CVE-2026-25533 is a vulnerability classified under CWE-835 (Loop with Unreachable Exit Condition) found in agentfront's enclave, a secure JavaScript sandbox designed for safe execution of AI agent code. The vulnerability exists in versions prior to 2.10.1 due to multiple shortcomings in the sandbox's security layers. Specifically, the Abstract Syntax Tree (AST) sanitization can be bypassed using dynamic property accesses, allowing malicious code to evade detection. Additionally, the hardening of error objects does not fully address the peculiar behavior of the Node.js vm module, and attempts to prevent function constructor access can be circumvented by leveraging host object references. These combined weaknesses enable an attacker to craft JavaScript code that causes the enclave to enter an infinite loop with no reachable exit condition. This infinite loop can lead to resource exhaustion and denial of service within the sandbox environment. The vulnerability does not require authentication or user interaction but does require local access to the environment (AV:L). The scope is high, meaning the impact extends beyond the vulnerable component, potentially affecting the host system or dependent services. Although no known exploits have been reported in the wild, the vulnerability poses a significant risk to environments relying on enclave for secure AI code execution. The issue is resolved in enclave version 2.10.1, which improves AST sanitization, error object hardening, and function constructor access controls to prevent bypasses.

For European organizations utilizing agentfront's enclave sandbox for AI agent code execution, this vulnerability can lead to denial of service conditions by causing infinite loops within the sandboxed environment. This may disrupt AI-driven workflows, degrade service availability, and potentially impact dependent applications or services. Since the vulnerability affects confidentiality, integrity, and availability with a high scope, there is a risk that compromised sandbox environments could be leveraged to affect broader system components or data. Organizations in sectors with heavy AI adoption—such as finance, manufacturing, and research—may experience operational interruptions. The requirement for local access somewhat limits remote exploitation but insider threats or compromised internal systems could exploit this flaw. The lack of known exploits reduces immediate risk but does not eliminate the threat, especially as attackers may develop exploits over time. Failure to patch could also affect compliance with European cybersecurity regulations that mandate timely vulnerability management.

1. Upgrade all instances of agentfront enclave to version 2.10.1 or later immediately to apply the security fixes addressing AST sanitization, error object hardening, and function constructor access controls. 2. Restrict local access to systems running enclave to trusted personnel only, minimizing the risk of local exploitation. 3. Implement monitoring and alerting for unusual CPU or memory usage patterns indicative of infinite loops or resource exhaustion within sandbox environments. 4. Conduct code reviews and sandbox usage audits to ensure that only trusted and verified AI agent code is executed within enclave. 5. Employ runtime protections such as execution time limits or watchdog timers to detect and terminate infinite loops proactively. 6. Integrate enclave usage within a broader defense-in-depth strategy, including network segmentation and least privilege principles, to contain potential impacts. 7. Stay informed on vendor advisories and emerging exploit reports related to this vulnerability to adjust defenses accordingly.