CVE-2025-13507 is a vulnerability in MongoDB Server related to improper validation of specified quantities in the time series processing logic, classified under CWE-1284. Specifically, the issue stems from inconsistent object size validation that allows oversized BSON documents to be processed beyond expected limits. This leads to an assertion failure within the MongoDB server, causing the process to terminate unexpectedly. The vulnerability affects MongoDB Server versions 7.0 prior to 7.0.26, 8.0 prior to 8.0.16, and 8.2 prior to 8.2.1. The CVSS 4.0 score of 7.1 reflects a high severity rating, with an attack vector of network (AV:N), low attack complexity (AC:L), no privileges required (PR:L), no user interaction (UI:N), and high impact on availability (VA:H). The vulnerability does not impact confidentiality or integrity but can cause denial of service by crashing the database server. No known exploits have been reported in the wild yet, but the vulnerability's characteristics make it a significant risk for disruption, especially in environments heavily reliant on time series data processing. MongoDB is widely used in various sectors for scalable database solutions, and time series data is critical in monitoring, IoT, and financial applications. The vulnerability's exploitation could lead to service outages, impacting business continuity and operational reliability.

For European organizations, the primary impact of CVE-2025-13507 is denial of service due to MongoDB server process termination. Organizations using affected MongoDB versions for time series data—common in sectors such as finance, telecommunications, energy, and manufacturing—may experience disruptions in data availability and operational processes. This can lead to downtime of critical applications, loss of real-time monitoring capabilities, and potential cascading effects on dependent systems. The lack of confidentiality or integrity impact reduces risks of data breaches, but availability loss can still cause significant financial and reputational damage. Given the network-based attack vector and no requirement for user interaction, attackers could remotely trigger the vulnerability, increasing the threat surface. European companies with large-scale deployments of MongoDB, especially those managing IoT or telemetry data, are particularly vulnerable. Additionally, regulatory requirements around service availability and incident reporting in Europe heighten the operational risks associated with this vulnerability.

1. Apply official MongoDB patches as soon as they are released for versions 7.0.26, 8.0.16, and 8.2.1 or later to remediate the vulnerability. 2. Until patches are applied, implement network-level controls to restrict access to MongoDB servers, limiting exposure to trusted IP addresses and internal networks only. 3. Monitor MongoDB server logs and system monitoring tools for unexpected process terminations or assertion failures indicative of exploitation attempts. 4. Employ rate limiting and anomaly detection on incoming database requests to detect and block attempts to send oversized BSON documents. 5. Review and harden time series data ingestion pipelines to validate input sizes before forwarding to MongoDB. 6. Maintain up-to-date backups and disaster recovery plans to minimize downtime impact in case of service disruption. 7. Educate DevOps and security teams about this specific vulnerability to ensure rapid response and patch management. 8. Consider deploying MongoDB in high-availability clusters or with failover mechanisms to reduce single points of failure.