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CVE-2026-2472 — google-cloud-aiplatform

Fix: googleapis/python-aiplatform@8a00d43

CVE-2026-2472 is a Cross-site Scripting (XSS) vulnerability in google-cloud-aiplatform. 1 public exploit or proof-of-concept reference is indexed, so weaponization risk is real. A fix is available for google-cloud-aiplatform — see the affected versions and patch details below.

Google Cloud Vertex AI SDK affected by Stored Cross-Site Scripting (XSS)

Also known asPYSEC-2026-2499
Published
Updated
Affected
1 pkg
Patched
1 / 1
Exploits
1 known
Exploitation data as of Nov 8, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

  • A successful exploit gives an attacker total control of the affected component, not partial access.
  • CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.

Exploitation and automatability from CISA’s SSVC triage for CVE-2026-2472.

EPSS Exploitation Probability

via FIRST.org ↗
0.6%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs49th percentile — riskier than 49% of all scored CVEsHighest risk
0.00%0.37%0.74%1.11%0.1%0.6%May 26Sep 26Nov 26

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

Real-World Exposure

1 pkg affected
🐍google-cloud-aiplatform

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Stored Cross-Site Scripting (XSS) in the _genai/_evals_visualization component of Google Cloud Vertex AI SDK (google-cloud-aiplatform) versions from 1.98.0 up to (but not including) 1.131.0 allows an unauthenticated remote attacker to execute arbitrary JavaScript in a victim's Jupyter or Colab environment via injecting script escape sequences into model evaluation results or dataset JSON data.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIgoogle-cloud-aiplatform≥ 1.98.0&&< 1.131.01.131.0pip install --upgrade 'google-cloud-aiplatform==1.131.0'
Exploits & PoCs
1

Research use only. For defensive security, authorized penetration testing, and academic research only. Never execute exploit code against systems without explicit written authorization.

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for google-cloud-aiplatform, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update google-cloud-aiplatform to 1.131.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-2472 is resolved across your whole dependency graph.

  3. Workarounds

    Escape or sanitise the affected output on the server side rather than relying on client-side filtering, and add a Content-Security-Policy that blocks inline script execution so injected markup cannot run even if it reaches the page.

Fixing This On Your OS

If you run this on a Linux distribution, patch through your package manager against the distro's own security advisory below — it tracks the exact backported fix for your release, which can ship on a different timeline (and sometimes a different severity) than the upstream project.

Red HatImportant
Workaround published by Red Hat
Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.
Source: Red Hat security advisory for CVE-2026-2472 (CC BY 4.0)
ProductFixed inAdvisory
Red Hat OpenShift AI 2.25rhoai/odh-llama-stack-core-rhel9:1775144403RHSA-2026:10184

Frequently Asked Questions

Stored Cross-Site Scripting (XSS) in the _genai/_evals_visualization component of Google Cloud Vertex AI SDK (google-cloud-aiplatform) versions from 1.98.0 up to (but not including) 1.131.0 allows an unauthenticated remote attacker to execute arbitrary JavaScript in a victim's Jupyter or Colab environment via injecting script escape sequences into model evaluation results or dataset JSON data.
O3 Security · Impact-Aware SCA

Is CVE-2026-2472 in your dependencies?

Find it across PyPI, including transitive dependencies.

CVE-2026-2472: google-cloud XSS — Fixed in 1.131.0