CVE-2025-62288

Oct. 21, 2025, 9:15 p.m.

4.9
Medium

Description

Vulnerability in the Oracle Health Sciences Data Management Workbench product of Oracle Health Sciences Applications (component: Logger). Supported versions that are affected are 3.4.0.1.3 and 3.4.1.0.10. Easily exploitable vulnerability allows high privileged attacker with network access via HTTP to compromise Oracle Health Sciences Data Management Workbench. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Health Sciences Data Management Workbench accessible data. CVSS 3.1 Base Score 4.9 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N).

Product(s) Impacted

Vendor Product Versions
Oracle
  • Health Sciences Data Management Workbench
  • 3.4.0.1.3, 3.4.1.0.10

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-267
Privilege Defined With Unsafe Actions
A particular privilege, role, capability, or right can be used to perform unsafe actions that were not intended, even when it is assigned to the correct entity.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a oracle health_sciences_data_management_workbench 3.4.0.1.3 / / / / / / /
a oracle health_sciences_data_management_workbench 3.4.1.0.10 / / / / / / /

CVSS Score

4.9 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: HIGH
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N

    View Vector String

Timeline

Published: Oct. 21, 2025, 8:20 p.m.
Last Modified: Oct. 21, 2025, 9:15 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

secalert_us@oracle.com

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.