Azure Machine Learning Notebook Spoofing Vulnerability
Affects Microsoft Security Response Center Azure Machine LearningSource GCVE Database
Not known to be exploited · CVSS 8.8 High · patch available : patch Microsoft Security Response Center Azure Machine Learning soon.
Data as of 27 Oct 2026, 02:41 UTC
- 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
Weaponised: 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 26 Oct 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| MicrosoftAzure Machine Learning | Affected
| Fixed in– |
Description
CVE-2026-32207 is a spoofing vulnerability affecting Azure Machine Learning notebooks. The vulnerability is categorized under CWE-79, indicating a cross-site scripting (XSS) related issue. The severity is marked as critical, but no CVSS score is available.
References
- msrc.microsoft.com/update-guide/vulnerability/CVE-2026-32207 (opens in a new tab)
- msrc.microsoft.com/csaf/advisories/2026/msrc_cve-2026-32207.json (opens in a new tab)
- microsoft.com/en-us/msrc/exploitability-index?rtc=1 (opens in a new tab)
- support.microsoft.com/lifecycle (opens in a new tab)
- first.org/cvss (opens in a new tab)