{"data":{"id":"56c93900-2621-4b40-b64c-1fc79887bb11","title":"CVE-2024-3573: mlflow/mlflow is vulnerable to Local File Inclusion (LFI) due to improper parsing of URIs, allowing attackers to bypass ","summary":"MLflow (a machine learning platform) has a vulnerability where its URI parsing function incorrectly classifies certain file paths as non-local, allowing attackers to read sensitive files they shouldn't access. By crafting malicious model versions with specially crafted parameters, attackers can bypass security checks and read arbitrary files from the system.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2024-3573","publishedAt":"2024-04-16T04:15:12.570Z","cveId":"CVE-2024-3573","cweIds":["CWE-29","CWE-22"],"cvssScore":"9.3","cvssSeverity":"critical","severity":"critical","attackType":["data_extraction"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["HuggingFace"],"affectedVendorsRaw":["MLflow"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.0026,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-126"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}