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 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.
为什么是这个 VPI(可解释·实验性)
VPI 计算依据
| 影响度 | 71.00 |
| 利用信号(无额外利用信号) | ×1.00 |
| VPI | 71.00 |
VPI 公式 vpi-v1