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Fencer Vulns
high 7.7

CVE-2026-2473 json

Bucket Squatting in Vertex AI Experiments leads to RCE and Model Theft.

published 2026-02-20 8 mo ago modified 2026-09-10 1 mo ago also GHSA-wh2j-26j7-9728 , PYSEC-2026-2500 , EUVD-2026-7506

cvss
7.7
version 4.0, CNA
cisa kev
Not listed
not in CISA's catalog
epss
0.5%
EPSS 0.5% chance of exploitation in 30 days, percentile 43%
public exploits
0
none known

Summary

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.

Patch / fix

  • pypi google-cloud-aiplatform 1.133.0
  • Google Cloud Vertex AI Experiments 1.133.0

CISA SSVC

Exploitation
none
Automatable
no
Technical impact
total
Assessed
8 mo ago

Exploit prediction

0.51% chance of exploitation in the next 30 days, higher than 43% of all scored CVEs (FIRST EPSS, 2026-11-08).

CVSS scores

assigned by version score vector
CNA 4.0 7.7 CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/U:Clear
CNA 4.0 7.7 CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/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:Clear

Affected packages

ecosystem package affected fixed in
pypi google-cloud-aiplatform
>=1.21.0, <1.133.0
1.133.0

Affected products

  • Google Cloud Vertex AI Experiments

Classification

Weakness
  • CWE-340 Generation of Predictable Numbers or Identifiers

References

Sources

Fencer Vulns keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.