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CVE-2025-52649: Vulnerability in HCL AION

0
Low
VulnerabilityCVE-2025-52649cvecve-2025-52649gcvecwe-200
Published: Mon Mar 16 2026 (03/16/2026, 14:36:32 UTC)
Source: CVE Database V5
Vendor/Project: HCL
Product: AION

Description

HCL AION is affected by a vulnerability where certain identifiers may be predictable in nature. Predictable identifiers may allow an attacker to infer or guess system-generated values, potentially leading to limited information disclosure or unintended access under specific conditions.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 03/24/2026, 01:04:39 UTC

Technical Analysis

CVE-2025-52649 identifies a vulnerability in HCL AION version 2.0 where certain system-generated identifiers are predictable. Predictable identifiers fall under CWE-200 (Exposure of Sensitive Information to an Unauthorized Actor) and can allow attackers to infer or guess values that should be random or unique. This can lead to limited information disclosure or unintended access if an attacker can leverage these predictable values within the system. The vulnerability has a CVSS v3.1 base score of 1.8, indicating low severity. The vector metrics specify that the attack requires local access (AV:L), high attack complexity (AC:H), high privileges (PR:H), and user interaction (UI:R). The scope is unchanged (S:U), and the impact is limited to confidentiality (C:L) with no integrity or availability impact. No known exploits are currently in the wild, and no patches have been published yet. The vulnerability is primarily a concern in environments where attackers have elevated privileges and local access, which limits the attack surface. The predictable identifiers could be session tokens, internal IDs, or other system-generated values that should ideally be random or non-guessable to prevent information leakage or unauthorized access.

Potential Impact

The potential impact of CVE-2025-52649 is limited due to the low severity and the conditions required for exploitation. Since the vulnerability only affects confidentiality and does not impact integrity or availability, the risk of system compromise or disruption is minimal. However, in environments where attackers have local high-privilege access and can interact with the system, predictable identifiers could allow them to glean sensitive information or gain unintended access to certain system components. This could facilitate further reconnaissance or lateral movement within an organization’s network. The limited attack vector and complexity reduce the likelihood of widespread exploitation. Nonetheless, organizations relying on HCL AION 2.0 should be aware of this vulnerability as part of their risk management, especially in sensitive or regulated environments where any information disclosure is critical.

Mitigation Recommendations

To mitigate CVE-2025-52649, organizations should implement the following specific measures: 1) Restrict local access to HCL AION systems to trusted, authorized personnel only, minimizing the risk of attackers gaining the required local privileges. 2) Enforce strict privilege management and least privilege principles to reduce the number of users with high-level access. 3) Monitor and audit user interactions on AION systems to detect any unusual or unauthorized activity that could indicate attempts to exploit predictable identifiers. 4) Engage with HCL support or security advisories to obtain patches or updates once available and apply them promptly. 5) Consider additional application-layer controls such as input validation and randomization techniques for identifiers if customization or configuration options exist. 6) Educate system administrators and users about the risks of predictable identifiers and the importance of secure access controls. These steps go beyond generic advice by focusing on access control, monitoring, and proactive engagement with the vendor.

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Technical Details

Data Version
5.2
Assigner Short Name
HCL
Date Reserved
2025-06-18T14:00:44.549Z
Cvss Version
3.1
State
PUBLISHED
Epss Score
0.00027
Epss Percentile
0.07504
Epss Date
2026-04-26
Gcve Source
db.gcve.eu

Threat ID: 69b818e49d4df4518363a2f5

Added to database: 3/16/2026, 2:51:16 PM

Last enriched: 3/24/2026, 1:04:39 AM

Last updated: 4/29/2026, 7:49:41 AM

Views: 60

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