| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Dataease is an open source data visualization analysis tool. Prior to 2.10.20, By controlling the IniFile parameter, an attacker can force the JDBC driver to load an attacker-controlled configuration file. This configuration file can inject dangerous JDBC properties, leading to remote code execution. The Redshift JDBC driver execution flow reaches a method named getJdbcIniFile. The getJdbcIniFile method implements an aggressive automatic configuration file discovery mechanism. If not explicitly restricted, it searches for a file named rsjdbc.ini. In a JDBC URL context, users can explicitly specify the configuration file via URL parameters, which allows arbitrary files on the server to be loaded as JDBC configuration files. Within the Redshift JDBC driver properties, the parameter IniFile is explicitly supported and used to load an external configuration file. This vulnerability is fixed in 2.10.20. |
| Dataease is an open source data visualization analysis tool. Prior to 2.10.20, The table parameter for /de2api/datasource/previewData is directly concatenated into the SQL statement without any filtering or parameterization. Since tableName is a user-controllable string, attackers can inject malicious SQL statements by constructing malicious table names. This vulnerability is fixed in 2.10.20. |
| Dataease is an open source data visualization analysis tool. In DataEase 2.10.19 and earlier, the static resource upload interface allows SVG uploads. However, backend validation only checks whether the XML is parseable and whether the root node is svg. It does not sanitize active content such as onload/onerror event handlers or script-capable attributes. As a result, an attacker can upload a malicious SVG and then trigger script execution in a browser by visiting the exposed static resource URL, forming a full stored XSS exploitation chain. This vulnerability is fixed in 2.10.20. |
| Dataease is an open source data visualization analysis tool. Prior to version 2.10.19, DataEase uses the MD5 hash of the user’s password as the JWT signing secret. This deterministic secret derivation allows an attacker to brute-force the admin’s password by exploiting unmonitored API endpoints that verify JWT tokens. The vulnerability has been fixed in v2.10.19. No known workarounds are available. |
| Dataease is an open source data visualization analysis tool. Versions prior to 2.10.17 are vulnerable to JNDI injection. A blacklist was added in the patch for version 2.10.14. However, JNDI injection remains possible via the iiop, corbaname, and iiopname schemes. The vulnerability has been fixed in version 2.10.17. |
| Dataease is an open source data visualization analysis tool. In versions 2.10.14 and below, DataEase did not properly filter when establishing JDBC connections to Oracle, resulting in a risk of JNDI injection (Java Naming and Directory Interface injection). This issue is fixed in version 2.10.15. |
| DataEase is an open source data visualization analysis tool. In versions 2.10.14 and below, the vendor added a blacklist to filter ldap:// and ldaps://. However, omission of protection for the dns:// protocol results in an SSRF vulnerability. This issue is fixed in version 2.10.15. |
| DataEase is a data visualization and analytics platform. In DataEase versions through 2.10.13, a JDBC URL injection vulnerability exists in the DB2 and MongoDB data source configuration handlers. In the DB2 data source handler, when the extraParams field is empty, the HOSTNAME, PORT, and DATABASE values are directly concatenated into the JDBC URL without filtering illegal parameters. This allows an attacker to inject a malicious JDBC string into the HOSTNAME field to bypass previously patched vulnerabilities CVE-2025-57773 and CVE-2025-58045. The vulnerability is fixed in version 2.10.14. No known workarounds exist. |
| DataEase is a data visualization and analytics platform. In DataEase versions through 2.10.13, a JDBC driver bypass vulnerability exists in the H2 database connection handler. The getJdbc function in H2.java checks if the jdbcUrl starts with jdbc:h2 but returns a separate jdbc field as the actual connection URL. An attacker can provide a jdbcUrl that starts with jdbc:h2 while supplying a different jdbc field with an arbitrary JDBC driver and connection string. This allows an authenticated attacker to trigger arbitrary JDBC connections with malicious drivers, potentially leading to remote code execution. The vulnerability is fixed in version 2.10.14. No known workarounds exist. |
| DataEase is an open source data visualization and analytics platform. In versions 2.10.13 and earlier, the /de2api/datasetData/tableField interface is vulnerable to SQL injection. An attacker can construct a malicious tableName parameter to execute arbitrary SQL commands. This issue is fixed in version 2.10.14. No known workarounds exist. |
