CVE-2026-2473
February 20, 2026
Predictable bucket naming in Vertex AI Experiments in Google Cloud Vertex AI from version 1.21.0 up to (but not including) 1.133.0 on Google Cloud Platform allows an unauthenticated remote attacker to achieve cross-tenant remote code execution, model theft, and poisoning via pre-creating predictably named Cloud Storage buckets (Bucket Squatting).
This vulnerability was patched and no customer action is needed.
Affected Packages
https://github.com/googleapis/python-aiplatform.git (GITHUB):
Affected version(s) >=v1.21.0 <v1.133.0Fix Suggestion:
Update to version v1.133.0google-cloud-aiplatform (PYTHON):
Affected version(s) >=1.21.0 <1.133.0Fix Suggestion:
Update to version 1.133.0Related Resources (4)
Do you need more information?
Contact UsCVSS v4
Base Score:
7.7
Attack Vector
NETWORK
Attack Complexity
LOW
Attack Requirements
PRESENT
Privileges Required
NONE
User Interaction
PASSIVE
Vulnerable System Confidentiality
HIGH
Vulnerable System Integrity
HIGH
Vulnerable System Availability
HIGH
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
8.8
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
REQUIRED
Scope
UNCHANGED
Confidentiality
HIGH
Integrity
HIGH
Availability
HIGH
Weakness Type (CWE)
Generation of Predictable Numbers or Identifiers
EPSS
Base Score:
0.21
