Langflow OSS is an open-source software platform often used by developers to manage workflows and automate tasks. It is popular among IT professionals and businesses that seek to streamline operations and increase efficiency. The system provides features for managing data, credentials, and workflows with an intuitive interface. Langflow OSS is designed for customization, allowing extensions and integrations with various tools and services. It's especially utilized in environments that demand flexibility and control over task coordination. Users appreciate its ability to integrate with numerous data platforms and its comprehensive support for task automation.
The Remote Code Execution vulnerability in Langflow OSS, identified as CVE-2026-93674, allows unauthorized actors to execute arbitrary OS commands. This critical vulnerability can lead to a full system compromise, where attackers may take control over workflows and sensitive data. It is triggered by crafted POST requests to specific endpoints that process user-supplied import statements without proper validation. The vulnerability affects versions 1.0.0 through 1.12.2 of Langflow OSS, introducing risks of unauthorized access and manipulation. To exploit this vulnerability, attackers do not need authentication, increasing the severity of potential impacts.
The technical details of the vulnerability involve improper handling of import statements via the POST /api/v1/validate/code endpoint. Attackers leverage the importlib.import_module() function to execute top-level code directly. Moreover, combined with default configuration settings, it enables the creation of a superuser JWT via the GET /api/v1/auto_login endpoint without credentials. Attackers can also inject arbitrary Python modules into the environment through POST /api/v1/custom_component. The vulnerability arises from insufficient security checks and the misuse of code execution functions to validate syntax, which was rectified in version 1.12.3 by replacing importlib.import_module() with importlib.util.find_spec().
Exploitation of this vulnerability can lead to complete system compromise, giving attackers high-level access to execute arbitrary system commands. This could result in unauthorized access to stored credentials, manipulation of global variables, and control over data accessible via the Langflow service. Attackers could disrupt operational workflows, steal sensitive information, and potentially plant persistent threats within the system. The presence of an exploitable RCE could also facilitate lateral movement within a network, posing broader risks to connected systems and data integrity.
REFERENCES
- Upgrade to Langflow OSS version 1.12.3 or later to patch the vulnerability.
- Set LANGFLOW_AUTO_LOGIN=false and use strong credentials for the superuser account.
- Restrict network access to the Langflow instance to minimize exposure.
- Regularly monitor and audit access logs for suspicious activities.
- Implement network-level controls to reduce unauthorized access to the affected endpoints.
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