CVE-2026-68571 in Kylin
Summary
by MITRE • 10/16/2026
Improper Control of Generation of Code ('Code Injection') vulnerability in Apache Kylin. Special parameter in JDBC URL can lead to code injection. Impact most to the kylin services that are directly exposed to public network, which is not common. In-house kylin deployments are mostly not impacted.
This issue affects Apache Kylin: from 4 through 5.0.4.
Users are recommended to upgrade to version 5.0.5, which fixes the issue.
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Analysis
by VulDB Data Team • 10/17/2026
The vulnerability identified as Improper Control of Generation of Code, commonly referred to as code injection within the context of Apache Kylin, represents a critical security flaw that allows an attacker to execute arbitrary commands on the underlying system hosting the application. This specific weakness stems from insufficient validation and sanitization of input parameters passed through the Java Database Connectivity (JDBC) URL configuration. When constructing database connections, applications often parse connection strings for hostnames, ports, usernames, passwords, and additional driver-specific properties. In this instance, Apache Kylin fails to adequately restrict or validate certain special characters or command sequences embedded within these JDBC URL parameters. If an attacker can influence the content of these parameters, they may inject malicious code that is subsequently interpreted by the underlying Java Virtual Machine or database driver as executable commands rather than mere configuration data. This mechanism aligns with CWE-94, which describes Improper Control of Generation of Code (Code Injection), where a software application allows the injection and execution of arbitrary code due to inadequate neutralization of user-controllable inputs before they are passed to an interpreter.
The operational impact of this vulnerability is heavily dependent on the deployment architecture and network exposure of the Apache Kylin instance. The advisory explicitly notes that services directly exposed to public networks face the highest risk, as external attackers can potentially craft malicious JDBC URLs or manipulate connection parameters sent during authentication or query execution phases. However, it is crucial to contextualize the threat landscape for this specific vulnerability. In-house deployments and internal enterprise environments typically isolate Kylin behind firewalls, load balancers, and strict network segmentation policies that prevent direct internet access. Consequently, while the technical severity of code injection remains high due to its potential for complete system compromise, the practical exploitability is significantly lower in most standard corporate setups where Kylin serves as an internal data warehousing tool rather than a public-facing service. The risk escalates primarily when Kylin is integrated with external systems or exposed via APIs without robust input validation layers at the network perimeter.
To mitigate this vulnerability and secure Apache Kylin deployments, immediate action is required to upgrade the software infrastructure. Users are strongly recommended to migrate to version 5.0.5 or later, which incorporates patches designed to sanitize and validate JDBC URL parameters more rigorously, thereby preventing the execution of injected code sequences. Beyond upgrading, organizations should implement defense-in-depth strategies by ensuring that any component interacting with Kylin validates input data before passing it to the application layer. Network-level controls such as Web Application Firewalls (WAFs) can also be configured to detect and block anomalous JDBC URL patterns containing suspicious characters or command injection signatures. Furthermore, adhering to the principle of least privilege is essential; database accounts used by Kylin should have minimal permissions necessary for their function, limiting the potential damage even if an injection attempt succeeds. Regular security audits and penetration testing focused on input validation weaknesses will help identify similar flaws in custom integrations or extensions that may not be covered by standard patches. This approach aligns with ATT&CK techniques related to command and script interpretation, ensuring that attackers cannot leverage application logic errors to gain unauthorized access or control over the host environment.