{"data":{"id":"45fde9d2-a260-45c9-84ba-1058cbb5b931","title":"CVE-2025-49746: Improper authorization in Azure Machine Learning allows an authorized attacker to elevate privileges over a network.","summary":"CVE-2025-49746 is a vulnerability in Azure Machine Learning where improper authorization (CWE-285, a flaw in how the system checks who is allowed to do what) allows someone who already has legitimate access to gain higher-level privileges over a network. This is categorized as a privilege escalation attack, where an authorized user exploits a weakness to gain permissions they shouldn't normally have.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-49746","publishedAt":"2025-07-18T17:15:43.300Z","cveId":"CVE-2025-49746","cweIds":["CWE-285"],"cvssScore":"9.9","cvssSeverity":"critical","severity":"critical","attackType":["other"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["Microsoft"],"affectedVendorsRaw":["Azure Machine Learning","Microsoft"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00126,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","confidentiality"],"aiComponentTargeted":"inference","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null}}