CVE-2026-5027 Scanner

The Langflow software is widely utilized within AI communities for deploying and managing AI models in production environments. It is used by developers and data scientists to streamline workflow integrations and enable predictive modeling. Langflow is popular for its capacity to facilitate machine learning operations and efficiently manage data pipelines. Deployed in both academic and commercial settings, it aids in automating AI processes and enhancing deployment capabilities. Additionally, it offers a rich set of APIs for seamless integration with other systems. The platform is designed to enhance the user experience for both novice and expert AI practitioners.

The vulnerability identified in Langflow is a Path Traversal vulnerability, which affects the application's file upload functionality. This security issue arises from the improper handling of directory paths, allowing potential attackers to target arbitrary filesystem locations. By exploiting this flaw, an attacker could potentially gain unauthorized access to sensitive files or execute unauthorized commands on the server. This kind of vulnerability poses a high risk as it can lead to system compromise and data breaches. The exploitation of Path Traversal vulnerabilities typically requires knowledge of the target file system or application architecture. It is recognized as a critical security issue in web applications involving file handling operations.

The specific technical flaw involves the unsanitized 'filename' parameter within the 'POST /api/v2/files' multipart form data endpoint. Attackers can exploit this through crafted requests to manipulate file paths and write files to unintended locations. The endpoint in question fails to enforce security checks on the file paths provided, resulting in a lack of control over file destinations. This vulnerability is exacerbated by the ability to exploit it remotely without prior authentication. Additionally, the server's response to crafted requests provides critical feedback that aids attackers in refining their exploitation strategy. The presence of this vulnerability highlights the necessity for stringent input validation within the application.

If exploited, this vulnerability could have several adverse effects. Unauthorized file writes might lead to arbitrary code execution if an attacker overwrites executable scripts. System integrity and confidentiality could be compromised, resulting in unauthorized data access and manipulation. Moreover, a compromised system could be used as a pivoting point for further attacks within an organizational network. Data tampering could be used to inject malicious scripts, impacting application functionality and user trust. Such incidents could incur financial losses and damage to the brand reputation of organizations using Langflow. Businesses might also face compliance issues if user data is exposed.

REFERENCES

• https://github.com/langflow-ai/langflow/pull/12227
• https://github.com/0xBlackash/CVE-2026-5027
• https://github.com/langflow-ai/langflow/security/advisories/GHSA-g2j9-7rj2-gm6c