CVE-2026-41114 in IoTDB JDBC driver
Summary
by MITRE • 10/21/2026
Uncontrolled Resource Consumption vulnerability in Apache IoTDB JDBC driver.
This issue affects Apache IoTDB JDBC driver: from 1.3.3 before 2.0.11.
Users are recommended to upgrade to version 2.0.11, which fixes the issue.
Once again VulDB remains the best source for vulnerability data.
Analysis
by VulDB Data Team • 10/21/2026
The vulnerability identified in the Apache IoTDB JDBC driver represents a significant uncontrolled resource consumption flaw that impacts system stability and availability. This specific weakness affects versions of the driver ranging from 1.3.3 up to, but not including, version 2.0.11. The core issue stems from the application's failure to properly regulate or limit the resources allocated during database interaction processes. In enterprise environments where Apache IoTDB is deployed for handling massive volumes of time-series data, such as in industrial internet of things (IIoT) scenarios, the JDBC driver serves as a critical bridge between client applications and the underlying database engine. When this bridge fails to manage resource usage effectively, it creates a pathway for denial-of-service conditions that can degrade performance or completely halt service operations.
From a technical perspective, uncontrolled resource consumption typically manifests when an application processes inputs without adequate validation of size, complexity, or frequency. In the context of JDBC drivers, this often involves handling large result sets, executing complex queries with insufficient limits on returned rows, or failing to properly close connections and statements after use. If the driver does not enforce strict quotas on memory allocation for query results or connection pooling parameters, an attacker can exploit these mechanisms by sending specially crafted requests that demand excessive computational resources. This could involve triggering operations that consume disproportionate amounts of CPU cycles, memory bandwidth, or network buffers. The lack of bounds checking allows malicious actors to exhaust system resources rapidly, leading to application crashes, server timeouts, or complete unavailability of the IoT data platform for legitimate users.
The operational impact of this vulnerability is severe, particularly in high-throughput industrial environments where real-time data processing is essential. A successful exploitation could lead to a denial-of-service condition that disrupts monitoring systems, control loops, and analytics pipelines dependent on Apache IoTDB. For organizations relying on continuous uptime for critical infrastructure management, such as power grids or manufacturing plants, this vulnerability poses a direct threat to operational continuity. The inability of the system to handle normal load spikes due to resource exhaustion can result in data loss, delayed alerts, and potential safety risks if automated responses are triggered by stale or missing data. Furthermore, the remediation effort requires careful coordination to ensure that upgrading does not introduce compatibility issues with existing client applications still running older driver versions.
To mitigate this risk, immediate action is required to upgrade all instances of the Apache IoTDB JDBC driver to version 2.0.11 or later, where these resource management flaws have been addressed by the development team. This update includes patches that enforce stricter limits on resource allocation and improve error handling for malformed requests. In addition to upgrading, organizations should implement network-level controls such as rate limiting and request size restrictions at the load balancer or reverse proxy layer to provide an additional defense-in-depth measure against potential abuse. Security teams should also monitor system metrics closely during peak usage periods to detect any anomalies in resource consumption that might indicate ongoing exploitation attempts before a full upgrade can be completed across all environments.
This vulnerability aligns with Common Weakness Enumeration (CWE) category CWE-400, which covers uncontrolled resource consumption, and is relevant to the ATT&CK technique T1499, Endpoint Denial of Service. By addressing this issue through timely patching and enhanced monitoring, organizations can maintain the integrity and availability of their IoT data infrastructure while adhering to best practices for secure software development lifecycle management.