CVE-2025-34291 Scanner

Langflow AI is a platform that enables users to design and conduct agent workflows using various artificial intelligence components. Developed by Langflow AI, it is widely used by developers and AI researchers for creating, testing, and deploying AI workflows. The platform offers a user-friendly interface and supports integration with various AI models and tools. It is often utilized in educational settings, research labs, and by AI enthusiasts aiming to simplify the design of AI-driven processes. Langflow AI supports collaboration and offers cloud-based deployment options, making it a significant tool in the AI workflow management sector.

The CORS Misconfiguration vulnerability in Langflow AI permits any origin to make credentialed requests. This vulnerability undermines the security model by allowing cross-origin token theft when SameSite=None cookies are used. As a result, attackers can exploit this flaw to initiate remote code execution on the server. It is critical because it disrupts the system's ability to properly validate the origin of requests, making sensitive data susceptible to unauthorized access. Detecting and addressing this vulnerability is crucial to maintaining the secure operation of AI workflows.

Technical details of the CORS Misconfiguration vulnerability reveal that the endpoint /api/v1/validate/code is vulnerable. The misconfiguration allows the Access-Control-Allow-Origin' header to respond with any origin, combined with enabled credentials through the Access-Control-Allow-Credentials' header. This combination facilitates unauthorized access to resources by attacker-controlled domains. The security issue is further exacerbated by handling SameSite=None cookies, which should be configured to restrict cross-origin requests.

When exploited, the CORS Misconfiguration vulnerability can lead to severe consequences, such as the theft of authentication tokens. Attackers obtaining these tokens can assume identities and privileges of legitimate users, potentially leading to unauthorized actions and further vulnerabilities, including remote code execution. This can result in data breaches, unauthorized system access, and potentially complete system compromise. Protecting against such exploitation is essential for safeguarding the integrity and confidentiality of systems handling sensitive and critical data.

REFERENCES

• https://www.obsidiansecurity.com/blog/cve-2025-34291-critical-account-takeover-and-rce-vulnerability-in-the-langflow-ai-agent-workflow-platform
• https://nvd.nist.gov/vuln/detail/CVE-2025-34291
• https://github.com/langflow-ai/langflow