CVE-2025-61774

Oct. 6, 2025, 11:15 p.m.

9.3
Critical

Description

PyVista provides 3D plotting and mesh analysis through an interface for the Visualization Toolkit (VTK). Version 0.46.3 of the PyVista Project is vulnerable to remote code execution via dependency confusion. Two pieces of code use`--extra-index-url`. But when `--extra-index-url` is used, pip always checks for the PyPI index first, and then the external index. One package listed in the code is not published in PyPI. If an attacker publishes a package with higher version in PyPI, the malicious code from the attacker controlled package may be pulled, leading to remote code execution and a supply chain attack. As of time of publication, a patched version is unavailable.

Product(s) Impacted

Vendor Product Versions
Pyvista
  • Pyvista
  • 0.46.3

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.

CVSS Score

9.3 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/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: Oct. 6, 2025, 11:15 p.m.
Last Modified: Oct. 6, 2025, 11:15 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.