CVE-2026-32207: Microsoft Azure Machine Learning · Cross-site Scripting
Affects Microsoft Azure Machine LearningSource CVE Database V5
Not known to be exploited · CVSS 8.8 High · patch available : patch Microsoft Azure Machine Learning soon.
Data as of 30 Oct 2026, 11:52 UTC
- EPSS
- 0.5% chance of exploitation in 30 days – higher than 47% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
- Patch
- Available
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H/E:U/RL:O/RC:CExploitation evidence
Disclosed: evidence found.
CVE published 7 May 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| MicrosoftAzure Machine Learning | Affected
| Fixed in– |
AI-suggested
Microsoft has provided an official fix for this vulnerability and manages remediation for Azure Machine Learning as a cloud service. Users should ensure their Azure Machine Learning instances are updated according to Microsoft's guidance available at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-32207. No additional user action is typically required beyond applying the official updates.
Description
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.