attackers or even malformed client requests could inadvertently or deliberately cause service degradation. This could be exploited in denial-of-service scenarios or exacerbate existing load conditions, impacting the resilience of European digital infrastructure.

Mitigation Recommendations

To mitigate this vulnerability, European organizations should first identify all applications and services using the quarkus-resteasy extension. Immediate steps include: 1) Applying any available patches or updates from the Quarkus project or Red Hat as soon as they are released. 2) Implementing strict request timeout policies and monitoring to detect abnormal memory usage patterns. 3) Employing runtime memory monitoring and alerting to catch early signs of memory leaks. 4) Using container orchestration platforms (e.g., Kubernetes) to enforce resource limits and automatic restarts of affected pods to reduce downtime impact. 5) If patches are not yet available, consider temporary workarounds such as increasing memory allocation or adjusting client timeout settings to avoid triggering the leak. 6) Conducting thorough testing in staging environments to validate fixes and monitor memory behavior under various timeout scenarios. 7) Reviewing application logs and metrics to detect potential exploitation attempts or unusual request patterns. These targeted actions go beyond generic advice by focusing on the specific nature of the memory leak and the operational context of affected applications.

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Technical Details

Data Version
5.1
Assigner Short Name
redhat
Date Reserved
2025-02-24T14:23:22.369Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 68629a946f40f0eb728bd83d

Added to database: 6/30/2025, 2:09:24 PM

Last enriched: 8/2/2025, 12:35:11 AM

Last updated: 8/18/2025, 1:51:42 AM

Views: 26

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