CVE-2025-10450 is a vulnerability identified in RTI Connext Professional Core Libraries, specifically affecting versions 7.2.0 up to but not including 7.3.1, and versions starting from 7.4.0 before 7.*. The flaw allows an unauthorized actor to intercept and sniff network traffic, resulting in the exposure of private personal information. This vulnerability is categorized under CWE-359, which pertains to the exposure of sensitive data to unauthorized entities. The root cause lies in insufficient protection of data transmitted over the network, potentially due to lack of encryption or weak encryption mechanisms within the affected RTI Connext Professional versions. Exploitation does not require authentication or user interaction, and the attack vector is network-based, making it accessible to attackers with network access to the vulnerable systems. The CVSS 4.0 vector (AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:L/VA:L/SC:N/SI:N/SA:N) reflects a high severity score of 8.3, highlighting the critical confidentiality impact and relatively low complexity of exploitation. RTI Connext Professional is widely used in real-time data distribution for industrial IoT, autonomous systems, and critical infrastructure, making this vulnerability particularly concerning for environments where sensitive personal or operational data is transmitted. Although no known exploits have been reported in the wild, the potential for data leakage and privacy violations necessitates prompt attention from affected organizations. The absence of patch links suggests that a fix may be forthcoming or pending release by the vendor, emphasizing the need for interim mitigations.

The primary impact of CVE-2025-10450 is the unauthorized exposure of private personal information through network traffic sniffing. For European organizations, especially those operating in sectors such as manufacturing, automotive, healthcare, and critical infrastructure where RTI Connext Professional is deployed, this vulnerability could lead to significant data breaches compromising personal data and potentially sensitive operational information. The confidentiality breach could result in regulatory non-compliance under GDPR, leading to legal penalties and reputational damage. Additionally, exposure of sensitive data could facilitate further targeted attacks, including espionage or sabotage. The integrity and availability impacts are rated lower but still present a risk if attackers leverage the exposed information to disrupt services or manipulate data flows. Given the network-based attack vector and lack of required authentication, attackers with network access—internal or via compromised perimeter defenses—can exploit this vulnerability. This elevates the risk profile for organizations with interconnected industrial control systems or distributed IoT deployments common in Europe’s advanced manufacturing and smart city initiatives.

1. Monitor RTI’s official channels closely for the release of security patches addressing CVE-2025-10450 and apply them immediately upon availability. 2. Enforce the use of strong encryption protocols (e.g., TLS 1.3) for all communications involving RTI Connext Professional to prevent network sniffing. 3. Implement strict network segmentation and access controls to limit exposure of RTI Connext Professional traffic to trusted network zones only. 4. Deploy network intrusion detection and prevention systems (IDS/IPS) with signatures or anomaly detection tuned to identify suspicious sniffing or data exfiltration attempts. 5. Conduct regular security audits and penetration tests focusing on network traffic security within environments using RTI Connext Professional. 6. Educate network administrators and security teams about this vulnerability to ensure rapid detection and response. 7. Where feasible, use VPNs or dedicated secure tunnels for remote access to systems running RTI Connext Professional. 8. Review and harden configurations of RTI Connext Professional deployments to disable any unnecessary network services or debug interfaces that could increase attack surface.