DataEase 2.10.19 Locale Case Mismatch Bypass in JDBC URLs (Fixed 2.10.20)
CVE-2026-32939 Published on March 20, 2026

DataEase is Vulnerable to H2 JDBC RCE Bypass
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 (dotted capital I) instead of the standard I, so a malicious parameter like iNIT becomes NIT 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.

Vendor Advisory NVD

Vulnerability Analysis

CVE-2026-32939 can be exploited with network access, and requires small amount of user privileges. This vulnerability is consided to have a high level of attack complexity. Public availability of a proof of concept (POC) exploit exists for CVE-2026-32939. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality and integrity and availability.

Attack Vector:
NETWORK
Attack Complexity:
HIGH
Privileges Required:
LOW
User Interaction:
NONE

Weakness Type

Improper Handling of Case Sensitivity

The software does not properly account for differences in case sensitivity when accessing or determining the properties of a resource, leading to inconsistent results.


Products Associated with CVE-2026-32939

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Dataease
 

Affected Versions

dataease Version < 2.10.20 is affected by CVE-2026-32939

Exploit Probability

EPSS
0.45%
Percentile
36.59%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.