Skip to main content

CVE-2024-56428: n/a in n/a

Medium
VulnerabilityCVE-2024-56428cvecve-2024-56428
Published: Wed May 21 2025 (05/21/2025, 00:00:00 UTC)
Source: CVE
Vendor/Project: n/a
Product: n/a

Description

The local iLabClient database in itech iLabClient 3.7.1 allows local attackers to read cleartext credentials (from the CONFIGS table) for their servers configured in the client.

AI-Powered Analysis

AILast updated: 07/07/2025, 12:42:40 UTC

Technical Analysis

CVE-2024-56428 is a medium-severity vulnerability affecting the local iLabClient database in itech iLabClient version 3.7.1. The vulnerability arises because the CONFIGS table within the local database stores server credentials in cleartext, allowing local attackers with limited privileges (PR:L) to read sensitive authentication information without requiring user interaction (UI:N). The vulnerability is classified under CWE-312, which pertains to the cleartext storage of sensitive information. The CVSS 3.1 vector (AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N) indicates that the attack vector is local, the attack complexity is low, privileges required are low, and there is no need for user interaction. The impact is primarily on confidentiality, as attackers can obtain high-impact credential disclosure, but integrity and availability remain unaffected. No known exploits are currently reported in the wild, and no patches have been linked yet. This vulnerability could allow an attacker with local access to the system to escalate their privileges or move laterally by leveraging the exposed credentials to access configured servers, potentially leading to further compromise of network resources or sensitive data stored on those servers.

Potential Impact

For European organizations, this vulnerability poses a significant risk especially in environments where itech iLabClient 3.7.1 is deployed for server management or monitoring. The exposure of cleartext credentials can lead to unauthorized access to critical servers, potentially compromising sensitive business data or disrupting operations. Organizations with strict data protection regulations such as GDPR may face compliance risks if credential leakage leads to data breaches. Additionally, sectors with high-value targets like finance, healthcare, and critical infrastructure could experience elevated risks of lateral movement by attackers, increasing the likelihood of broader network compromise. The local attack vector means that insider threats or attackers who have gained initial footholds on endpoints could exploit this vulnerability to escalate privileges or expand their access within the network.

Mitigation Recommendations

To mitigate this vulnerability, organizations should first identify all instances of itech iLabClient 3.7.1 in their environment and restrict local access to trusted users only. Since no patches are currently available, immediate steps include encrypting the local database or the CONFIGS table if possible, or applying file system-level encryption and strict access controls to prevent unauthorized reading of the database files. Additionally, organizations should implement robust endpoint detection and response (EDR) solutions to monitor for suspicious local access patterns. Credential rotation policies should be enforced regularly to limit the window of exposure if credentials are compromised. Network segmentation can also reduce the impact by limiting the servers accessible with the exposed credentials. Finally, organizations should engage with the vendor or monitor advisories for forthcoming patches and apply them promptly once available.

Need more detailed analysis?Get Pro

Technical Details

Data Version
5.1
Assigner Short Name
mitre
Date Reserved
2024-12-24T00:00:00.000Z
Cisa Enriched
false
Cvss Version
3.1
State
PUBLISHED

Threat ID: 682e087cc4522896dcc37224

Added to database: 5/21/2025, 5:08:12 PM

Last enriched: 7/7/2025, 12:42:40 PM

Last updated: 8/17/2025, 6:44:23 PM

Views: 12

Actions

PRO

Updates to AI analysis are available only with a Pro account. Contact root@offseq.com for access.

Please log in to the Console to use AI analysis features.

Need enhanced features?

Contact root@offseq.com for Pro access with improved analysis and higher rate limits.

Latest Threats