CVE-2026-0769 in Langflow
Summary
by MITRE • 01/23/2026
Langflow eval_custom_component_code Eval Injection Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Langflow. Authentication is not required to exploit this vulnerability.
The specific flaw exists within the implementation of eval_custom_component_code function. The issue results from the lack of proper validation of a user-supplied string before using it to execute python code. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-26972.
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Analysis
by VulDB Data Team • 01/25/2026
The vulnerability identified as CVE-2026-0769 represents a critical remote code execution flaw within the Langflow platform that fundamentally compromises system security. This vulnerability specifically affects the eval_custom_component_code function implementation, creating a dangerous pathway for malicious actors to execute arbitrary code on affected systems. The flaw stems from insufficient input validation mechanisms that fail to properly sanitize user-supplied strings before they are processed through Python's eval function. This design oversight allows attackers to inject malicious code that gets executed within the context of the current process, potentially leading to complete system compromise. The vulnerability's severity is amplified by the fact that no authentication is required to exploit it, making it accessible to any remote attacker without prior credentials or privileged access.
The technical exploitation of this vulnerability aligns with common attack patterns documented in the ATT&CK framework under the technique of "Command and Scripting Interpreter" (T1059) and specifically targets the "Python" sub-technique (T1059.006). The underlying weakness corresponds to CWE-94, which describes "Improper Control of Generation of Code ('Code Injection')" and represents a classic injection vulnerability that has been consistently exploited across various software platforms. The vulnerability exists because the application fails to implement proper input sanitization or code validation before executing user-provided strings through the eval function, which is inherently dangerous when dealing with untrusted input. This flaw creates an environment where attacker-controlled input can be directly interpreted and executed as Python code, bypassing normal security controls and access restrictions that would typically protect the system.
The operational impact of this vulnerability extends far beyond simple code execution, potentially allowing attackers to establish persistent access, escalate privileges, or extract sensitive data from affected systems. Since the execution occurs within the context of the current process, attackers can leverage this to gain access to system resources, modify application behavior, or even pivot to other systems within the network. The lack of authentication requirements means that this vulnerability can be exploited at scale without the need for additional reconnaissance or credential harvesting activities. Organizations running affected versions of Langflow face significant risk of data breaches, system compromise, and potential regulatory violations, as the vulnerability provides attackers with direct control over the application's execution environment and potentially the underlying infrastructure.
Mitigation strategies for CVE-2026-0769 should prioritize immediate remediation through vendor-provided patches or updates that address the input validation flaw in the eval_custom_component_code function. Organizations should implement network segmentation to limit access to affected systems and monitor for suspicious code execution patterns that might indicate exploitation attempts. The implementation of proper input validation mechanisms, including the use of allowlists for acceptable code patterns and the complete removal of eval functions from the application where possible, provides long-term protection against similar vulnerabilities. Additionally, organizations should consider implementing application whitelisting policies and runtime application protection measures to detect and prevent unauthorized code execution attempts. Security teams should also conduct thorough vulnerability assessments to identify any other instances where similar injection vulnerabilities might exist within the application's codebase, ensuring comprehensive protection against related attack vectors.