CVE-2026-68791High· 8.6▾ TwilightIncorrect authorization in Azure Machine Learning allows an unauthorized attacker to disclose information over a network.
▾ Twilight zone — High severity, or a signal on a lesser flaw
impact 47.3 · likelihood 0.1 · exploitation 0
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Stakeholder-Specific Vulnerability Categorization from CISA's ADP record at CVE.org: whether exploitation is observed, whether an attack can be automated, and how much of the system is at stake.
Exploit-prediction probability, daily snapshots since Sep 18.
Disclosure to exploitation, from the record and what we observed since indexing it.
Disclosed via NVD
0.6%
Last analysed / modified upstream
0.6% → 1.0%
Incorrect authorization in Azure Machine Learning allows an unauthorized attacker to disclose information over a network.
azure_machine_learningRefer to the linked advisories for vendor-supplied fixes and affected version ranges.
Connected by shared product, vendor, weakness, or advisory.
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