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Privacy Statement Third-Party Cookies Accept Reject Manage cookies MSRC  Customer Guidance  Security Update Guide  Vulnerabilities  CVE-2026-33833 Azure Machine Learning Notebook Spoofing Vulnerability New On this page  CVE-2026-33833  Subscribe RSS PowerShell  API  CSAF Security Vulnerability Released: May 12, 2026 Assigning CNA Microsoft CVE.org link CVE-2026-33833  Impact Spoofing Max Severity Important Weakness CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') CVSS Source Microsoft Vector String CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:N/E:U/RL:O/RC:C Metrics CVSS:3.1 8.2 / 7.1  Base score metrics: 8.2 / Temporal score metrics: 7.1  Expand all  Collapse all Metric Value   Base score metrics(8) Attack Vector Network Attack Complexity Low Privileges Required None User Interaction Required Scope Changed Confidentiality High Integrity Low Availability None   Temporal score metrics(3) Exploit Code Maturity Unproven Remediation Level Official Fix Report Confidence Confirmed Please see Common Vulnerability Scoring System for more information on the definition of these metrics. Executive Summary Improper neutralization of special elements in output used by a downstream component ('injection') in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network. Exploitability The following table provides an exploitability assessment for this vulnerability at the time of original publication. Publicly disclosed No Exploited No Exploitability assessment Exploitation Less Likely FAQ According to the CVSS metrics, successful exploitation of this vulnerability could lead to major loss of confidentiality (C:H), and some loss of integrity (I:L), but no loss of availability (A:N). What does that mean for this vulnerability? An attacker who successfully exploited this vulnerability could view sensitive information, (Confidentiality), and make some changes to disclosed information (Integrity), but they would not be able to affect Availability. According to the CVSS metric, user interaction is required (UI:R). What interaction would the user have to do? Exploitation would require a user to open or view a maliciously crafted notebook so that the affected content is rendered. How could an attacker exploit this vulnerability? An attacker could create or import a specially crafted Azure ML notebook containing malicious styling content in a Markdown cell, which may be rendered when the notebook is viewed and could expose sensitive information displayed within the Azure ML web interface. According to the CVSS metric, a successful exploitation could lead to a scope change (S:C). What does this mean for this vulnerability? An exploited vulnerability can affect resources beyond the security scope managed by the security authority of the vulnerable component. In this case, the vulnerable component and the impacted component are different and managed by different security authorities. Acknowledgements Jianyang Song Microsoft recognizes the efforts of those in the security community who help us protect customers through coordinated vulnerability disclosure. See Acknowledgements for more information. Security Updates To determine the support lifecycle for your software, see the Microsoft Support Lifecycle. Release date Descending  Edit columns  Download  Filters  Product Family  Max Severity  Impact  Platform   Clear Release date  Product Platform Impact Max Severity Article Download Build Number Assigning CNA Customer Action Required Title: Release date, Content: May 12, 2026 Azure Machine Learning - Spoofing Important Title: Knowledge Base Articles for Azure Machine Learning, Content:, 1 link Release Notes  Title: Download Security Update for Azure Machine Learning, Content:, 1 link Security Update  Title: Build numbers, Content: 1.7.6 Title: Assigning CNA, Content: Microsoft Title: Customer action required, Content: Required All results loaded Loaded all 1 rows Disclaimer The information provided in the Microsoft Knowledge Base is provided "as is" without warranty of any kind. Microsoft disclaims all warranties, either express or implied, including the warranties of merchantability and fitness for a particular purpose. In no event shall Microsoft Corporation or its suppliers be liable for any damages whatsoever including direct, indirect, incidental, consequential, loss of business profits or special damages, even if Microsoft Corporation or its suppliers have been advised of the possibility of such damages. Some states do not allow the exclusion or limitation of liability for consequential or incidental damages so the foregoing limitation may not apply. Revisions version revisionDate description 1.0 May 12, 2026 Information published.  How satisfied are you with the MSRC Security Update Guide? Rating  Broken  Bad  Below average  Average  Great!  Your Privacy Choices Consumer Health Privacy