A critical vulnerability, tracked as CVE-2026-4387, has been disclosed in StrongDM, exposing organizations to authentication token theft and session hijacking. Discovered by SpecterOps researcher Hope Walker, the flaw affects StrongDM Desktop and CLI versions released before the vendor’s security update. Because StrongDM is widely used to manage access to databases, servers, Kubernetes clusters, and cloud infrastructure, exploitation could grant attackers unauthorized access to sensitive enterprise resources. The issue highlights the risks associated with insecurely stored authentication artifacts. The vulnerability originates from StrongDM’s handling of authentication data after login. Researchers found that a local file named state.kv, stored within the user’s StrongDM directory, contained a JSON Web Token (JWT) along with a public and private key pair in plaintext. If an attacker obtains basic access to a system, the file’s contents can be extracted and reused on another device. When the StrongDM client loads the imported data, it treats the attacker as the authenticated user without requiring credentials, multifactor authentication, or identity-provider verification. Researchers also identified a locally accessible endpoint that could expose active JWTs during an active session, making token collection easier. Combined with the exposed key pair, the weakness enabled attackers to replay valid sessions and access protected resources. The risk was amplified by the lack of device binding for authentication tokens, allowing stolen session data to function across different hosts. Researchers showed that even when protections appeared to clear session information, the attack could still succeed by replacing the state file after the application started. StrongDM addressed the issue in Desktop version 23.74.0 and CLI version 53.77.0 by moving sensitive authentication data to secure storage technologies such as Windows DPAPI and macOS Keychain. Organizations should deploy the updates immediately, strengthen endpoint protections, limit local file access, and monitor authentication activity for anomalies. The vulnerability demonstrates how insecure storage of session data can create a high-impact attack path despite existing access-control measures.
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