CVE-2025-49002 (GCVE-0-2025-49002)

Vulnerability from cvelistv5 – Published: 2025-06-03 20:37 – Updated: 2025-06-04 13:50
VLAI Previdian
Title
Dataease H2 Database Remote Code Execution (RCE) Bypass Vulnerability
Summary
DataEase is an open source business intelligence and data visualization tool. Versions prior to version 2.10.10 have a flaw in the patch for CVE-2025-32966 that allow the patch to be bypassed through case insensitivity because INIT and RUNSCRIPT are prohibited. The vulnerability has been fixed in v2.10.10. No known workarounds are available.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-06-04 13:50 UTC
CWE
  • CWE-290 - Authentication Bypass by Spoofing
References
Impacted products
Vendor Product Version
dataease dataease Affected: < 2.10.10
Create a notification for this product.
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant

Vulnerability ID: CVE-2025-49002

Status: Confirmed

Status Updated: 2026-10-05 02:00 CEST

Exploited: Yes


Timestamps
First Seen: 2026-10-05
Asserted: 2026-10-05

Scope
Notes: Dataease H2 Database Remote Code Execution (RCE) Bypass Vulnerability | Affected: Dataease / dataease | CVSS: 8.2 (HIGH) | EPSS: 0.49985 | Used in malware: unknown | Not yet in CISA KEV: True

Evidence

Type: Public Report

Signal: Successful Exploitation

Confidence: 70%

Source: previdian


Details
Feed Previdian (previdian.com)
Title Dataease H2 Database Remote Code Execution (RCE) Bypass Vulnerability
Cve Id CVE-2025-49002
Vendor Dataease
Ghsa Id None
Product dataease
Added Date 2026-10-05T00:00:00.000Z
Cvss Score 8.2
Epss Score 0.49985
Previous Ids
Cvss Severity HIGH
Virtual Patch False
Cvss Estimated False
Epss Percentile 0.98873
Used In Malware unknown
Vulnerability Id CVE-2025-49002
Ahead Of Cisa Kev None
Not Yet In Cisa Kev True

References

Created: 2026-10-07 06:43 CEST | Updated: 2026-10-07 06:43 CEST
Show details on NVD website

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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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