CVE-2025-59048

Oct. 23, 2025, 4:16 p.m.

8.1
High

Description

OpenBao's AWS Plugin generates AWS access credentials based on IAM policies. Prior to version 0.1.1, the AWS Plugin is vulnerable to cross-account IAM role Impersonation in the AWS auth method. The vulnerability allows an IAM role from an untrusted AWS account to authenticate by impersonating a role with the same name in a trusted account, leading to unauthorized access. This impacts all users of the auth-aws plugin who operate in a multi-account AWS environment where IAM role names may not be unique across accounts. This vulnerability has been patched in version 0.1.1 of the auth-aws plugin. A workaround for this issue involves guaranteeing that IAM role names are unique across all AWS accounts that could potentially interact with your OpenBao environment, and to audit for any duplicate IAM roles.

Product(s) Impacted

Vendor Product Versions
Openbao
  • Auth-aws Plugin
  • <0.1.1

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-694
Use of Multiple Resources with Duplicate Identifier
The product uses multiple resources that can have the same identifier, in a context in which unique identifiers are required.

*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 openbao auth-aws_plugin <0.1.1 / / / / / / /

CVSS Score

8.1 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: Oct. 23, 2025, 4:16 p.m.
Last Modified: Oct. 23, 2025, 4:16 p.m.

Status : Received

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

More info

Source

security-advisories@github.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.