CVE-2025-49001
Published: 03 June 2025
Summary
CVE-2025-49001 is a high-severity Improper Authentication (CWE-287) vulnerability in Dataease Dataease. Its CVSS base score is 7.7 (High).
Operationally, ranked in the top 8.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
DataEase, an open source business intelligence and data visualization platform, contains an authentication flaw in versions prior to 2.10.10. The secret verification step for JWT token validation does not function as intended, allowing any arbitrary secret value to be accepted during token creation. This stems from improper implementation of authentication checks, tracked under CWE-287, and carries a CVSS 4.0 score of 7.7 reflecting network-accessible exploitation with high integrity consequences.
An unauthenticated remote attacker can supply a forged JWT token using any secret string to bypass authentication entirely. Successful exploitation grants the ability to impersonate legitimate users and perform unauthorized actions that alter system data or configuration, though confidentiality and availability impacts remain limited.
The official GitHub Security Advisory confirms the issue is resolved in release 2.10.10, with no workarounds identified. The associated EPSS score has remained flat at 0.0737 with no material increase since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-16789
Vulnerability details
DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.10, secret verification does not take effect successfully, so a user can use any secret to forge a JWT token. The vulnerability has been fixed in…
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v2.10.10. No known workarounds are available.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Detects unauthorized successful logons resulting from improper authentication implementations.
Documented procedures ensure personnel are trained on authentication mechanisms, tangibly lowering the risk of improper authentication being exploited.
Security awareness training instructs users on secure authentication practices and avoiding credential compromise.
Training on authentication mechanisms and best practices decreases the occurrence of improper authentication.
Non-repudiation requires strong authentication mechanisms to irrefutably attribute performed actions to specific individuals or processes.
Session content review can reveal authentication bypasses or failures in session establishment.
Review of authentication-related audit records can detect improper authentication mechanisms or bypasses.
Assessments check authentication mechanisms for correct implementation and effectiveness, reducing successful authentication bypass attempts.