Google Cloud Vertex AI Experiments up to 1.132.x Bucket Naming generation of predictable numbers or identifiers

Summaryinfo

A vulnerability marked as very critical has been reported in Google Cloud Vertex AI Experiments up to 1.132.x. The impacted element is an unknown function of the component Bucket Naming Handler. Performing a manipulation results in generation of predictable numbers or identifiers. This vulnerability is identified as CVE-2026-2473. The attack can be initiated remotely. There is not any exploit available. This product is a managed service. This means that users are not able to maintain vulnerability countermeasures themselves. It is suggested to upgrade the affected component.

Detailsinfo

A vulnerability classified as very critical has been found in Google Cloud Vertex AI Experiments up to 1.132.x. This affects an unknown code of the component Bucket Naming Handler. The manipulation with an unknown input leads to a generation of predictable numbers or identifiers vulnerability. CWE is classifying the issue as CWE-340. The product uses a scheme that generates numbers or identifiers that are more predictable than required. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

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.

It is possible to read the advisory at docs.cloud.google.com. This vulnerability is uniquely identified as CVE-2026-2473 since 02/13/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 02/20/2026). The attack technique deployed by this issue is T1600.001 according to MITRE ATT&CK.

Upgrading to version 1.133.0 eliminates this vulnerability.

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Productinfo

Type

• Cloud Software

Vendor

• Google Cloud

Name

• Vertex AI Experiments

Version

• 1.132

License

• free

Managed Service

• yes

CPE 2.3info

• 🔒

CPE 2.2info

• 🔒

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