{"data":{"id":"275e8583-c55d-4637-901a-98027472da00","title":"CVE-2024-37056: Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.23.0 or newer…","summary":"CVE-2024-37056 affects the MLflow platform in versions 1.23.0 and newer. Deserialization of untrusted data lets a maliciously uploaded LightGBM scikit-learn model run arbitrary code on an end user's system when that model is interacted with. The weakness is classified as CWE-502, and NVD has not yet provided an assessment.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2024-37056","publishedAt":"2024-06-04T16:15:11.593Z","cveId":"CVE-2024-37056","cweIds":["CWE-502","CWE-502"],"cvssScore":"8.8","cvssSeverity":"high","severity":"high","attackType":["other"],"issueType":"vulnerability","affectedPackages":["mlflow@>= 1.23.0, <= 2.14.1"],"affectedPackageNames":["mlflow"],"affectedPackageRefs":["pypi:mlflow"],"affectedVendors":[],"affectedVendorsRaw":["MLflow","LightGBM","scikit-learn"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":"MLflow deserialization of untrusted data via uploaded LightGBM model","headlinePromptVersion":"h1","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00623,"epssCheckedAt":"2026-11-04T00:12:27.579Z","kevDateAdded":null,"advisoryAliases":["GHSA-7p8j-qv6x-f4g4"],"affectedPackagesSource":"ghsa","affectedPackagesCheckedAt":"2026-10-10T03:55:53.845Z","patchAvailable":null,"disclosureDate":null,"fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":["CAPEC-586"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null,"fixes":[]}}