{"data":{"id":"006b9355-88af-4546-bd4f-dde97d06df86","title":"CVE-2024-37052: Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling…","summary":"CVE-2024-37052 affects the MLflow platform in versions 1.1.0 and newer. Deserialization of untrusted data lets a maliciously uploaded 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-2024-37052","publishedAt":"2024-06-04T16:15:10.413Z","cveId":"CVE-2024-37052","cweIds":["CWE-502","CWE-502"],"cvssScore":"8.8","cvssSeverity":"high","severity":"high","attackType":["supply_chain"],"issueType":"vulnerability","affectedPackages":["mlflow@>= 1.1.0, <= 2.14.1"],"affectedPackageNames":["mlflow"],"affectedPackageRefs":["pypi:mlflow"],"affectedVendors":["HuggingFace"],"affectedVendorsRaw":["MLflow","scikit-learn"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":"MLflow deserialization of untrusted data via uploaded scikit-learn model","headlinePromptVersion":"h1","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00688,"epssCheckedAt":"2026-11-04T12:08:35.001Z","kevDateAdded":null,"advisoryAliases":["GHSA-76cg-cfhx-373f"],"affectedPackagesSource":"ghsa","affectedPackagesCheckedAt":"2026-10-10T03:55:56.116Z","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":0.9,"researchCategory":null,"atlasIds":["AML.T0010"],"fixes":[]}}