CVE-2025-70829: Datart · An Information Exposure
Source CVE Database V5
Not known to be exploited · CVSS 5.7 Medium.
Data as of 26 Oct 2026, 10:12 UTC
- EPSS
- 0.4% chance of exploitation in 30 days – higher than 40% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:NExploitation evidence
Disclosed: evidence found.
CVE published 17 Feb 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.
What to do
AI-suggested
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.
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.