CVE-2026-104143 in DataEase
Summary
by MITRE • 10/14/2026
DataEase is an open source data visualization and analysis tool. Prior to 2.10.26, authenticated users can store a crafted custom dateFormat for a dataset field. DatasetTableFieldDTO.dateFormat is inserted without validation into date conversion templates used by Dimension2SQLObj, CustomWhere2Str, Field2SQLObj, WhereTree2Str, and ExtWhere2Str. When a chart renders the field on a cross-datasource dataset, Calcite parsing is bypassed and the crafted format can directly alter the generated SQL. On a single-datasource dataset, exploitation additionally requires the payload to survive Calcite reserialization as a valid string literal. Successful exploitation can compromise the confidentiality, integrity, and availability of the backend database. This issue is fixed in version 2.10.26.
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Analysis
by VulDB Data Team • 10/14/2026
DataEase serves as an open-source platform for data visualization and analysis, enabling users to create interactive dashboards from various data sources. A critical security vulnerability was identified within versions prior to 2.10.26 that allows authenticated attackers to manipulate the underlying SQL queries generated by the application. The root cause of this flaw lies in the handling of custom date format strings for dataset fields. Specifically, the DatasetTableFieldDTO.dateFormat property is accepted from user input and inserted directly into internal templates used for generating SQL statements without adequate validation or sanitization. This design oversight affects multiple components responsible for query construction, including Dimension2SQLObj, CustomWhere2Str, Field2SQLObj, WhereTree2Str, and ExtWhere2Str, which rely on these format strings to process date-related data transformations.
The operational impact of this vulnerability is significant because it leads to a SQL injection attack vector that bypasses standard parsing safeguards in specific contexts. When a chart renders a field associated with a cross-datasource dataset, the application utilizes Apache Calcite for query translation and optimization. However, due to the manner in which the crafted dateFormat string is integrated into the generation logic, Calcite's parsing mechanisms are effectively circumvented. This allows an authenticated user to inject arbitrary SQL commands directly into the generated query structure. In scenarios involving single-datasource datasets, exploitation requires additional complexity; the injected payload must survive Calcite reserialization as a valid string literal. Despite this extra hurdle, successful exploitation remains feasible for determined attackers who can craft payloads that adhere to these serialization constraints while still achieving malicious intent.
The consequences of exploiting this vulnerability extend across all three pillars of information security: confidentiality, integrity, and availability. By injecting arbitrary SQL commands, an attacker can potentially read sensitive data from the backend database that they should not have access to, thereby compromising confidentiality. They may also modify or delete critical records, undermining data integrity. Furthermore, through techniques such as denial-of-service via resource-intensive queries or destructive statements like DROP TABLE, attackers can disrupt service availability. This vulnerability is classified under CWE-89 Improper Neutralization of Special Elements used in an SQL Command and aligns with ATT&CK technique T1059 Command and Scripting Interpreter when considering the broader context of executing arbitrary commands via database interaction.
To mitigate this risk, organizations using DataEase must upgrade to version 2.10.26 or later, where the issue has been resolved through improved input validation and safer handling of date format strings. Until an update is applied, administrators should enforce strict access controls to ensure that only trusted users can create or modify dataset fields with custom formatting options. Additionally, implementing Web Application Firewalls (WAFs) configured to detect SQL injection patterns may provide a layer of defense against exploitation attempts. Regular security audits and code reviews focusing on dynamic query construction practices are also recommended to prevent similar vulnerabilities in future development cycles.