Evidence used
- No CISA KEV confirmation is currently recorded.
- A structured source references public exploit or proof-of-concept material.
- EPSS is 1.43% for the current model date.
BlackTreeCVE Intelligencedataease · dataease
Official source article: GitHub GHSA-MVWC-X8X9-46C3 ↗. Check the applicable product and release in the original source.
High technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance.
High technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance.
Patch availableDataease is an open-source data visualization and analysis platform. In versions up to and including 2.10.12, the Impala data source is vulnerable to remote code execution due to insufficient filtering in the getJdbc method of the io.dataease.datasource.type.Impala class. Attackers can construct malicious JDBC connection strings that exploit JNDI injection and trigger RMI deserialization, ultimately enabling remote command execution. The vulnerability can be exploited by editing the data source and providing a crafted JDBC connection string that references a remote configuration file, leading to RMI-based deserialization attacks. This issue has been patched in version 2.10.13. It is recommended to upgrade to the latest version. No known workarounds exist for affected versions.
Dataease is an open-source data visualization and analysis platform. In versions up to and including 2.10.12, the Impala data source is vulnerable to remote code execution due to insufficient filtering in the getJdbc method of the io.dataease.datasource.type.Impala class. Attackers can construct malicious JDBC connection strings that exploit JNDI injection and trigger RMI deserialization, ultimately enabling remote command execution. The vulnerability can be exploited by editing the data source and providing a crafted JDBC connection string that references a remote configuration file, leading to RMI-based deserialization attacks. This issue has been patched in version 2.10.13. It is recommended to upgrade to the latest version. No known workarounds exist for affected versions.
Attacker-influenced serialised data is reconstructed as trusted objects, which can invoke dangerous application behaviour.
An attacker operating through a network path may attempt exploitation with low privileges. If successful, the issue may execute code or commands in the affected security context.
Dataease is an open-source data visualization and analysis platform. In versions up to and including 2.10.12, the Impala data source is vulnerable to remote code execution due to insufficient filtering in the getJdbc method of the io.dataease.datasource.type.Impala class. Attackers can construct malicious JDBC connection strings that exploit JNDI injection and trigger RMI deserialization, ultimately enabling remote command execution. The vulnerability can be exploited by editing the data source and providing a crafted JDBC connection string that references a remote configuration file, leading to RMI-based deserialization attacks. This issue has been patched in version 2.10.13. It is recommended to upgrade to the latest version. No known workarounds exist for affected versions.
Attacker-influenced serialised data is reconstructed as trusted objects, which can invoke dangerous application behaviour.
An attacker operating through a network path may attempt exploitation with low privileges. If successful, the issue may execute code or commands in the affected security context.
CVSS severity, EPSS forecast probability, public exploit material and CISA-confirmed exploitation are separate signals.
No CISA KEV match was present at the last successful refresh. This means no confirmation from that source, not proof of no exploitation.
A structured CVE source labels at least one public reference as exploit material. BlackTree has not independently validated that it is safe, reliable or weaponised.
CWE-502: Deserialization of Untrusted Data. The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:NCommon Vulnerability Scoring System 4.0: the compact vector below is decoded into plain language.
Operational remediation based on structured source evidence.
Published 15 Sept 2025 · Last source change 15 Sept 2025, 16:36 UTC · CWE-502 · Deserialization of Untrusted Data
Core structured fields are present and their contributing authorities are shown above.
No material field changes have been recorded since change tracking began. Routine source refreshes and cosmetic edits are intentionally excluded.