CVE-2026-30822 in Flowise
Summary
by MITRE • 03/07/2026
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.0.13, unauthenticated users can inject arbitrary values into internal database fields when creating leads. This issue has been patched in version 3.0.13.
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Analysis
by VulDB Data Team • 03/12/2026
The vulnerability identified as CVE-2026-30822 affects Flowise, a drag-and-drop interface designed for building customized large language model workflows. This application serves as a platform for creating and managing AI-powered data processing pipelines, making it a critical component in modern machine learning infrastructure. The flaw exists in the lead creation functionality where the application fails to properly validate and sanitize user inputs before storing them in internal database fields. This represents a significant security weakness that undermines the integrity of the application's data management systems and could potentially compromise the entire platform's security posture.
The technical implementation of this vulnerability stems from inadequate input validation mechanisms within the lead creation process. When unauthenticated users submit data through the interface to create new leads, the system does not properly filter or sanitize the values entered into internal database fields. This allows malicious actors to inject arbitrary data that can manipulate the database structure or content. The vulnerability specifically affects versions prior to 3.0.13, indicating that the developers identified and addressed the issue through proper input validation and sanitization measures. This flaw aligns with CWE-20, which describes improper input validation, and represents a classic case of insufficient sanitization that can lead to data corruption and potential unauthorized access to database resources.
The operational impact of this vulnerability extends beyond simple data manipulation as it creates opportunities for more sophisticated attacks within the Flowise ecosystem. An attacker could potentially exploit this weakness to inject malicious data that might interfere with legitimate database operations, corrupt existing lead records, or even gain insights into the underlying database structure. The unauthenticated nature of the attack means that any user with access to the application interface can exploit this vulnerability without requiring prior authorization, making it particularly dangerous in multi-user environments. This issue could enable attackers to disrupt business operations, compromise sensitive data, or potentially use the compromised lead data as a stepping stone for further attacks within the system infrastructure.
The mitigation for CVE-2026-30822 involves upgrading to Flowise version 3.0.13 or later, which contains the necessary patches to address the input validation shortcomings. Organizations should implement comprehensive testing procedures to ensure that the upgrade does not introduce compatibility issues with existing workflows and integrations. Security teams should also conduct thorough assessments of the application's database access controls and monitor for any unusual data modifications that might indicate exploitation attempts. This vulnerability highlights the importance of implementing defense-in-depth strategies including proper input validation, access controls, and regular security assessments as recommended by the MITRE ATT&CK framework for application security. Organizations utilizing Flowise should also consider implementing network segmentation and monitoring solutions to detect and prevent unauthorized access attempts to their AI infrastructure components.