CVE-2025-32800

June 16, 2025, 9:15 p.m.

7.2
High

Description

Conda-build contains commands and tools to build conda packages. Prior to version 25.3.0, the pyproject.toml lists conda-index as a Python dependency. This package is not published in PyPI. An attacker could claim this namespace and upload arbitrary (malicious) code to the package, and then exploit pip install commands by injecting the malicious dependency in the solve. This issue has been fixed in version 25.3.0. A workaround involves using --no-deps for pip install-ing the project from the repository.

Product(s) Impacted

Vendor Product Versions
Anaconda
  • Conda-build
  • <25.3.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-1357
Reliance on Insufficiently Trustworthy Component
The product is built from multiple separate components, but it uses a component that is not sufficiently trusted to meet expectations for security, reliability, updateability, and maintainability.

*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 anaconda conda-build <25.3.0 / / / / / / /

CVSS Score

7.2 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: HIGH
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: UNREPORTED
  • CVSS:4.0/AV:N/AC:H/AT:N/PR:N/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: June 16, 2025, 9:15 p.m.
Last Modified: June 16, 2025, 9:15 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.