CVE-2026-33107
Server-Side Request Forgery in Azure Databricks Enables Privilege Escalation
Publication date: 2026-04-03
Last updated on: 2026-04-06
Assigner: Microsoft Corporation
Description
Description
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| microsoft | azure_databricks | * |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-918 | The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. |
Attack-Flow Graph
AI Powered Q&A
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
The vulnerability is a critical server-side request forgery (SSRF) in Azure Databricks that allows an unauthorized attacker to elevate privileges over a network.
Such an elevation of privilege could potentially lead to unauthorized access to sensitive data, which may impact compliance with standards and regulations like GDPR and HIPAA that require protection of personal and health information.
However, there is no specific information provided about direct effects on compliance with these standards in the available resources.
Can you explain this vulnerability to me?
This vulnerability is a server-side request forgery (SSRF) issue in Azure Databricks. It allows an unauthorized attacker to send crafted requests from the server, potentially manipulating the system to perform actions or access resources that should be restricted.
Specifically, this SSRF vulnerability enables the attacker to elevate their privileges over a network, gaining higher access rights than intended.
How can this vulnerability impact me? :
The impact of this vulnerability is critical as it allows an attacker to elevate their privileges without any user interaction or prior privileges.
- An attacker can gain unauthorized access to sensitive data or systems.
- It can lead to complete compromise of the affected Azure Databricks environment.
- Confidentiality, integrity, and availability of data and services can be severely affected.