CVE-2026-33833Important
Azure Machine Learning Notebook Spoofing Vulnerability
Assessment
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.
- Severity
- Important
- CVSS base score
- 8.2CVSS:3.1/
AV:N/ AC:L/ PR:N/ UI:R/ S:C/ C:H/ I:L/ A:N/ E:U/ RL:O/ RC:C - Impact
- Spoofing
- EPSS, next 30 days
- 0.5%Higher than 43.3% of scored CVEs · FIRST model run 29 Sep 2026 · about EPSS
- Public exploit code
- No Nuclei template lists it
- Exploitability
- Exploitation Less Likely
- Publicly disclosed
- No
- Customer action
- Required: apply the update
- Component
- Azure Machine Learning
- Weakness
- CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
- Issued by
- Microsoft
- Published
- 12 May 2026 · May 2026
- Last revised
- 12 May 2026
Updates that fix it
0 KBsNo KB listed
MSRC lists no downloadable update, which usually means a service-side fix or a release-notes update. Check the MSRC advisory.