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CVE Vulnerability Database
Vulnerability Database/CVE-2025-52649

CVE-2025-52649: HCL AION Information Disclosure Flaw

CVE-2025-52649 is an information disclosure vulnerability in HCL AION caused by predictable identifiers that may allow attackers to guess system values. This article covers technical details, affected versions, and mitigations.

Published: March 20, 2026

CVE-2025-52649 Overview

HCL AION is affected by an information disclosure vulnerability where certain system-generated identifiers may be predictable in nature. This weakness allows an attacker to potentially infer or guess system-generated values, which could lead to limited information disclosure or unintended access under specific conditions.

Critical Impact

Predictable identifiers in HCL AION may enable attackers to enumerate system resources and gain unauthorized access to sensitive information through identifier guessing attacks.

Affected Products

  • HCLTech AION (all versions)

Discovery Timeline

  • 2026-03-16 - CVE-2025-52649 published to NVD
  • 2026-03-18 - Last updated in NVD database

Technical Details for CVE-2025-52649

Vulnerability Analysis

This vulnerability falls under CWE-200 (Exposure of Sensitive Information to an Unauthorized Actor). The core issue lies in the predictability of system-generated identifiers within HCL AION. When identifiers follow a predictable pattern—such as sequential numbers, timestamps, or insufficiently random values—attackers can enumerate these values to discover valid identifiers without proper authorization.

The network-accessible nature of this vulnerability means that remote attackers can probe the application without requiring authentication or user interaction. While the impact is limited to confidentiality exposure rather than system compromise, the low attack complexity makes this an attractive target for reconnaissance activities.

Root Cause

The vulnerability stems from inadequate randomization or entropy in the identifier generation mechanism within HCL AION. System-generated identifiers likely rely on predictable algorithms such as sequential incrementation, timestamp-based generation, or weak pseudo-random number generators that can be reverse-engineered or predicted by observing patterns in returned values.

Attack Vector

This vulnerability is exploitable remotely over the network. An attacker can exploit this flaw by:

  1. Observing patterns in identifiers returned by the application during normal interactions
  2. Analyzing the identifier format to determine the generation algorithm
  3. Predicting valid identifiers for other resources or sessions
  4. Using predicted identifiers to access information intended for other users or system contexts

The attack requires no authentication and no user interaction, making it feasible for automated enumeration attacks.

Detection Methods for CVE-2025-52649

Indicators of Compromise

  • Unusual patterns of sequential or near-sequential resource requests
  • High volume of requests targeting identifier-based endpoints with incremental or predictable values
  • Access attempts to resources using identifiers that were never legitimately issued to the requesting entity
  • Enumeration-style traffic patterns with systematic identifier probing

Detection Strategies

  • Monitor application logs for repeated access attempts with sequential or incremental identifiers
  • Implement rate limiting on endpoints that expose or accept system-generated identifiers
  • Deploy anomaly detection to identify unusual patterns of identifier guessing
  • Enable detailed logging of identifier-based resource access for forensic analysis

Monitoring Recommendations

  • Configure alerts for high-frequency requests to identifier-sensitive endpoints
  • Review access logs for patterns indicating systematic enumeration attempts
  • Monitor for failed access attempts that could indicate identifier prediction attacks
  • Implement real-time correlation of identifier access patterns across users

How to Mitigate CVE-2025-52649

Immediate Actions Required

  • Apply the vendor-provided security update as documented in the HCL Software Knowledge Base Article
  • Audit current identifier generation mechanisms in your HCL AION deployment
  • Implement additional access controls on endpoints that expose sensitive identifiers
  • Enable enhanced logging to detect potential exploitation attempts

Patch Information

HCL Software has released security guidance for this vulnerability. Organizations should consult the official HCL Software Knowledge Base Article for detailed patch information, affected version specifics, and upgrade instructions.

Workarounds

  • Implement additional authentication checks before honoring identifier-based requests
  • Add rate limiting to prevent automated enumeration of identifiers
  • Deploy Web Application Firewall (WAF) rules to detect and block enumeration patterns
  • Consider implementing identifier obfuscation or encryption at the application layer as a defense-in-depth measure

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeInformation Disclosure

  • Vendor/TechHcltech Aion

  • SeverityMEDIUM

  • CVSS Score5.3

  • EPSS Probability0.02%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-200
  • Vendor Resources
  • HCL Software Knowledge Base Article
  • Related CVEs
  • CVE-2025-52644: HCLTech AION Audit Logging Vulnerability

  • CVE-2025-52643: HCLTech AION File Parsing Vulnerability

  • CVE-2025-52645: HCLTech AION Model Integrity Vulnerability

  • CVE-2025-52646: HCLTech AION SQL Injection Vulnerability
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