CVE-2025-64343

Nov. 7, 2025, 6:15 a.m.

7.8
High

Description

(conda) Constructor is a tool that enables users to create installers for conda package collections. In versions 3.12.2 and below, the installation directory inherits permissions from its parent directory. Outside of restricted directories, the permissions are very permissive and often allow write access by authenticated users. Any logged in user can make modifications during the installation for both single-user and all-user installations. This constitutes a local attack vector if the installation is in a directory local users have access to. For single-user installations in a shared directory, these permissions persist after the installation. This issue is fixed in version 3.13.0.

Product(s) Impacted

Vendor Product Versions
Conda
  • Constructor
  • <3.12.2, 3.12.2, 3.13.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-289
Authentication Bypass by Alternate Name
The product performs authentication based on the name of a resource being accessed, or the name of the actor performing the access, but it does not properly check all possible names for that resource or 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 conda constructor <3.12.2 / / / / / / /
a conda constructor 3.12.2 / / / / / / /
a conda constructor 3.13.0 / / / / / / /

CVSS Score

7.8 / 10

CVSS Data - 3.1

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

    View Vector String

Timeline

Published: Nov. 7, 2025, 6:15 a.m.
Last Modified: Nov. 7, 2025, 6:15 a.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.