CVE-2025-61913 is a critical security vulnerability identified in Flowise, a drag-and-drop user interface designed to build customized large language model workflows. The vulnerability specifically affects versions prior to 3.0.8 in the WriteFileTool and ReadFileTool components. These tools fail to properly restrict file path access, allowing authenticated users to perform path traversal attacks (CWE-22). This improper limitation enables attackers to read from and write to arbitrary locations on the file system beyond intended directories. Exploitation of this vulnerability can lead to remote command execution, as attackers can manipulate files critical to system operation or inject malicious payloads. The CVSS v3.1 base score is 10.0, reflecting the vulnerability's ease of exploitation over the network (AV:N), low attack complexity (AC:L), requirement for privileges (PR:L), no user interaction (UI:N), and a scope change (S:C) that affects confidentiality, integrity, and availability at a high level (C:H/I:H/A:H). Although no known exploits are currently reported in the wild, the critical nature and potential impact necessitate urgent remediation. Flowise 3.0.8 includes fixes that properly constrain file path access, mitigating the vulnerability. Organizations leveraging Flowise for AI workflow development must prioritize upgrading to the patched version and review access controls to prevent unauthorized exploitation.

For European organizations, the impact of CVE-2025-61913 is significant. The ability for an authenticated attacker to read and write arbitrary files can lead to exposure of sensitive data, including intellectual property and personal data protected under GDPR. Remote command execution capability further elevates the risk, potentially allowing attackers to take full control of affected systems, disrupt AI workflow operations, or pivot to other network assets. This can result in operational downtime, reputational damage, regulatory penalties, and financial losses. Organizations in sectors heavily reliant on AI and data processing, such as finance, healthcare, and manufacturing, face heightened risks. Additionally, the criticality of this vulnerability means that even limited access credentials can be leveraged for severe compromise, emphasizing the need for stringent access management and monitoring.

1. Immediate upgrade to Flowise version 3.0.8 or later, which contains the patch restricting file path access. 2. Implement strict authentication and authorization controls to limit access to Flowise tools only to trusted users. 3. Employ application-level input validation and sanitization to detect and block path traversal attempts. 4. Monitor file system access logs for unusual read/write activity, especially outside expected directories. 5. Use network segmentation to isolate Flowise instances from critical infrastructure to limit lateral movement. 6. Conduct regular security audits and penetration testing focusing on AI workflow tools. 7. Apply the principle of least privilege to service accounts and users interacting with Flowise. 8. Maintain up-to-date backups to enable recovery in case of exploitation. 9. Educate developers and administrators on secure configuration and patch management for AI tools. 10. Consider deploying runtime application self-protection (RASP) or endpoint detection and response (EDR) solutions to detect exploitation attempts in real time.