| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| DataEase is an open source data visualization and analysis tool. Prior to 2.10.23, DataEase dashboard SQL variables such as ${deptId} are processed by SqlparserUtils.transFilter(), whose final branch returns raw user input for non-in and non-between operators before SubstitutedSql.replace("${var}", value) splices it into dashboard SQL, allowing authenticated users who can view a dashboard to inject SQL against integrated 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 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 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 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 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 SQL-type datasets store attacker-controlled SQL variable defaultValue entries such as ${var} and SqlparserUtils.handleVariableDefaultValue() inserts them with String.replace() without escaping or parameterization, causing stored SQL injection whenever a user with dataset read permission accesses the dataset. 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, the /de2api/datasetData/previewSql endpoint lacks the mandatory @DePermit permission validation annotation, allowing any authenticated user to specify datasourceId=-1, access the built-in engine database, execute arbitrary SQL statements, and read sensitive core data. This issue is fixed in version 2.10.24. |
| 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, any authenticated user can download (/exportCenter/download/{id}), delete (/exportCenter/delete), retry (/exportCenter/retry/{id}), or generate download links (/exportCenter/generateDownloadUri/{id}) for export tasks belonging to other users by manipulating the task ID parameter, and the /exportCenter/download/{id} endpoint is whitelisted from authentication, allowing unauthenticated access to exported files. This issue is fixed in version 2.10.24. |
| DataEase is an open source data visualization and analysis tool. Prior to 2.10.24, a bypass of the H2 zip protocol and file dropper fix allows an authenticated attacker to upload a zip archive disguised with a .ttf extension through FontManage.saveFile and then exploit it through the zip protocol to achieve remote code execution. This issue is fixed in version 2.10.24. |
| DataEase is an open source data visualization and analysis tool. Prior to 2.10.24, a share mode chart data interface only validates that sceneId matches the resourceId in the link token and fails to validate whether tableId and field IDs in the request body belong to the shared resource, allowing an attacker with a valid share link token to replace dataset identifiers and retrieve unauthorized data through POST /de2api/chartData/getData. This issue is fixed in version 2.10.24. |
| DataEase is an open source data visualization and analysis tool. Prior to 2.10.24, dashboard text components render stored component content with Vue v-html without server-side HTML sanitization, allowing an authenticated user who can edit dashboard component data to inject HTML with executable event handlers that execute when another user or shared-link visitor views the dashboard. 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 data visualization and analysis tool. Prior to 2.10.24, ShareSecretManage uses a hardcoded default share link signature key, allowing an attacker who can obtain a passwordless share for a resource and user to use the known key link-pwd-fit2cloud to forge linkToken JWTs, bypass TokenFilter verification, and access backend resources as the share creator even if the original share has been revoked. 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 /de2api/share/proxyInfo share interface generates and returns X-DE-LINK-TOKEN before validating the share password or ticket, allowing unauthenticated attackers who know a protected share UUID to obtain a valid link token for subsequent share-related API calls even with missing or invalid credentials. 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 font management module allows authenticated users to submit an arbitrary fileTransName when creating a font record; when the record is later deleted, the backend concatenates that stored value with the font storage directory and passes it to FileUtils.deleteFile() without path traversal sanitization, allowing deletion of arbitrary writable files in the application container. This issue is fixed in version 2.10.24. |
| A security flaw has been discovered in Dataease 2.10.20. Impacted is the function SqlparserUtils.transFilter of the file SqlparserUtils.java of the component Data Dashboard. The manipulation results in sql injection. The attack may be launched remotely. The exploit has been released to the public and may be used for attacks. The vendor was contacted early about this disclosure. |
| SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. Prior to 1.8.0, SQLBot contains a Cross-Workspace IDOR (Insecure Direct Object Reference) and Authorization Bypass vulnerability in the /api/v1/datasource/exportDsSchema and /api/v1/datasource/uploadDsSchema endpoints. An attacker can access and modify database schemas and data sources belonging to other tenants/workspaces. This vulnerability is fixed in 1.8.0. |
| SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and the SQL extracted from the LLM response is executed against the database without validation or sanitization. An authenticated attacker can craft a malicious question to manipulate the LLM into generating and executing arbitrary SQL statements. When connected to a PostgreSQL data source, this can lead to remote code execution via COPY FROM PROGRAM. This issue has been fixed in version 1.7.1. |