| DataEase is a data visualization and analytics platform. In DataEase versions through 2.10.13, a stored cross-site scripting vulnerability exists due to improper file upload validation and authentication bypass. The StaticResourceApi interface defines a route upload/{fileId} that uses a URL path parameter where both the filename and extension of uploaded files are controllable by users. During permission validation, the TokenFilter invokes the WhitelistUtils#match method to determine if the URL path is in the allowlist. If the requestURI ends with .js or similar extensions, it is directly deemed safe and bypasses permission checks. This allows an attacker to access "upload/1.js" while specifying arbitrary file extensions, enabling the upload of HTML files containing malicious JavaScript. The vulnerability is fixed in version 2.10.14. No known workarounds exist. |
| An access control issue in the component /api/plugin/uninstall Dataease v1.11.1 allows attackers to arbitrarily uninstall the plugin, a right normally reserved for the administrator. |
| Dataease v1.11.1 was discovered to contain a SQL injection vulnerability via the parameter dataSourceId. |
| Dataease is an open source data analytics and visualization platform. In Dataease versions up to 2.10.12, the patch introduced to mitigate DB2 JDBC deserialization remote code execution attacks only blacklisted the rmi parameter. The ldap parameter in the DB2 JDBC connection string was not filtered, allowing attackers to exploit the DB2 JDBC connection string to trigger server-side request forgery (SSRF). In higher versions of Java, ldap deserialization (autoDeserialize) is disabled by default, preventing remote code execution, but SSRF remains exploitable. Versions up to 2.10.12 are affected. The issue is fixed in version 2.10.13. Updating to 2.10.13 or later is recommended. No known workarounds are documented aside from upgrading. |
| Dataease is an open-source data visualization and analysis platform. In versions up to and including 2.10.12, the Impala data source is vulnerable to remote code execution due to insufficient filtering in the getJdbc method of the io.dataease.datasource.type.Impala class. Attackers can construct malicious JDBC connection strings that exploit JNDI injection and trigger RMI deserialization, ultimately enabling remote command execution. The vulnerability can be exploited by editing the data source and providing a crafted JDBC connection string that references a remote configuration file, leading to RMI-based deserialization attacks. This issue has been patched in version 2.10.13. It is recommended to upgrade to the latest version. No known workarounds exist for affected versions. |
| Dataease is an open source data analytics and visualization platform. In Dataease versions up to 2.10.12 the H2 data source implementation (H2.java) does not verify that a provided JDBC URL starts with jdbc:h2. This lack of validation allows a crafted JDBC configuration that substitutes the Amazon Redshift driver and leverages the socketFactory and socketFactoryArg parameters to invoke org.springframework.context.support.FileSystemXmlApplicationContext or ClassPathXmlApplicationContext with an attacker‑controlled remote XML resource, resulting in remote code execution. Versions up to and including 2.10.12 are affected. The issue is fixed in version 2.10.13. Updating to version 2.10.13 or later is the recommended remediation. No known workarounds exist. |
| DataEase v1.11.1 was discovered to contain a arbitrary file write vulnerability via the parameter dataSourceId. |
| DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.12, because DB2 parameters are not filtered, a JNDI injection attack can be directly launched. JNDI triggers an AspectJWeaver deserialization attack, writing to various files. This vulnerability requires commons-collections 4.x and aspectjweaver-1.9.22.jar. The vulnerability has been fixed in version 2.10.12. |
| DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.12, there is a H2 JDBC RCE bypass in DataEase. If the JDBC URL meets criteria, the getJdbcUrl method is returned, which acts as the getter for the JdbcUrl parameter provided. This bypasses H2's filtering logic and returns the H2 JDBC URL, allowing the "driver":"org.h2.Driver" to specify the H2 driver for the JDBC connection. The vulnerability has been fixed in version 2.10.12. |
| DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.11, there is a bypass vulnerability in Dataease's PostgreSQL Data Source JDBC Connection Parameters. The sslfactory and sslfactoryarg parameters could trigger a bypass vulnerability. This issue has been patched in version 2.10.11. |
