CVE-2025-2240 identifies a vulnerability in the smallrye-fault-tolerance component of Red Hat Build of Apache Camel 4.8 for Quarkus 3.15, specifically versions 6.3.0 and 6.5.0. The issue arises from improperly controlled sequential memory allocation triggered by calls to the metrics URI endpoint. Each request to this endpoint creates a new object within the internal meterMap data structure without adequate cleanup or limits, causing memory consumption to grow uncontrollably. This behavior can lead to an out-of-memory (OOM) condition, resulting in a denial of service (DoS) where the affected application becomes unresponsive or crashes. The vulnerability is remotely exploitable over the network without requiring authentication or user interaction, increasing its risk profile. The CVSS v3.1 score of 7.5 reflects the high impact on availability, with no impact on confidentiality or integrity. While no known exploits have been reported in the wild, the vulnerability’s characteristics make it a viable target for attackers aiming to disrupt services. The flaw is particularly relevant for environments where the metrics endpoint is exposed or accessible, such as in cloud-native deployments or microservices architectures using Quarkus and Apache Camel. The root cause lies in insufficient resource management and lack of rate limiting or input validation on the metrics URI, which should be addressed by the vendor through patches or configuration changes.

For European organizations, the primary impact of CVE-2025-2240 is the risk of denial of service due to out-of-memory conditions triggered remotely. This can lead to application downtime, service interruptions, and potential cascading failures in dependent systems. Enterprises relying on Red Hat Build of Apache Camel for critical business processes, especially those using Quarkus-based microservices, may experience degraded performance or outages, affecting customer service and operational continuity. The vulnerability does not compromise data confidentiality or integrity but can severely impact availability, which is critical for sectors such as finance, telecommunications, healthcare, and public services. Additionally, the ease of exploitation without authentication means that attackers can launch DoS attacks from external networks, increasing exposure. The lack of known exploits currently provides a window for proactive mitigation, but organizations should act swiftly to prevent potential attacks. The impact is heightened in cloud or containerized environments where resource limits might be shared or constrained, amplifying the effect of memory exhaustion.

To mitigate CVE-2025-2240, organizations should first monitor for updates and patches from Red Hat and apply them promptly once available. In the interim, implement strict rate limiting on the metrics URI endpoint to prevent excessive requests that trigger memory allocation. Restrict access to the metrics endpoint using network controls such as firewalls, VPNs, or API gateways to limit exposure to trusted users or internal networks only. Review and adjust resource quotas and memory limits in container orchestration platforms (e.g., Kubernetes) to contain the impact of potential OOM conditions. Enable detailed logging and alerting on unusual metrics endpoint activity to detect potential exploitation attempts early. Consider disabling or restricting non-essential metrics endpoints if they are not required for monitoring. Conduct regular security assessments and penetration testing focusing on exposed management or monitoring interfaces. Finally, educate development and operations teams about secure configuration and the risks of exposing internal endpoints.