CVE-2026-21752 in Hive
Summary
by MITRE • 08/24/2026
HCL Hive is affected by a use of vulnerable third-party components which could allow an attacker unauthorized access or compromise of the system by exploiting publicly documented security flaws.
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Analysis
by VulDB Data Team • 08/24/2026
The vulnerability identified in HCL Hive stems from the integration and reliance on third-party software components that contain known, publicly disclosed security weaknesses. This class of issue is fundamentally rooted in poor supply chain management practices where dependencies are not rigorously vetted for their current patch status or adherence to established secure coding standards. By incorporating libraries or frameworks with documented flaws, HCL Hive inadvertently introduces attack vectors into its own architecture. These third-party components often serve as critical infrastructure within the application, handling data processing, authentication mechanisms, or system interactions. When these underlying modules are compromised due to their internal vulnerabilities, the security of the entire host application is jeopardized because the attacker can leverage the trusted relationship between HCL Hive and its dependencies to bypass higher-level security controls.
From a technical perspective, this vulnerability aligns with CWE-1104, which describes the use of an inappropriately managed third-party component. The specific nature of the compromise depends on the exact libraries involved but generally involves exploiting buffer overflows, injection flaws, or authentication bypasses that have been previously documented and for which patches exist but were not applied by the HCL Hive development team. This lack of timely updates means that any threat actor with knowledge of these public exploits can interact with the vulnerable components directly. Since third-party libraries often operate with elevated privileges to perform system-level tasks, successful exploitation allows an attacker to execute arbitrary code, escalate privileges, or exfiltrate sensitive data stored within HCL Hive's environment. The presence of such flaws indicates a gap in the software development lifecycle regarding dependency scanning and continuous monitoring for new vulnerability disclosures affecting included packages.
The operational impact of this vulnerability is severe, as it potentially grants unauthorized access to the system hosting HCL Hive. An attacker could achieve remote code execution or gain administrative control over the underlying infrastructure if the vulnerable component allows privilege escalation. This compromises the confidentiality, integrity, and availability of the services provided by HCL Hive. Sensitive business data processed through the application may be stolen, modified, or destroyed. Furthermore, the compromised system can serve as a pivot point for lateral movement within an enterprise network, allowing attackers to target other critical assets that rely on trust relationships with the affected server. The public nature of these flaws means that automated scanning tools and opportunistic attackers are likely already attempting to exploit this weakness in real-time, increasing the urgency of remediation.
To mitigate this risk, immediate action must be taken to update all third-party dependencies within HCL Hive to their latest secure versions where available. Organizations should implement a robust software composition analysis process using automated tools that continuously scan for known vulnerabilities in open-source and commercial components. This aligns with industry best practices recommended by the National Institute of Standards and Technology regarding supply chain security. Additionally, adopting principles from MITRE ATT&CK technique T1587, which covers developing capabilities for malware or other attacks including exploit code, highlights the need to assume that third-party components may be compromised. Therefore, defense-in-depth strategies such as network segmentation, strict access controls, and runtime application self-protection should be employed to limit the blast radius of any successful exploitation. Regular audits of dependency trees and adherence to secure coding guidelines will help prevent similar issues in future releases.