CVE-2025-50066

July 16, 2025, 4:15 p.m.

2.7
Low

Description

Vulnerability in the Oracle Database Materialized View component of Oracle Database Server. Supported versions that are affected are 19.3-19.27, 21.3-21.18 and 23.4-23.8. Easily exploitable vulnerability allows high privileged attacker having Execute on DBMS_REDEFINITION privilege with network access via Oracle Net to compromise Oracle Database Materialized View. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle Database Materialized View accessible data. CVSS 3.1 Base Score 2.7 (Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:L/A:N).

Product(s) Impacted

Vendor Product Versions
Oracle
  • Oracle Database Server
  • 19.3-19.27, 21.3-21.18, 23.4-23.8

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-269
Improper Privilege Management
The product does not properly assign, modify, track, or check privileges for an actor, creating an unintended sphere of control for that actor.

*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 oracle_database_server 19.3-19.27 / / / / / / /
a oracle oracle_database_server 21.3-21.18 / / / / / / /
a oracle oracle_database_server 23.4-23.8 / / / / / / /

CVSS Score

2.7 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: July 15, 2025, 8:15 p.m.
Last Modified: July 16, 2025, 4:15 p.m.

Status : Awaiting Analysis

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.