CVE-2026-46823

May 29, 2026, 8:47 p.m.

7.7
High

Description

Vulnerability in the Oracle Public Sector Financials (International) product of Oracle E-Business Suite (component: Authorization). Supported versions that are affected are 12.2.6-12.2.15. Easily exploitable vulnerability allows low privileged attacker with network access via HTTPS to compromise Oracle Public Sector Financials (International). While the vulnerability is in Oracle Public Sector Financials (International), attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Public Sector Financials (International) accessible data. CVSS 3.1 Base Score 7.7 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N).

Product(s) Impacted

Vendor Product Versions
Oracle
  • Public Sector Financials
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-863
Incorrect Authorization
The product performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check. This allows attackers to bypass intended access restrictions.

*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 public_sector_financials / / / / / / / /

CVSS Score

7.7 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: May 28, 2026, 9:16 p.m.
Last Modified: May 29, 2026, 8:47 p.m.

Status : Analyzed

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

More info

*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.