Security readout for executives and security teams
Plain-English summary
A critical Azure Databricks flaw could let an unauthenticated network attacker abuse server-side requests and gain elevated privileges. Successful exploitation could severely affect data confidentiality, integrity, and availability. The supplied sources do not identify affected versions or required configurations.
Executive priority
Treat this as an immediate priority for Azure Databricks owners. Establish exposure and remediation status promptly, assign accountable owners, and track completion. Avoid claiming compromise solely from vulnerability presence; investigate only where telemetry or Microsoft guidance indicates concern.
Technical view
CVE-2026-33107 is a CWE-918 server-side request forgery vulnerability in Azure Databricks. It is remotely reachable, requires no privileges or user interaction, and has low attack complexity. Its CVSS 3.1 score is 10.0 with changed scope and high confidentiality, integrity, and availability impacts.
Likely exposure
Organizations using Azure Databricks may be exposed, but the bundle provides no affected version range, regions, configurations, or CPEs. Inventory Azure Databricks deployments and compare their service or remediation status with Microsoft's current advisory.
Exploitation context
The supplied record does not establish active exploitation. It is not listed as KEV in the bundle, and the CVSS exploit-maturity value is unproven. However, remote unauthenticated access, low complexity, and potential privilege elevation make rapid defensive action appropriate.
Researcher notes
The record supplies a CVSS vector and CWE classification but no affected versions, prerequisites, technical root cause, indicators, or remediation details. The MSRC reference is tagged as a patch source, yet the bundle does not describe the fix. Further conclusions require the live vendor advisory.
Mitigation direction
Review the current Microsoft advisory for affected scope and vendor-required remediation.
Confirm whether Microsoft has automatically remediated each Azure Databricks workspace or requires customer action.
Apply vendor-provided updates or configuration changes within an emergency change window.
Use compensating access controls only if Microsoft explicitly recommends them.
Validation and detection
Inventory all Azure Databricks workspaces, subscriptions, regions, and responsible owners.
Compare each deployment's status against the current Microsoft advisory.
Verify remediation completion using Microsoft-provided evidence or service-health information.
Review audit and network logs for anomalous requests or privilege changes; no source-provided indicators are available.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Potential ATT&CK relevance
Conservative CVE-to-ATT&CK context
These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.
ATT&CK lookup starting points
Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.
cwe · medium confidence lookup
CWE-918: Information exposure and cloud metadata lookup
Information exposure and SSRF weaknesses can make discovery, cloud metadata, and credential material review relevant. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.
The CVE wording references privilege impact, so privilege escalation and authorization behavior review may help. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.
The CVE wording references SSRF or metadata access, so cloud discovery and credential material review may help. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.
These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
1CVSS vectors
3Timeline events
1ADP providers
2Source links
SSVC decision data
CISA-ADPCISA Coordinator
Timestamp
Version
2.0.3
Exploitation: noneAutomatable: yesTechnical Impact: total
CVSS vector scores
1 official score
We collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
CWE-918 · source CWE mapping
Server-Side Request Forgery (SSRF)
Server-Side Request Forgery (SSRF) represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.