CVE-2025-70829: n/a
An information exposure vulnerability in Datart v1.0.0-rc.3 allows authenticated attackers to access sensitive data via a custom H2 JDBC connection string.
AI Analysis
Technical Summary
CVE-2025-70829 is an information exposure vulnerability identified in Datart version 1.0.0-rc.3, a data visualization and analytics platform. The flaw arises from the way Datart handles custom H2 JDBC connection strings, which can be manipulated by authenticated attackers to access sensitive information that should otherwise be protected. The vulnerability requires that the attacker has valid authentication credentials, indicating that it is not exploitable by unauthenticated users. However, once authenticated, an attacker can craft or modify the JDBC connection string to retrieve sensitive data from the underlying H2 database, potentially exposing confidential business intelligence, user data, or configuration details. The vulnerability does not require user interaction beyond authentication, making it easier to exploit once access is gained. No official patches or fixes have been published yet, and there are no known exploits in the wild, suggesting that the vulnerability is newly disclosed. The lack of a CVSS score means that severity must be inferred from the nature of the vulnerability, which impacts confidentiality primarily, with potential indirect effects on integrity if sensitive configuration data is exposed. The vulnerability affects a specific release candidate version of Datart, which may limit exposure but still poses a risk to organizations using this version in production or testing environments.
Potential Impact
For European organizations, the primary impact of CVE-2025-70829 is the unauthorized disclosure of sensitive data stored within Datart's H2 database. This can lead to breaches of confidentiality, potentially exposing proprietary analytics, customer information, or internal configurations. Such exposure could facilitate further attacks, including privilege escalation or lateral movement within networks. Organizations in sectors relying heavily on data analytics and business intelligence, such as finance, manufacturing, and public administration, may face significant operational and reputational damage. The requirement for attacker authentication reduces the risk from external unauthenticated attackers but increases the threat from insider threats or compromised credentials. Additionally, the absence of patches means organizations must rely on compensating controls, increasing operational overhead. The exposure of sensitive data could also lead to non-compliance with European data protection regulations like GDPR, resulting in legal and financial penalties.
Mitigation Recommendations
To mitigate CVE-2025-70829, European organizations should immediately restrict access to Datart instances running version 1.0.0-rc.3, ensuring that only trusted and necessary personnel have authentication credentials. Implement strong multi-factor authentication (MFA) to reduce the risk of credential compromise. Monitor and audit JDBC connection strings and database access logs for unusual or unauthorized queries that may indicate exploitation attempts. Network segmentation should be employed to isolate Datart servers from broader enterprise networks, limiting lateral movement opportunities. Until an official patch is released, consider disabling or restricting the use of custom H2 JDBC connection strings if feasible. Conduct regular credential reviews and enforce the principle of least privilege for all Datart users. Engage with the vendor or community for updates on patches or mitigations and plan for timely application once available. Finally, perform security awareness training to reduce insider threat risks related to credential misuse.
Affected Countries
Germany, France, Netherlands, United Kingdom, Italy, Spain
CVE-2025-70829: n/a
Description
An information exposure vulnerability in Datart v1.0.0-rc.3 allows authenticated attackers to access sensitive data via a custom H2 JDBC connection string.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-70829 is an information exposure vulnerability identified in Datart version 1.0.0-rc.3, a data visualization and analytics platform. The flaw arises from the way Datart handles custom H2 JDBC connection strings, which can be manipulated by authenticated attackers to access sensitive information that should otherwise be protected. The vulnerability requires that the attacker has valid authentication credentials, indicating that it is not exploitable by unauthenticated users. However, once authenticated, an attacker can craft or modify the JDBC connection string to retrieve sensitive data from the underlying H2 database, potentially exposing confidential business intelligence, user data, or configuration details. The vulnerability does not require user interaction beyond authentication, making it easier to exploit once access is gained. No official patches or fixes have been published yet, and there are no known exploits in the wild, suggesting that the vulnerability is newly disclosed. The lack of a CVSS score means that severity must be inferred from the nature of the vulnerability, which impacts confidentiality primarily, with potential indirect effects on integrity if sensitive configuration data is exposed. The vulnerability affects a specific release candidate version of Datart, which may limit exposure but still poses a risk to organizations using this version in production or testing environments.
Potential Impact
For European organizations, the primary impact of CVE-2025-70829 is the unauthorized disclosure of sensitive data stored within Datart's H2 database. This can lead to breaches of confidentiality, potentially exposing proprietary analytics, customer information, or internal configurations. Such exposure could facilitate further attacks, including privilege escalation or lateral movement within networks. Organizations in sectors relying heavily on data analytics and business intelligence, such as finance, manufacturing, and public administration, may face significant operational and reputational damage. The requirement for attacker authentication reduces the risk from external unauthenticated attackers but increases the threat from insider threats or compromised credentials. Additionally, the absence of patches means organizations must rely on compensating controls, increasing operational overhead. The exposure of sensitive data could also lead to non-compliance with European data protection regulations like GDPR, resulting in legal and financial penalties.
Mitigation Recommendations
To mitigate CVE-2025-70829, European organizations should immediately restrict access to Datart instances running version 1.0.0-rc.3, ensuring that only trusted and necessary personnel have authentication credentials. Implement strong multi-factor authentication (MFA) to reduce the risk of credential compromise. Monitor and audit JDBC connection strings and database access logs for unusual or unauthorized queries that may indicate exploitation attempts. Network segmentation should be employed to isolate Datart servers from broader enterprise networks, limiting lateral movement opportunities. Until an official patch is released, consider disabling or restricting the use of custom H2 JDBC connection strings if feasible. Conduct regular credential reviews and enforce the principle of least privilege for all Datart users. Engage with the vendor or community for updates on patches or mitigations and plan for timely application once available. Finally, perform security awareness training to reduce insider threat risks related to credential misuse.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- mitre
- Date Reserved
- 2026-01-09T00:00:00.000Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 6994861680d747be20bbcc50
Added to database: 2/17/2026, 3:15:34 PM
Last enriched: 2/17/2026, 3:30:04 PM
Last updated: 4/3/2026, 10:05:59 PM
Views: 73
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