CVE-2026-7700
MediumCVSS 6.3Exploitation Probability (EPSS)
Low risk22th percentile - higher than 22% of all known CVEs
Summary
A weakness has been identified in langflow-ai langflow up to version 1.10.2. The eval function in the file src/lfx/src/lfx/components/llm_operations/lambda_filter.py of the LambdaFilterComponent is affected by code injection. The attack may be performed remotely, and the exploit has been made public.
Risk Assessment
A remote attacker can execute arbitrary code in the context of the application, potentially compromising confidentiality, integrity, and availability.
Recommendation
Update langflow to the latest available version if it contains a fix. In the meantime, restrict access to the application and monitor its logs.
Other vulnerabilities in langflow
See all- CVE-2026-34046High
Langflow prior to version 1.5.1 had a security vulnerability that allowed authenticated users to access other users' flows without ownership checks. The issue stemmed from the lack of proper query filtering based on the `AUTO_LOGIN` setting.
- CVE-2026-105740Critical
Langflow before 1.9.0 allows any authenticated user to achieve Remote Code Execution (RCE) on the server by adding an MCP server with the "Stdio" transport. The user-supplied command field is passed directly to bash -c "exec {command}" with zero validation, no allowlisting, and no sandboxing. The command executes immediately when the server list is fetched. Additionally, the env field allows arbitrary environment variable injection (e.g., LD_PRELOAD, PATH override).
- CVE-2026-105697Critical
Langflow before 1.10.3 launches whatever command / args a user put in an MCP server configuration, with no allowlist and (before 1.10.3) wrapped in bash -c "exec {command} ...". Any user able to reach the MCP server settings or to build a flow with the MCP Tools component could add a "server" whose command is an arbitrary OS command. The command runs on the Langflow host as the Langflow process user as soon as Langflow tries to connect to the server. With the default LANGFLOW_AUTO_LOGIN=true, GET /api/v1/auto_login hands out a token without credentials, so on an exposed instance running the default configuration this is reachable without an account. With AUTO_LOGIN disabled, any authenticated (non-admin) user can exploit it.
- CVE-2026-51886Critical
Code Injection vulnerability in langflow up to 1.9.3. An authenticated attacker can execute arbitrary Python code on the server by submitting malicious code to the /api/v1/validate/code endpoint, which executes code without sandboxing.
- CVE-2026-55450Critical
Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to version 1.9.1, unauthenticated users can upload unlimited amounts of data to the server, leading to space exhaustion. Additionally, the server response reveals the absolute path of the uploaded file, which constitutes an information leak.
- CVE-2026-55255HighActively exploited
In Langflow prior to 1.9.1, an IDOR vulnerability in the /api/v1/responses endpoint allows an authenticated attacker to execute any flow belonging to another user by specifying the victim's flow ID in the request.
- CVE-2026-42048Critical
Langflow, a tool for building and deploying AI agents, is vulnerable to Path Traversal in the Knowledge Bases API (DELETE /api/v1/knowledge_bases) prior to version 1.9.0. An attacker can exploit this flaw to delete arbitrary directories on the server.
- CVE-2026-33017CriticalActively exploited
Langflow is a tool for building and deploying AI-powered agents and workflows. In versions prior to 1.9.0, the POST /api/v1/build_public_tmp/{flow_id}/flow endpoint allowed building public flows without requiring authentication, leading to the possibility of remote code execution by unauthorized users.
- CVE-2026-0770CriticalActively exploited
A vulnerability in Langflow allows remote code execution via the exec_globals parameter in the validate endpoint. An unauthenticated attacker can inject malicious code from an untrusted source.
- CVE-2026-21445Critical
Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to version 1.7.0.dev45, multiple critical API endpoints in Langflow are missing authentication controls. The issue allows any unauthenticated user to access sensitive user conversation data, transaction histories, and perform destructive operations including message deletion. This affects endpoints handling personal data and system operations that should require proper authorization. Version 1.7.0.dev45 contains a patch.
Original NVD description (English source)
A weakness has been identified in langflow-ai langflow up to 1.10.2. This affects the function eval of the file src/lfx/src/lfx/components/llm_operations/lambda_filter.py of the component LambdaFilterComponent. Executing a manipulation can lead to code injection. The attack may be performed from remote. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.
Vulnerability data from NVD (NIST) · CISA KEV · EPSS