{"data":{"id":"31ea2fa8-d4f8-4508-af9e-4d47838ed517","title":"CVE-2022-0736: Insecure Temporary File in GitHub repository mlflow/mlflow prior to 1.23.1.","summary":"MLflow, a machine learning platform, had an insecure temporary file vulnerability (CWE-377, a weakness where temporary files are created without proper security protections) in versions before 1.23.1. This vulnerability could potentially allow attackers to access or modify sensitive data stored in temporary files.","solution":"Update MLflow to version 1.23.1 or later. A patch is available at https://github.com/mlflow/mlflow/commit/61984e6843d2e59235d82a580c529920cd8f3711.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2022-0736","publishedAt":"2022-02-23T14:15:14.420Z","cveId":"CVE-2022-0736","cweIds":["CWE-377"],"cvssScore":"7.5","cvssSeverity":"high","severity":"high","attackType":["other"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["MLflow"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00627,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"trivial","impactType":["integrity","confidentiality"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null}}