CVE-2025-47271

May 12, 2025, 5:32 p.m.

6.3
Medium

Description

The OZI action is a GitHub Action that publishes releases to PyPI and mirror releases, signature bundles, and provenance in a tagged release. In versions 1.13.2 through 1.13.5, potentially untrusted data flows into PR creation logic. A malicious actor could construct a branch name that injects arbitrary code. This is patched in 1.13.6. As a workaround, one may downgrade to a version prior to 1.13.2.

Product(s) Impacted

Vendor Product Versions
Github
  • Ozi Action
  • 1.13.2-1.13.5, 1.13.6

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-94
Improper Control of Generation of Code ('Code Injection')
The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment.

*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 github ozi_action 1.13.2-1.13.5 / / / / / / /
a github ozi_action 1.13.6 / / / / / / /

CVSS Score

6.3 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: UNREPORTED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:U/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: May 12, 2025, 11:15 a.m.
Last Modified: May 12, 2025, 5:32 p.m.

Status : Awaiting Analysis

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.