{"data":{"id":"ae3fd6e0-0975-43b2-9bb6-aad097bd07a7","title":"CVE-2024-27132: Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe.\n\nThis issue leads to a client-side RC","summary":"MLflow has a vulnerability (CVE-2024-27132) where template variables are not properly sanitized, allowing XSS (cross-site scripting, where malicious code runs in a user's browser) when running an untrusted recipe in Jupyter Notebook. This can lead to client-side RCE (remote code execution, where an attacker can run commands on the user's computer) through insufficient input cleaning.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2024-27132","publishedAt":"2024-02-24T03:15:55.077Z","cveId":"CVE-2024-27132","cweIds":["CWE-79"],"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":0.00179,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-198","CAPEC-86"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","confidentiality"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null}}