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.
Security readout for executives and security teams
Plain-English summary
DataEase versions before 2.10.23 have a critical remote code execution flaw in Redshift datasource handling. An authenticated attacker may be able to make a normal database connection load hostile configuration from the Java temporary directory, leading to code execution. Upgrade priority is high for any DataEase deployment using or allowing Redshift datasource connections.
Executive priority
Treat this as urgent for exposed or multi-user DataEase environments. The issue can lead to full compromise of the DataEase server, but current sources do not show confirmed exploitation in the wild.
Technical view
The flaw is in DataEase Redshift datasource connections. The Redshift JDBC driver can load attacker-controlled rsjdbc.ini from java.io.tmpdir and instantiate a configured socketFactory, enabling a reflection-based RCE chain during connection handling. Sources identify io.dataease.datasource.type.Redshift and Redshift driver methods as the affected path. Fixed in 2.10.23.
Likely exposure
Exposure appears limited to DataEase versions before 2.10.23, especially deployments where authenticated users can configure or trigger Redshift datasource connections. The bundle does not identify other datasource types or products as affected.
Exploitation context
The CVSS vector indicates network reachability, low privileges, no user interaction, high impact, high attack complexity, and required attack conditions. KEV is false, and the provided sources do not cite active exploitation or public weaponization.
Researcher notes
Evidence is strongest for the Redshift datasource path and versions before 2.10.23. The advisory describes a configuration-loading and object-instantiation chain, but validation should avoid exploit reproduction and focus on version, permissions, feature exposure, and vendor-confirmed fixes.
Mitigation direction
Upgrade DataEase to version 2.10.23 or later.
Review vendor advisory and release notes for any additional hardening guidance.
Restrict who can create, edit, or test Redshift datasource connections.
Audit DataEase temporary directories for unexpected JDBC configuration files.
Monitor DataEase for unusual datasource connection attempts or failures.
Validation and detection
Inventory all DataEase deployments and record their versions.
Confirm no production instance remains below 2.10.23.
Identify whether Redshift datasource support is enabled or used.
Review datasource permission assignments for low-privileged accounts.
Check logs for recent Redshift datasource connection activity.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Potential ATT&CK relevance
Conservative CVE-to-ATT&CK context
These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.
ATT&CK lookup starting points
Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.
cwe · medium confidence lookup
CWE-94: Code execution behavior lookup
Code execution and unsafe deserialization weaknesses often justify reviewing execution behavior and process telemetry. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.
The CVE wording references code or command execution, so execution technique review may help defensive triage. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.
These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
1CVSS vectors
3Timeline events
1ADP providers
4Source links
SSVC decision data
CISA-ADPCISA Coordinator
Timestamp
Version
2.0.3
Exploitation: pocAutomatable: noTechnical Impact: total
CVSS vector scores
1 official score
We collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
CWE-94 · source CWE mapping
Improper Control of Generation of Code ('Code Injection')
Improper Control of Generation of Code ('Code Injection') represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.