{"resultsPerPage":1,"startIndex":0,"totalResults":1,"format":"NVD_CVE","version":"2.0","timestamp":"2026-04-18T08:05:27.795","vulnerabilities":[{"cve":{"id":"CVE-2025-15031","sourceIdentifier":"security@huntr.dev","published":"2026-03-18T23:17:28.693","lastModified":"2026-03-23T17:48:45.340","vulnStatus":"Analyzed","cveTags":[],"descriptions":[{"lang":"en","value":"A vulnerability in MLflow's pyfunc extraction process allows for arbitrary file writes due to improper handling of tar archive entries. Specifically, the use of `tarfile.extractall` without path validation enables crafted tar.gz files containing `..` or absolute paths to escape the intended extraction directory. This issue affects the latest version of MLflow and poses a high/critical risk in scenarios involving multi-tenant environments or ingestion of untrusted artifacts, as it can lead to arbitrary file overwrites and potential remote code execution."},{"lang":"es","value":"Una vulnerabilidad en el proceso de extracción pyfunc de MLflow permite escrituras arbitrarias de archivos debido a un manejo inadecuado de las entradas de archivos tar. Específicamente, el uso de 'tarfile.extractall' sin validación de ruta permite que archivos tar.gz manipulados que contienen '..' o rutas absolutas escapen del directorio de extracción previsto. Este problema afecta a la última versión de MLflow y plantea un riesgo alto/crítico en escenarios que involucran entornos multi-inquilino o la ingesta de artefactos no confiables, ya que puede conducir a sobrescrituras arbitrarias de archivos y potencial ejecución remota de código."}],"metrics":{"cvssMetricV31":[{"source":"nvd@nist.gov","type":"Primary","cvssData":{"version":"3.1","vectorString":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N","baseScore":9.1,"baseSeverity":"CRITICAL","attackVector":"NETWORK","attackComplexity":"LOW","privilegesRequired":"NONE","userInteraction":"NONE","scope":"UNCHANGED","confidentialityImpact":"HIGH","integrityImpact":"HIGH","availabilityImpact":"NONE"},"exploitabilityScore":3.9,"impactScore":5.2}],"cvssMetricV30":[{"source":"security@huntr.dev","type":"Secondary","cvssData":{"version":"3.0","vectorString":"CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N","baseScore":8.1,"baseSeverity":"HIGH","attackVector":"ADJACENT_NETWORK","attackComplexity":"LOW","privilegesRequired":"NONE","userInteraction":"NONE","scope":"UNCHANGED","confidentialityImpact":"HIGH","integrityImpact":"HIGH","availabilityImpact":"NONE"},"exploitabilityScore":2.8,"impactScore":5.2}]},"weaknesses":[{"source":"security@huntr.dev","type":"Secondary","description":[{"lang":"en","value":"CWE-22"}]}],"configurations":[{"nodes":[{"operator":"OR","negate":false,"cpeMatch":[{"vulnerable":true,"criteria":"cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*","versionEndIncluding":"3.10.1","matchCriteriaId":"C1C49CD5-5BB0-422B-9A71-5A6832DF6713"}]}]}],"references":[{"url":"https://huntr.com/bounties/09856f77-f968-446f-a930-657d126efe4e","source":"security@huntr.dev","tags":["Exploit","Third Party Advisory","Mitigation"]},{"url":"https://huntr.com/bounties/09856f77-f968-446f-a930-657d126efe4e","source":"134c704f-9b21-4f2e-91b3-4a467353bcc0","tags":["Exploit","Third Party Advisory","Mitigation"]}]}}]}