PatchSiren cyber security CVE debrief
CVE-2025-62319 HCL CVE debrief
CVE-2025-62319 is a critical Boolean-Based SQL Injection vulnerability in HCLTech Unica and Unica Audience Central. This CVE debrief provides an overview of the vulnerability, its impact, and recommended actions for mitigation.
- Vendor
- HCL
- Product
- Unica
- CVSS
- CRITICAL 9.8
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-03-16
- Original CVE updated
- 2026-06-05
- Advisory published
- 2026-03-16
- Advisory updated
- 2026-06-05
Who should care
Administrators and users of HCLTech Unica and Unica Audience Central versions prior to 25.1.1.0.1 should be aware of this vulnerability and take immediate action to mitigate the risk.
Technical summary
CVE-2025-62319 is a Boolean-Based SQL Injection vulnerability in HCLTech Unica and Unica Audience Central. The vulnerability allows an attacker to inject arbitrary SQL into backend configuration queries executed within the application, potentially leading to unauthorized access, data tampering, and other malicious activities.
Defensive priority
High
Recommended defensive actions
- Apply the patch or update to version 25.1.1.0.1 or later for HCLTech Unica and Unica Audience Central.
- Restrict access to the application and its components to minimize the attack surface.
- Implement additional security measures, such as input validation and sanitization, to prevent similar vulnerabilities.
Evidence notes
The CVE-2025-62319 vulnerability has been analyzed and verified by official sources, including the National Vulnerability Database (NVD).
Sources and references
Verified primary and authoritative sources
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CVE-2025-62319 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2025-62319
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2025-62319 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2025-62319
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.