A Server-Side Request Forgery (SSRF) vulnerability in Azure Databricks allows unauthenticated attackers to elevate privileges and access internal netw...
Description
A Server-Side Request Forgery (SSRF) vulnerability in Azure Databricks allows unauthenticated attackers to elevate privileges and access internal network resources.
AI Analyst Comment
Remediation
Update Azure Databricks allows to the latest version. Monitor for exploitation attempts and review access logs.
---METADATA---
VENDOR: Microsoft
PRODUCT: Azure Databricks
AFFECTED_VERSIONS: See vendor advisory
---END_METADATA---
Description Summary:
A Server-Side Request Forgery (SSRF) vulnerability in Azure Databricks allows unauthenticated attackers to elevate privileges and access internal network resources.
Executive Summary:
Azure Databricks is affected by a critical SSRF vulnerability that allows unauthenticated attackers to escalate privileges and gain unauthorized access to internal systems.
Vulnerability Details
CVE-ID: CVE-2026-33107
Affected Software: Microsoft Azure Databricks
Affected Versions: See vendor advisory
Vulnerability: This vulnerability involves a Server-Side Request Forgery (SSRF) flaw where the application can be coerced into making unauthorized requests. An unauthenticated attacker can leverage this to gain elevated privileges and interact with internal metadata services or other protected network resources.
Business Impact
A successful SSRF attack against Databricks can lead to the exposure of sensitive cloud credentials and internal network mapping. Given the CVSS score of 10.0, the risk includes full privilege escalation, allowing attackers to access, modify, or delete high-value data processed within Databricks clusters, leading to significant regulatory and operational risks.
Remediation Plan
Immediate Action: Update Azure Databricks to the latest version as specified in the Microsoft security advisory to remediate the SSRF vector.
Proactive Monitoring: Review outbound network logs from Databricks clusters for requests to internal IP addresses or metadata services (e.g., 169.254.169.254).
Compensating Controls: Implement egress filtering to restrict clusters from communicating with sensitive internal endpoints and use Azure Policy to enforce secure workspace configurations.
Exploitation Status
Public Exploit Available: No
Analyst Notes: As of April 3, 2026, no public exploits are known to be in use. SSRF in cloud environments is a high-value target for attackers looking to extract instance metadata and credentials.
Analyst Recommendation
The CVSS score of 10.0 demands immediate remediation. Administrators must ensure that their Databricks workspaces are updated and that network-level protections are in place to prevent SSRF-based credential theft. This is a critical security update that should be handled as an emergency change.