{"data":{"id":"ea9822a1-4828-4de3-b9e2-7549245ad2b8","title":"CVE-2025-54412: skops is a Python library which helps users share and ship their scikit-learn based models. Versions 0.11.0 and below co","summary":"skops is a Python library for sharing scikit-learn (a machine learning toolkit) based models. Versions 0.11.0 and below have a flaw in the OperatorFuncNode component that allows attackers to hide the execution of untrusted code, potentially leading to arbitrary code execution (running any commands on a system). This vulnerability can be exploited through code reuse attacks that make unsafe functions appear trustworthy.","solution":"Update to version 0.12.0, where this vulnerability is fixed.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-54412","publishedAt":"2025-07-26T08:16:06.597Z","cveId":"CVE-2025-54412","cweIds":["CWE-351"],"cvssScore":null,"cvssSeverity":null,"severity":"high","attackType":["model_theft"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["HuggingFace"],"affectedVendorsRaw":["skops"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00012,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality","integrity"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null}}