CVE-2021-43811

{"id": "CVE-2021-43811", "cveTags": [], "metrics": {"cvssMetricV2": [{"type": "Primary", "source": "nvd@nist.gov", "cvssData": {"version": "2.0", "baseScore": 6.8, "accessVector": "NETWORK", "vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P", "authentication": "NONE", "integrityImpact": "PARTIAL", "accessComplexity": "MEDIUM", "availabilityImpact": "PARTIAL", "confidentialityImpact": "PARTIAL"}, "acInsufInfo": false, "impactScore": 6.4, "baseSeverity": "MEDIUM", "obtainAllPrivilege": false, "exploitabilityScore": 8.6, "obtainUserPrivilege": false, "obtainOtherPrivilege": false, "userInteractionRequired": true}], "cvssMetricV31": [{"type": "Secondary", "source": "security-advisories@github.com", "cvssData": {"scope": "UNCHANGED", "version": "3.1", "baseScore": 7.8, "attackVector": "LOCAL", "baseSeverity": "HIGH", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H", "integrityImpact": "HIGH", "userInteraction": "REQUIRED", "attackComplexity": "LOW", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "HIGH"}, "impactScore": 5.9, "exploitabilityScore": 1.8}]}, "published": "2021-12-08T23:15:08.123", "references": [{"url": "https://github.com/awslabs/sockeye/pull/964", "tags": ["Patch", "Third Party Advisory"], "source": "security-advisories@github.com"}, {"url": "https://github.com/awslabs/sockeye/releases/tag/2.3.24", "tags": ["Release Notes", "Third Party Advisory"], "source": "security-advisories@github.com"}, {"url": "https://github.com/awslabs/sockeye/security/advisories/GHSA-ggmr-44cv-24pm", "tags": ["Third Party Advisory"], "source": "security-advisories@github.com"}, {"url": "https://github.com/awslabs/sockeye/pull/964", "tags": ["Patch", "Third Party Advisory"], "source": "af854a3a-2127-422b-91ae-364da2661108"}, {"url": "https://github.com/awslabs/sockeye/releases/tag/2.3.24", "tags": ["Release Notes", "Third Party Advisory"], "source": "af854a3a-2127-422b-91ae-364da2661108"}, {"url": "https://github.com/awslabs/sockeye/security/advisories/GHSA-ggmr-44cv-24pm", "tags": ["Third Party Advisory"], "source": "af854a3a-2127-422b-91ae-364da2661108"}], "vulnStatus": "Modified", "weaknesses": [{"type": "Secondary", "source": "security-advisories@github.com", "description": [{"lang": "en", "value": "CWE-94"}]}], "descriptions": [{"lang": "en", "value": "Sockeye is an open-source sequence-to-sequence framework for Neural Machine Translation built on PyTorch. Sockeye uses YAML to store model and data configurations on disk. Versions below 2.3.24 use unsafe YAML loading, which can be made to execute arbitrary code embedded in config files. An attacker can add malicious code to the config file of a trained model and attempt to convince users to download and run it. If users run the model, the embedded code will run locally. The issue is fixed in version 2.3.24."}, {"lang": "es", "value": "Sockeye es un marco de trabajo de secuencia a secuencia de c\u00f3digo abierto para la traducci\u00f3n autom\u00e1tica neuronal construido sobre PyTorch. Sockeye usa YAML para almacenar configuraciones de modelos y datos en el disco. Las versiones anteriores a 2.3.24, usan una carga insegura de YAML, que puede hacer que se ejecute c\u00f3digo arbitrario incrustado en los archivos de configuraci\u00f3n. Un atacante puede a\u00f1adir c\u00f3digo malicioso al archivo de configuraci\u00f3n de un modelo entrenado e intentar convencer a los usuarios de que lo descarguen y lo ejecuten. Si los usuarios ejecutan el modelo, el c\u00f3digo insertado se ejecutar\u00e1 localmente. El problema ha sido corregido en la versi\u00f3n 2.3.24"}], "lastModified": "2024-11-21T06:29:50.533", "configurations": [{"nodes": [{"negate": false, "cpeMatch": [{"criteria": "cpe:2.3:a:amazon:sockeye:*:*:*:*:*:python:*:*", "vulnerable": true, "matchCriteriaId": "5636D1BB-6FCA-4027-84CB-1FCDB64F69A7", "versionEndExcluding": "2.3.24"}], "operator": "OR"}]}], "sourceIdentifier": "security-advisories@github.com"}