CVE-2026-46978

June 17, 2026, 6:18 p.m.

10.0
Critical

Description

Vulnerability in the Oracle Solaris product of Oracle Systems (component: Remote Administration Daemon). The supported version that is affected is 11.4. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTPS to compromise Oracle Solaris. While the vulnerability is in Oracle Solaris, 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 Solaris accessible data as well as unauthorized access to critical data or complete access to all Oracle Solaris accessible data. CVSS 3.1 Base Score 10.0 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:N).

Product(s) Impacted

Vendor Product Versions
Oracle
  • Solaris
  • Remote Administration Daemon
  • 11.4
  • *

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
o oracle solaris 11.4 / / / / / / /
a oracle remote_administration_daemon / / / / / / / /

CVSS Score

10.0 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: June 17, 2026, 10:54 a.m.
Last Modified: June 17, 2026, 6:18 p.m.

Status : Awaiting Analysis

CVE has been marked for Analysis. Normally once in this state the CVE will be analyzed by NVD staff within 24 hours.

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.