CVE-2023-30767

{"id": "CVE-2023-30767", "metrics": {"cvssMetricV31": [{"type": "Secondary", "source": "secure@intel.com", "cvssData": {"scope": "UNCHANGED", "version": "3.1", "baseScore": 5.5, "attackVector": "LOCAL", "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:U/C:L/I:H/A:L", "integrityImpact": "HIGH", "userInteraction": "REQUIRED", "attackComplexity": "HIGH", "availabilityImpact": "LOW", "privilegesRequired": "LOW", "confidentialityImpact": "LOW"}, "impactScore": 4.7, "exploitabilityScore": 0.8}]}, "published": "2024-02-14T14:15:50.013", "references": [{"url": "https://www.intel.com/content/www/us/en/security-center/advisory/intel-sa-00903.html", "source": "secure@intel.com"}], "vulnStatus": "Awaiting Analysis", "weaknesses": [{"type": "Secondary", "source": "secure@intel.com", "description": [{"lang": "en", "value": "CWE-92"}]}], "descriptions": [{"lang": "en", "value": "Improper buffer restrictions in Intel(R) Optimization for TensorFlow before version 2.13.0 may allow an authenticated user to potentially enable escalation of privilege via local access."}], "lastModified": "2024-02-14T15:01:51.137", "sourceIdentifier": "secure@intel.com"}