Vulnerability · Published May 12, 2026 · Assigned by microsoft
CVE-2026-33833Azure Machine Learning Notebook Spoofing Vulnerability
High 8.2
In plain English
A high-severity injection in Azure Machine Learning from Microsoft. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.5% (higher than 43% of all known vulnerabilities).
Severity (CVSS 3.1)8.2High
Exploit odds (30 days)0.5%top 57.1% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known
Official description
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.
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| Microsoft | Azure Machine Learning | 3.0.0 – before 1.7.6 |
Weakness: CWE-74 · Vector: 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
References
- Azure Machine Learning Notebook Spoofing Vulnerability vendor-advisory, patch