CVE-2026-32207: Improper neutralization of input during web page generation ('cross-site scripting') in Azure Machine Learning
CVE-2026-32207 is a high-severity flaw (CVSS 8.8) affecting azure machine learning. Below: why it ranks where it does, which versions are affected, what to do, and the exact commands.
Improper neutralization of input during web page generation ('cross-site scripting') in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network.
Why this priority
- High severity
- On your watchlist
No fix is published yet: follow the downgrade or mitigation steps.
Risk facts
| CVSS score | 8.8 (High) |
| Attack vector | Network (remote) |
| Attack complexity | Low |
| Privileges needed | None |
| User interaction | Required |
| EPSS exploit chance | 0.6% (top 53%) |
| CISA exploited list | No |
| Weakness | CWE-79 |
| Published | 2026-05-07 |
| Last modified | 2026-10-26 |
Last updated 2026-10-26 · Sources: CVE Program, NVD, CISA KEV, EPSS and vendor advisories · How we score
Am I affected?
Timeline
- Published CVE record published
- Updated Record last modified
Scores and fixes here are computed automatically from those and other public sources. Confirm with the vendor advisory before changing production systems.
Quick answers
How do I fix CVE-2026-32207?
azure machine learning: mitigate or apply the listed mitigation. Exact commands for each OS are on this page.
Is CVE-2026-32207 being exploited?
CVE-2026-32207 is not on the CISA Known Exploited Vulnerabilities list at the time of the last update. Check again, as this can change.
What does CVE-2026-32207 affect?
CVE-2026-32207 affects azure machine learning. Severity is high (CVSS 8.8). Improper neutralization of input during web page generation ('cross-site scripting') in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network.
How urgent is CVE-2026-32207?
Priority 48/100. High severity; On your watchlist
Software pages
Related CVEs
- CVE-2026-33833 HIGH 8.2 DOWNGRADE Improper neutralization of special elements in output used by a downstream component ('injection') in Azure Ma