Vulnerability Database

352,427

Total vulnerabilities in the database

CVE-2026-32939 — dataease / dataease

Improper Handling of Case Sensitivity

DataEase is an open source data visualization analysis tool. Versions 2.10.19 and below have inconsistent Locale handling between the JDBC URL validation logic and the H2 JDBC engine's internal parsing. DataEase uses String.toUpperCase() without specifying an explicit Locale, causing its security checks to rely on the JVM's default runtime locale, while H2 JDBC always normalizes URLs using Locale.ENGLISH. In Turkish locale environments (tr_TR), Java converts the lowercase letter i to İ (dotted capital I) instead of the standard I, so a malicious parameter like iNIT becomes İNIT in DataEase's filter (bypassing its blacklist) while H2 still correctly interprets it as INIT. This discrepancy allows attackers to smuggle dangerous JDBC parameters past DataEase's security validation, and the issue has been confirmed as exploitable in real DataEase deployment scenarios running under affected regional settings. The issue has been fixed in version 2.10.20.

  • Published: Mar 20, 2026
  • Updated: Mar 24, 2026
  • CVE: CVE-2026-32939
  • Severity: High
  • Exploit:
  • CISA KEV:

CVSS v3:

  • Severity: High
  • Score: 8.1
  • AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H

CWEs:

Frequently Asked Questions

A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.

CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.

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Recurring findings usually come from incomplete Asset Discovery, inconsistent patch management, inherited images, and configuration drift. In modern environments, you also need to watch the software supply chain: dependencies, containers, build pipelines, and third-party services can reintroduce the same weakness even after you patch a single host. Unknown or unmanaged assets (often called Shadow IT) are a common reason the same issues resurface.

Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.

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