CVE-2025-62314 in AION
Summary
by MITRE • 08/13/2026
HCL AION is affected by a vulnerability where certain endpoints lack sufficient anti-automation controls. Automated or scripted requests may be submitted without adequate rate limiting or challenge mechanisms, potentially resulting in unintended behavior or security impact under certain conditions.
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Analysis
by VulDB Data Team • 08/13/2026
The vulnerability in HCL AION represents a critical weakness in access control and anti-automation measures that undermines the system's security posture. This flaw manifests as insufficient protection mechanisms at specific endpoints, creating opportunities for malicious actors to exploit automated request patterns without proper rate limiting or challenge responses. The absence of robust anti-automation controls allows attackers to submit numerous scripted requests that could overwhelm system resources or bypass normal authentication flows, potentially leading to unauthorized access or service disruption.
From a technical perspective, this vulnerability aligns with CWE-307, which addresses improper restriction of excessive authenticated or unauthenticated requests to a system. The lack of adequate rate limiting mechanisms means that automated tools can rapidly submit requests without triggering protective measures that would normally detect and block suspicious activity patterns. This weakness creates an environment where brute force attacks, credential stuffing, or other automated exploitation techniques can succeed without encountering the typical barriers that would prevent such activities.
The operational impact of this vulnerability extends beyond simple resource exhaustion to encompass potential data compromise and service availability issues. Attackers could leverage this weakness to perform credential spraying across multiple accounts, attempt to bypass authentication mechanisms through automated testing, or conduct denial-of-service attacks by overwhelming specific endpoints with automated traffic. The security implications are particularly concerning given that many systems rely on the assumption that automated requests will be properly challenged or limited, making this a significant departure from expected defensive behaviors.
Organizations should implement comprehensive rate limiting strategies at all exposed endpoints to prevent abuse of automated access patterns. This includes deploying adaptive rate limiting mechanisms that can detect and respond to unusual traffic patterns, implementing challenge-response mechanisms such as CAPTCHA systems for suspicious requests, and establishing monitoring protocols to detect anomalous usage patterns. The solution should incorporate principles from the ATT&CK framework's credential access and privilege escalation tactics, ensuring that automated attack vectors are properly mitigated through layered defensive measures.
Security controls should include time-based rate limiting with exponential backoff mechanisms, behavioral analysis to identify automated request patterns, and integration with existing security information and event management systems for comprehensive monitoring. The implementation must consider both the legitimate needs of automated systems and the protection requirements against malicious actors. Regular security testing should validate that anti-automation controls are properly functioning and that endpoint access remains appropriately restricted against automated threats.
Organizations deploying HCL AION should conduct thorough risk assessments to identify all endpoints that may be vulnerable, implement network-level protections to limit access to critical systems, and establish incident response procedures for detecting and responding to abuse of these automated access patterns. The remediation approach must balance security requirements with system usability while ensuring compliance with industry standards such as those outlined in NIST SP 800-53 for access control and system security planning.