Langflow Ai
Monthly
An unauthenticated shell injection vulnerability exists in Langflow's GitHub Actions CI/CD workflows, allowing attackers to execute arbitrary commands by crafting malicious branch names or pull request titles. Langflow versions prior to 1.9.0 are affected, specifically the langflow-ai:langflow product. A proof-of-concept exploit exists demonstrating secret exfiltration via crafted branch names, enabling attackers to steal GITHUB_TOKEN credentials and potentially compromise the supply chain without any authentication required.
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.
Langflow's '/api/v1/files/images/{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.
An unauthenticated shell injection vulnerability exists in Langflow's GitHub Actions CI/CD workflows, allowing attackers to execute arbitrary commands by crafting malicious branch names or pull request titles. Langflow versions prior to 1.9.0 are affected, specifically the langflow-ai:langflow product. A proof-of-concept exploit exists demonstrating secret exfiltration via crafted branch names, enabling attackers to steal GITHUB_TOKEN credentials and potentially compromise the supply chain without any authentication required.
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.
Langflow's '/api/v1/files/images/{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.