IBM Langflow OSS 1.0.0 through 1.11.1 is vulnerable to server-side request forgery (SSRF). This may allow an authenticated attacker to send unauthorized requests from the system, potentially leading to network enumeration or facilitating other attacks.
IBM Langflow OSS 1.0.0 through 1.11.1 could allow a remote authenticated attacker to execute arbitrary code due to improper control of generation of code.
IBM Langflow OSS 1.0.0 through 1.11.1 could allow a remote attacker to execute arbitrary flows and access sensitive information due to improper authentication.
IBM Langflow OSS 1.0.0 through 1.10.0 could allow a remote attacker to overwrite administrator email information and abuse the server as an outbound relay due to missing authentication for the registration endpoint.
IBM Langflow OSS 1.0.0 through 1.9.6 could allow a remote attacker to obtain unauthorized access to user accounts due to improper restriction of excessive authentication attempts.
IBM Langflow OSS 1.0.0 through 1.10.3 could allow an authenticated attacker to execute unintended code during Agentic Assistant validation due to improper handling of LLM‑generated components. The application executes model‑generated Python code in the backend during validation prior to user approval, which may allow an attacker to trigger side effects such as outbound network access, file system interaction, or data exfiltration with the privileges of the Langflow backend process.
IBM Langflow OSS 1.0.0 through 1.10.3 could allow an authenticated attacker to execute arbitrary code due to a cryptographic weakness in the custom component validation mechanism. When the optional hardening mode that restricts execution to trusted component templates is enabled, the application validates component code using a truncated SHA‑256 hash. Because the hash comparison relies on only a portion of the digest, an attacker can craft malicious component code that collides with a trusted template hash and bypasses validation. Successful exploitation allows the attacker to introduce and execute unauthorized Python code within the Langflow process, defeating the intended security control and potentially leading to full compromise of the affected instance.
IBM Langflow OSS 1.0.0 through 1.10.3 contain an authorization bypass vulnerability in the MemoryComponent that allows authenticated users to access chat history of other users via session_id collision. The MemoryComponent.retrieve_messages and store_message methods filter on session_id without validating flow_id or user_id ownership, enabling cross-user information disclosure through multiple authenticated API endpoints including /api/v1/run/*, /api/v1/responses, and /api/v2/workflow/*. This vulnerability only affects multi-user deployments with LANGFLOW_AUTO_LOGIN=False.
IBM Langflow OSS 1.0.0 through 1.10.3 could allow a remote attacker to inject arbitrary code on the system, due to the improper control of user input code.