Langflow

Code injection via the eval function in Langflow's LambdaFilterComponent allows remote authenticated attackers to execute arbitrary code with low-to-medium integrity and confidentiality impact. The vulnerability affects Langflow up to version 1.8.4, requires user login (PR:L), and has publicly available exploit code. The vendor did not respond to early disclosure notification.

Stored cross-site scripting (XSS) in langflow-ai langflow up to version 1.8.3 allows authenticated users to inject malicious scripts into chat messages via the edit-message component, which are then executed in the browsers of other users viewing the manipulated message. The vulnerability requires user interaction (recipient must view the crafted message) and authenticated access, limiting scope to users within a langflow instance, but publicly available exploit code exists and the vendor has not responded to early disclosure.

Code injection in langflow-ai langflow up to version 1.8.3 allows authenticated remote attackers to execute arbitrary code via manipulation of the X-Forwarded-For HTTP header in the Model Context Protocol Configuration API endpoint. The vulnerability affects the get_client_ip function in src/backend/base/langflow/api/v1/mcp_projects.py and has publicly available exploit code; the vendor did not respond to early disclosure notification.

Langflow up to version 1.8.3 stores authentication settings in cleartext on disk when processing project creation requests, allowing authenticated remote attackers to read sensitive credentials. The vulnerability exists in the create_project/encrypt_auth_settings function within the Project Creation Endpoint, where the auth_settings parameter bypasses encryption despite the function's intent. Publicly available exploit code exists, and the vendor has not released a patch or responded to disclosure notices.

Langflow up to version 1.8.3 stores API credentials without encryption in the remove_api_keys and has_api_terms functions, allowing remote attackers with high privileges to disclose sensitive credentials through the Flow Using API component. The vulnerability has publicly available exploit code, though real-world exploitation likelihood is constrained by the requirement for high-privilege access; vendor has not responded to disclosure.

Unrestricted file upload in Langflow (langflow-ai) versions up to 1.1.0 allows remote unauthenticated attackers to upload arbitrary files via the create_upload_file API endpoint, potentially leading to remote code execution, data manipulation, and service disruption. Publicly available exploit code exists (CVSS:3.1 E:P) with GIST-hosted POC, elevating immediate risk. Vendor unresponsive to disclosure at time of publication.

{flow_id}/{file_name}' endpoint serves user-uploaded SVG files with 'image/svg+xml' content type without sanitization, enabling embedded JavaScript execution in victim browsers. Authenticated attackers with low privileges can upload crafted SVGs that execute in other users' contexts, exfiltrating JWT access and refresh tokens from cookies. EPSS probability is low (0.07%, 22nd percentile) with no active exploitation confirmed (SSVC: none), but the attack is straightforward for authenticated users with file upload permissions.

Log router endpoints in an authenticated application expose full application log buffers to any authenticated user without privilege-level authorization checks, allowing credential harvesting, sensitive data exfiltration, and reconnaissance. The vulnerability affects the '/logs' and '/logs-stream' endpoints which enforce only basic authentication ('get_current_active_user') rather than administrative privilege requirements, enabling authenticated attackers with low privileges to read complete application logs containing sensitive information. No public exploit code or active exploitation has been identified at the time of analysis, though the relatively low attack complexity (AC:L) and straightforward authentication bypass mechanism present moderate real-world risk.

{flow_id}/{file_name}' endpoint lacks authentication and authorization enforcement, permitting unauthenticated users to download arbitrary images associated with any flow by supplying or enumerating flow IDs and file names. This authentication bypass affects all versions of Langflow AI's langflow product and enables unauthorized disclosure of potentially sensitive image assets. No public exploit code or active exploitation has been confirmed at the time of analysis.

Code injection in Langflow CSV Agent node before 1.8.0. The node hardcodes allow_dangerous_code=True, enabling arbitrary code execution through crafted CSV files. EPSS 0.41% with PoC and patch available.

Remote code execution in Langflow's disk cache service allows authenticated attackers to execute arbitrary code by exploiting improper deserialization of untrusted data. The vulnerability affects Langflow installations and requires valid authentication credentials to exploit, enabling attackers to gain code execution within the service account context. No patch is currently available.

Langflow's PythonFunction component allows authenticated attackers with user interaction to inject and execute arbitrary Python code within application workflows, achieving remote code execution. The vulnerability affects Langflow deployments using Python-based AI/ML components, with exploitation feasibility depending on specific product configurations. No patch is currently available.

Langflow has a third RCE vulnerability via exec_globals (EPSS 10.0%) allowing inclusion of untrusted code that executes in the application's global scope.

Langflow has an eval injection in eval_custom_component_code (EPSS 2.0%) enabling remote code execution through crafted custom component definitions.

Langflow has a code injection vulnerability in the code component (EPSS 2.6%) enabling remote code execution through the visual AI workflow builder.

Langflow before 1.7.0.dev45 exposes multiple API endpoints without authentication, allowing unauthenticated access to user conversations, transaction data, and message deletion. Critical for AI workflow platforms that handle sensitive prompt data.

Langflow is a tool for building and deploying AI-powered agents and workflows. Rated high severity (CVSS 8.8), this vulnerability is remotely exploitable, low attack complexity. This Improper Privilege Management vulnerability could allow attackers to escalate privileges to gain unauthorized elevated access.

Langflow before 1.3.0 allows unauthenticated remote code injection through the /api/v1/validate/code endpoint, enabling attackers to execute arbitrary Python code on the server without authentication.