{"data":{"id":"81919161-7ef0-4c73-a128-4efc2944100c","title":"CVE-2024-49361: ACON is a widely-used library of tools for machine learning that focuses on adaptive correlation optimization. A…","summary":"CVE-2024-49361 affects the ACON machine learning library, specifically its input validation process. Malicious input can bypass that validation and lead to remote code execution in applications using ACON, with the greatest exposure for models or applications that ingest user-generated data without sanitization and for production servers.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2024-49361","publishedAt":"2024-10-18T19:15:14.393Z","cveId":"CVE-2024-49361","cweIds":["CWE-20"],"cvssScore":null,"cvssSeverity":null,"severity":"high","attackType":["other"],"issueType":"vulnerability","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["ACON"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":"ACON input validation flaw allows arbitrary code execution","headlinePromptVersion":"h1","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00734,"epssCheckedAt":"2026-11-04T12:08:33.690Z","kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":"2026-10-29T00:11:14.236Z","patchAvailable":null,"disclosureDate":null,"fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null,"fixes":[]}}