CVE-2026-34291

April 22, 2026, 9:24 p.m.

8.7
High

Description

Vulnerability in the Oracle HTTP Server product of Oracle Fusion Middleware (component: Core). Supported versions that are affected are 12.2.1.4.0 and 14.1.2.0.0. Difficult to exploit vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle HTTP Server. While the vulnerability is in Oracle HTTP Server, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle HTTP Server accessible data as well as unauthorized access to critical data or complete access to all Oracle HTTP Server accessible data. CVSS 3.1 Base Score 8.7 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:N).

Product(s) Impacted

Vendor Product Versions
Oracle
  • Oracle Http Server
  • 12.2.1.4.0, 14.1.2.0.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-284
Improper Access Control
The product does not restrict or incorrectly restricts access to a resource from an unauthorized 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_http_server 12.2.1.4.0 / / / / / / /
a oracle oracle_http_server 14.1.2.0.0 / / / / / / /

CVSS Score

8.7 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: April 21, 2026, 9:16 p.m.
Last Modified: April 22, 2026, 9:24 p.m.

Status : Undergoing Analysis

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.