Langflow users should be aware of a recently disclosed critical security vulnerability. This flaw, identified as CVE-2025-3248, can lead to remote code injection and potentially full system compromise. This article provides a detailed analysis of the vulnerability, its impact, and, most importantly, how to remediate it. Security professionals in DevSecOps, application security, product security, vulnerability management, penetration testing, and security operations should pay close attention to the information presented here to safeguard their Langflow deployments.
Langflow is a framework designed to build conversational AI applications through a drag-and-drop interface. It allows users to create complex language models and chatbots without extensive coding knowledge, making it a valuable tool for developers and non-developers alike. However, like any software, Langflow is susceptible to vulnerabilities, and CVE-2025-3248 highlights the importance of keeping applications updated and secure.
CVE ID: CVE-2025-3248
Description: A critical code injection vulnerability exists in Langflow versions prior to 1.3.0, allowing remote, unauthenticated code injection through the /api/v1/validate/code
endpoint.
CVSS Score: 9.8 (Critical)
CVSS Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
This vulnerability arises from a lack of proper authentication checks on the /api/v1/validate/code
endpoint. This allows an attacker to inject and execute arbitrary code on the server hosting the Langflow instance without needing any credentials or prior authorization. The endpoint, intended for code validation, doesn't adequately verify the source or safety of the code it processes, leading to the code injection flaw.
The impact of this vulnerability is exceptionally severe. Successful exploitation can lead to:
Remote Code Execution: Attackers can execute arbitrary code on the Langflow server.
Full System Compromise: Gaining complete control of the affected Langflow instance is possible.
Compromised System Integrity, Confidentiality, and Availability: Attackers can modify system files, access sensitive data, and disrupt services.
Bypassing Authentication Mechanisms: The vulnerability itself bypasses authentication, and further exploitation could compromise other authentication mechanisms.
The unauthenticated nature of this flaw combined with the potential for complete system takeover makes it a high-priority security concern. Organizations using vulnerable versions of Langflow are at significant risk of data breaches, service disruptions, and other malicious activities. Immediate remediation is critical to mitigate these risks.
Product | Version(s) Affected |
---|---|
Langflow | Prior to 1.3.0 |
Exemptions | None Specified |
All versions of Langflow prior to 1.3.0 are vulnerable. There are no explicitly listed non-affected products or exemptions in the provided information. This suggests that if you are running Langflow, it is crucial to determine your version and upgrade if necessary.
Check Langflow Version: Log into your Langflow instance and locate the version number. This information is typically found in the "About" section or the application's settings.
Verify the Version: Compare the version number against the "Products Affected" table above. If your Langflow instance is running a version prior to 1.3.0, it is vulnerable.
Network Analysis: Monitor network traffic for suspicious POST requests to the /api/v1/validate/code
endpoint. Unexpected or malformed requests could indicate an attempted exploit.
Log Analysis: Examine server logs for unusual code execution attempts or errors related to the /api/v1/validate/code
endpoint.
The primary remediation strategy is to upgrade to Langflow version 1.3.0 or later. This version includes a patch that addresses the code injection vulnerability.
Upgrade Langflow: Upgrade to version 1.3.0 or later. Refer to the official Langflow documentation for detailed upgrade instructions.
Restrict Network Access: Implement network segmentation and access control lists (ACLs) to restrict network access to the /api/v1/validate/code
endpoint. Only allow access from trusted sources.
Web Application Firewall (WAF): Deploy a WAF and configure rules to block potential exploit attempts targeting the /api/v1/validate/code
endpoint. Look for WAF rules specifically designed to prevent code injection attacks.
Monitor for Suspicious Activity: Implement robust monitoring and logging to detect suspicious code execution attempts and unusual activity on the Langflow server. Set up alerts for any anomalies.
If upgrading is not immediately possible, consider the following temporary mitigation measures:
While no specific workarounds are provided, carefully examine any code validation processes you may have implemented and strengthen input validation and sanitization.
Continuously monitor official Langflow channels for any further security updates or patches related to this vulnerability.
By taking these steps, security professionals can effectively mitigate the risk posed by CVE-2025-3248 and protect their Langflow deployments from potential exploitation.
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Arun KL is a cybersecurity professional with 15+ years of experience in IT infrastructure, cloud security, vulnerability management, Penetration Testing, security operations, and incident response. He is adept at designing and implementing robust security solutions to safeguard systems and data. Arun holds multiple industry certifications including CCNA, CCNA Security, RHCE, CEH, and AWS Security.
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