{"data":{"id":"585ef0e8-2587-40ea-adcf-dce2b8b9ecf2","title":"CVE-2023-6568: A reflected Cross-Site Scripting (XSS) vulnerability exists in the mlflow/mlflow repository, specifically within the han","summary":"MLflow, an open-source machine learning platform, has a reflected XSS (cross-site scripting, where an attacker injects malicious JavaScript that runs in a victim's browser) vulnerability in how it handles the Content-Type header in POST requests. An attacker can craft a malicious Content-Type header that gets sent back to the user without proper filtering, allowing arbitrary JavaScript code to execute in the victim's browser.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2023-6568","publishedAt":"2023-12-07T10:15:09.347Z","cveId":"CVE-2023-6568","cweIds":["CWE-79","CWE-79"],"cvssScore":"6.1","cvssSeverity":"medium","severity":"medium","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":0.33351,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-198","CAPEC-86"],"crossRefCount":0,"attackSophistication":"trivial","impactType":["integrity"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null}}