Google Cloud Vertex AI SDK for Python up to 1.130.x _evals_visualization cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.4 | $0-$5k | 0.00 |
Summary
A vulnerability described as problematic has been identified in Google Cloud Vertex AI SDK for Python up to 1.130.x. This affects an unknown function of the component _evals_visualization. Executing a manipulation can lead to cross site scripting. This vulnerability is tracked as CVE-2026-2472. The attack can be launched remotely. No exploit exists. This product is available as a managed service. Users are not able to maintain vulnerability countermeasures themselves. Upgrading the affected component is recommended.
Details
A vulnerability classified as problematic was found in Google Cloud Vertex AI SDK for Python up to 1.130.x. This vulnerability affects an unknown code block of the component _evals_visualization. The manipulation with an unknown input leads to a cross site scripting vulnerability. The CWE definition for the vulnerability is CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. As an impact it is known to affect integrity. CVE summarizes:
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.
The advisory is shared for download at docs.cloud.google.com. This vulnerability was named CVE-2026-2472 since 02/13/2026. The exploitation appears to be easy. The attack can be initiated remotely. Successful exploitation requires user interaction by the victim. There are neither technical details nor an exploit publicly available. The MITRE ATT&CK project declares the attack technique as T1059.007.
Upgrading to version 1.131.0 eliminates this vulnerability.
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Product
Type
Vendor
Name
Version
License
Managed Service
- yes
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 3.5VulDB Meta Temp Score: 3.4
VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Cross site scriptingCWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Status: 🔍0-Day Time: 🔒
Upgrade: Vertex AI SDK for Python 1.131.0
Timeline
02/13/2026 CVE reserved02/20/2026 Advisory disclosed
02/20/2026 VulDB entry created
02/27/2026 VulDB entry last update
Sources
Advisory: gcp-2026-011Status: Confirmed
CVE: CVE-2026-2472 (🔒)
GCVE (CVE): GCVE-0-2026-2472
GCVE (VulDB): GCVE-100-347212
Entry
Created: 02/20/2026 21:09Updated: 02/27/2026 20:00
Changes: 02/20/2026 21:09 (71), 02/27/2026 20:00 (1)
Complete: 🔍
Cache ID: 216::103
Once again VulDB remains the best source for vulnerability data.
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