Azure Databricks
Monthly
Server-side request forgery in Azure Databricks enables unauthenticated remote attackers to achieve full privilege escalation with critical impact across confidentiality, integrity, and availability. The vulnerability carries a maximum CVSS 10.0 score with network-based attack vector, low complexity, and scope change, indicating attackers can leverage the SSRF to break out of Databricks' security boundary and access underlying cloud infrastructure or customer data. No public exploit or active exploitation confirmed at time of analysis, though the low attack complexity suggests straightforward exploitation once attack surface is identified.
Server-side request forgery in Azure Databricks enables unauthenticated remote attackers to achieve full privilege escalation with critical impact across confidentiality, integrity, and availability. The vulnerability carries a maximum CVSS 10.0 score with network-based attack vector, low complexity, and scope change, indicating attackers can leverage the SSRF to break out of Databricks' security boundary and access underlying cloud infrastructure or customer data. No public exploit or active exploitation confirmed at time of analysis, though the low attack complexity suggests straightforward exploitation once attack surface is identified.