CVE-2025-32966

DataEase is an open-source BI tool alternative to Tableau. Prior to version 2.10.8, authenticated users can complete RCE through the backend JDBC link. This issue has been patched in version 2.10.8...

CVE-2025-32966 Dataease H2 JDBC Connection Remote Code Execution

DataEase is an open-source BI tool alternative to Tableau. Prior to version 2.10.8, authenticated users can complete RCE through the backend JDBC link. This issue has been patched in version 2.10.8...

CVE-2025-32966

CVE-2025-32966 affects DataEase, an open-source BI tool. The vulnerability allows authenticated users to achieve remote code execution through the backend JDBC link in versions before 2.10.8. A fix is available in 2.10.8, addressing the RCE vector. Multiple connected sources (Red Hat, NVD, CVE li...

CVE-2025-32966 Dataease H2 JDBC Connection Remote Code Execution

DataEase is an open-source BI tool alternative to Tableau. Prior to version 2.10.8, authenticated users can complete RCE through the backend JDBC link. This issue has been patched in version 2.10.8...

CVE-2025-32966 Dataease H2 JDBC Connection Remote Code Execution

DataEase is an open-source BI tool alternative to Tableau. Prior to version 2.10.8, authenticated users can complete RCE through the backend JDBC link. This issue has been patched in version 2.10.8...

DataEase 安全漏洞

DataEase is an open source data visualization and analysis tool from DataEase Open Source. It is used to help users quickly analyze data and gain insight into business trends for business improvement and optimization. A security vulnerability exists in DataEase versions prior to 2.10.8 that...

PT-2025-17642 · Dataease · Dataease

Name of the Vulnerable Software and Affected Versions: DataEase versions prior to 2.10.8 Description: The issue allows authenticated users to complete remote code execution RCE through the backend JDBC link. Recommendations: For versions prior to 2.10.8, update to version 2.10.8 to resolve the...

📄 DataEase 2.4.0 Information Disclosure

DataEase version 2.4.0 suffers from a database configuration information disclosure vulnerability. - Exploit Title: DataEase Database Creds Extractor - Shodan Dork: http.html:"dataease" - FOFA Dork: body="dataease" && title=="DataEase" - Exploit Author: ByteHunter - Email: [email protected] ...

DataEase 2.4.0 - Database Configuration Information Exposure

Exploit Title: DataEase 2.4.0 - Database Configuration Information Exposure Shodan Dork: http.html:"dataease" FOFA Dork: body="dataease" && title=="DataEase" Exploit Author: ByteHunter Email: [email protected] vulnerable Versions: 2.4.0-2.5.0 Tested on: 2.4.0 CVE : CVE-2024-30269 import...

CVE-2025-27138

DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.6, there is a flaw in the authentication in the io.dataease.auth.filter.TokenFilter class, which may cause the risk of unauthorized access. The vulnerability has been fixed in v2.10.6. No known...

CVE-2025-27103

DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.6, a bypass for the patch for CVE-2024-55953 allows authenticated users to read and deserialize arbitrary files through the background JDBC connection. The vulnerability has been fixed in v2.10.6. ...

CVE-2025-24974

DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.6, authenticated users can read and deserialize arbitrary files through the background JDBC connection. The vulnerability has been fixed in v2.10.6. No known workarounds are available...

CVE-2025-27138

DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.6, there is a flaw in the authentication in the io.dataease.auth.filter.TokenFilter class, which may cause the risk of unauthorized access. The vulnerability has been fixed in v2.10.6. No known...

CVE-2025-24974

DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.6, authenticated users can read and deserialize arbitrary files through the background JDBC connection. The vulnerability has been fixed in v2.10.6. No known workarounds are available...

CVE-2025-27103

DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.6, a bypass for the patch for CVE-2024-55953 allows authenticated users to read and deserialize arbitrary files through the background JDBC connection. The vulnerability has been fixed in v2.10.6. ...

CVE-2025-27138 DataEase has an improper authentication vulnerability

DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.6, there is a flaw in the authentication in the io.dataease.auth.filter.TokenFilter class, which may cause the risk of unauthorized access. The vulnerability has been fixed in v2.10.6. No known...

CVE-2025-27138 DataEase has an improper authentication vulnerability

DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.6, there is a flaw in the authentication in the io.dataease.auth.filter.TokenFilter class, which may cause the risk of unauthorized access. The vulnerability has been fixed in v2.10.6. No known...

CVE-2025-27138

DataEase (open source BI/dashboard) before version 2.10.6 contains an authentication flaw in the io.dataease.auth.filter.TokenFilter class that may allow unauthorized access. The issue is confirmed across multiple sources and is resolved in v2.10.6. The vulnerability description does not provide ...

CVE-2025-27138 DataEase has an improper authentication vulnerability

DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.6, there is a flaw in the authentication in the io.dataease.auth.filter.TokenFilter class, which may cause the risk of unauthorized access. The vulnerability has been fixed in v2.10.6. No known...

CVE-2025-27103

Summary (CVE-2025-27103) DataEase (open source BI tool) prior to v2.10.6 is affected by a bypass of the patch for CVE-2024-55953 that allows authenticated users to read and deserialize arbitrary files via the background JDBC connection. The issue arises from the unfiltered JDBC connection string ...