CVE-2025-62314

Deferred Deferred - Pending Action

Insufficient Anti-Automation Controls in HCL AION

Publication date: 2026-08-13

Last updated on: 2026-08-28

Assigner: HCL Software

Description

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.

CVSS Scores

EPSS Scores

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Meta Information

Published

2026-08-13

Last Modified

2026-08-28

Generated

2026-09-02

AI Q&A

2026-08-13

EPSS Evaluated

2026-09-01

NVD

CVE-2025-62314

EUVD

EUVD-2025-210723

Affected Vendors & Products

Vendor	Product	Version / Range
hcl	aion	*

Helpful Resources

Exploitability

CWE

KEV

CWE ID	Description
CWE-307	The product does not implement sufficient measures to prevent multiple failed authentication attempts within a short time frame.

Attack-Flow Graph

Executive Summary

HCL AION has a vulnerability where some endpoints do not have strong anti-automation protections. This means automated requests or scripts can be sent without proper rate limits or challenges, which may lead to unexpected behavior or security issues under certain conditions.

Detection Guidance

To detect this vulnerability, monitor network traffic for automated or scripted requests to HCL AION endpoints. Check for unusually high request rates or repeated submissions without human interaction. Use tools like tcpdump or Wireshark to capture traffic and analyze patterns. Additionally, review server logs for repeated access attempts to specific endpoints that lack rate limiting.

Impact Analysis

This vulnerability could allow attackers to send automated requests to HCL AION, potentially causing system slowdowns, crashes, or unauthorized actions. It may also enable brute-force attacks or other automated exploits if not mitigated.

Compliance Impact

The vulnerability in HCL AION, involving insufficient anti-automation controls, could potentially lead to unauthorized or excessive data access, processing, or exfiltration. This may impact compliance with GDPR by risking unauthorized data handling and HIPAA by compromising protected health information integrity or confidentiality.

Mitigation Strategies

Implement rate limiting on endpoints to prevent automated or scripted requests from overwhelming the system. Add challenge mechanisms like CAPTCHA to distinguish between human and automated interactions.

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