CVE-2026-93678 in Langflow OSS
Summary
by MITRE • 10/07/2026
IBM Langflow OSS 1.0.0 through 1.12.2 could allow a remote authenticated attacker to obtain sensitive information due to improper authorization.
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Analysis
by VulDB Data Team • 10/07/2026
The vulnerability identified in IBM Langflow versions 1.0.0 through 1.12.2 represents a critical failure in access control mechanisms, specifically categorized under CWE-862: Missing Authorization. This flaw allows remote authenticated attackers to bypass intended security restrictions and access sensitive information that should be restricted to authorized users or administrative roles. The core of the issue lies in the application's inability to properly verify whether an authenticated user has the necessary permissions to perform specific actions or view particular data resources. While the attacker is required to possess valid credentials, the system fails to enforce role-based or attribute-based access controls on certain endpoints or API calls, leading to a privilege escalation scenario where lower-privileged users can interact with high-sensitivity functions as if they were administrators.
From an operational perspective, this improper authorization vulnerability poses significant risks to data confidentiality and integrity. An attacker who successfully exploits this flaw could extract sensitive configuration details, user credentials, proprietary logic flows, or other confidential assets stored within the Langflow environment. Since IBM Langflow is often used for developing and managing large language model applications, the exposed information might include API keys, database connection strings, or internal system architectures that are critical to the organization's security posture. The impact extends beyond simple data leakage; it can facilitate further attacks such as credential stuffing, lateral movement within a network, or the manipulation of application logic by altering unauthorized configurations, thereby compromising the overall availability and trustworthiness of the deployed AI workflows.
This type of vulnerability aligns with several techniques documented in the MITRE ATT&CK framework, particularly T1078: Valid Accounts, where attackers leverage legitimate credentials to gain access, combined with aspects of T1530: Data from Local System or T1560: Archive Collected Data if the attacker proceeds to exfiltrate the sensitive information. The lack of proper authorization checks means that once an account is compromised or created by a low-privilege user, there are insufficient barriers preventing them from accessing resources outside their designated scope. This highlights a gap in the implementation of security principles such as least privilege and separation of duties within the application's backend logic.
To mitigate this vulnerability, organizations running IBM Langflow versions 1.0.0 through 1.12.2 should immediately upgrade to version 1.13.0 or later, where these authorization checks have been corrected. In addition to patching, it is advisable to implement robust access control policies that enforce strict role-based access controls on all API endpoints and user interfaces. Security teams should also conduct regular audits of authentication and authorization logic, ensuring that every request is validated against the user's permissions before processing. Utilizing automated security testing tools focused on broken object level authorization can help identify similar gaps in other applications within the ecosystem. Furthermore, monitoring logs for unusual access patterns by authenticated users who do not typically interact with sensitive resources can provide early detection of exploitation attempts while patches are being deployed.