{"description":"Trending threats, MITRE ATT\u0026CK coverage, and detection metadata — refreshed continuously.","feed_url":"https://feed.craftedsignal.io/tags/databricks/","home_page_url":"https://feed.craftedsignal.io/","items":[{"_cs_actors":[],"_cs_cves":[{"cvss":10,"id":"CVE-2026-33107"}],"_cs_exploited":false,"_cs_products":[],"_cs_severities":["critical"],"_cs_tags":["ssrf","azure","databricks","privilege-escalation"],"_cs_type":"advisory","_cs_vendors":[],"content_html":"\u003cp\u003eCVE-2026-33107 describes a critical server-side request forgery (SSRF) vulnerability affecting Azure Databricks. This vulnerability allows an unauthenticated attacker to potentially elevate their privileges within the network. Successful exploitation could allow an attacker to access sensitive data, modify configurations, or potentially gain complete control over the Databricks environment. The vulnerability was published on April 2nd, 2026. Due to the nature of SSRF, this vulnerability could be exploited remotely, making it a high-risk issue for organizations utilizing Azure Databricks. This vulnerability matters because it can lead to significant data breaches, service disruption, and compromise of sensitive resources managed within the Azure Databricks environment.\u003c/p\u003e\n\u003ch2 id=\"attack-chain\"\u003eAttack Chain\u003c/h2\u003e\n\u003col\u003e\n\u003cli\u003eThe attacker identifies an endpoint within the Azure Databricks environment vulnerable to SSRF.\u003c/li\u003e\n\u003cli\u003eThe attacker crafts a malicious HTTP request targeting an internal resource. The request is designed to exploit the SSRF vulnerability.\u003c/li\u003e\n\u003cli\u003eThe Databricks server, processing the crafted request, unwittingly sends it to the specified internal resource.\u003c/li\u003e\n\u003cli\u003eThe internal resource responds to the Databricks server with data intended only for internal consumption.\u003c/li\u003e\n\u003cli\u003eThe attacker leverages the SSRF vulnerability to bypass authentication or authorization checks, gaining access to the internal resource.\u003c/li\u003e\n\u003cli\u003eThe attacker escalates privileges by abusing the compromised internal resource or service. This may involve modifying configurations, accessing restricted data, or executing privileged commands.\u003c/li\u003e\n\u003cli\u003eThe attacker uses the elevated privileges to move laterally within the network, compromising additional resources.\u003c/li\u003e\n\u003cli\u003eThe attacker achieves their final objective, such as data exfiltration, denial of service, or complete control of the Azure Databricks environment.\u003c/li\u003e\n\u003c/ol\u003e\n\u003ch2 id=\"impact\"\u003eImpact\u003c/h2\u003e\n\u003cp\u003eSuccessful exploitation of CVE-2026-33107 could lead to significant privilege escalation within an Azure Databricks environment. An attacker could potentially gain unauthorized access to sensitive data, modify critical system configurations, or even achieve complete control over the Databricks cluster. This could result in data breaches, service disruptions, and substantial financial losses. The exact number of potential victims and the scope of the impact would depend on the specific configurations and data stored within the targeted Azure Databricks environment. Given the critical nature of Databricks for data analytics, the impact on organizations relying on this service can be substantial.\u003c/p\u003e\n\u003ch2 id=\"recommendation\"\u003eRecommendation\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003eApply the security update provided by Microsoft to patch CVE-2026-33107 immediately on all Azure Databricks instances.\u003c/li\u003e\n\u003cli\u003eImplement network segmentation to limit the impact of potential SSRF exploits.\u003c/li\u003e\n\u003cli\u003eDeploy the Sigma rule \u003ccode\u003eDetect Suspicious Databricks Outbound Connections\u003c/code\u003e to identify potential SSRF attempts.\u003c/li\u003e\n\u003cli\u003eMonitor webserver logs for unusual outbound connections originating from Azure Databricks servers.\u003c/li\u003e\n\u003cli\u003eReview and restrict access to internal resources within the Azure Databricks environment.\u003c/li\u003e\n\u003cli\u003eImplement strict input validation and sanitization on all user-supplied data to prevent SSRF attacks.\u003c/li\u003e\n\u003c/ul\u003e\n","date_modified":"2026-04-03T00:16:05Z","date_published":"2026-04-03T00:16:05Z","id":"/briefs/2026-04-azure-databricks-ssrf/","summary":"A server-side request forgery (SSRF) vulnerability, identified as CVE-2026-33107, exists in Azure Databricks, allowing an unauthorized attacker to elevate privileges over a network.","title":"Azure Databricks SSRF Vulnerability (CVE-2026-33107) Allows Privilege Escalation","url":"https://feed.craftedsignal.io/briefs/2026-04-azure-databricks-ssrf/"}],"language":"en","title":"CraftedSignal Threat Feed — Databricks","version":"https://jsonfeed.org/version/1.1"}