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.
왜 이 VPI인가 (설명가능 · 실험적)
VPI 산정 기준
| 영향도 | 71.00 |
| 악용 신호(추가 악용신호 없음) | ×1.00 |
| VPI | 71.00 |
VPI 공식 vpi-v1 기준