CVE-2024-35199

{"id": "CVE-2024-35199", "cveTags": [], "metrics": {"cvssMetricV31": [{"type": "Secondary", "source": "security-advisories@github.com", "cvssData": {"scope": "UNCHANGED", "version": "3.1", "baseScore": 8.2, "attackVector": "NETWORK", "baseSeverity": "HIGH", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:H", "integrityImpact": "NONE", "userInteraction": "NONE", "attackComplexity": "LOW", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "LOW"}, "impactScore": 4.2, "exploitabilityScore": 3.9}]}, "published": "2024-07-19T02:15:14.777", "references": [{"url": "https://github.com/pytorch/serve/pull/3083", "tags": ["Patch"], "source": "security-advisories@github.com"}, {"url": "https://github.com/pytorch/serve/releases/tag/v0.11.0", "tags": ["Release Notes"], "source": "security-advisories@github.com"}, {"url": "https://github.com/pytorch/serve/security/advisories/GHSA-hhpg-v63p-wp7w", "tags": ["Patch", "Third Party Advisory"], "source": "security-advisories@github.com"}, {"url": "https://github.com/pytorch/serve/pull/3083", "tags": ["Patch"], "source": "af854a3a-2127-422b-91ae-364da2661108"}, {"url": "https://github.com/pytorch/serve/releases/tag/v0.11.0", "tags": ["Release Notes"], "source": "af854a3a-2127-422b-91ae-364da2661108"}, {"url": "https://github.com/pytorch/serve/security/advisories/GHSA-hhpg-v63p-wp7w", "tags": ["Patch", "Third Party Advisory"], "source": "af854a3a-2127-422b-91ae-364da2661108"}], "vulnStatus": "Analyzed", "weaknesses": [{"type": "Secondary", "source": "security-advisories@github.com", "description": [{"lang": "en", "value": "CWE-668"}]}], "descriptions": [{"lang": "en", "value": "TorchServe is a flexible and easy-to-use tool for serving and scaling PyTorch models in production. In affected versions the two gRPC ports 7070 and 7071, are not bound to [localhost](http://localhost/) by default, so when TorchServe is launched, these two interfaces are bound to all interfaces. Customers using PyTorch inference Deep Learning Containers (DLC) through Amazon SageMaker and EKS are not affected. This issue in TorchServe has been fixed in PR #3083. TorchServe release 0.11.0 includes the fix to address this vulnerability. Users are advised to upgrade. There are no known workarounds for this vulnerability."}, {"lang": "es", "value": "TorchServe es una herramienta flexible y f\u00e1cil de usar para servir y escalar modelos PyTorch en producci\u00f3n. En las versiones afectadas, los dos puertos gRPC 7070 y 7071 no est\u00e1n vinculados a [localhost](http://localhost/) de forma predeterminada, por lo que cuando se inicia TorchServe, estas dos interfaces est\u00e1n vinculadas a todas las interfaces. Los clientes que utilizan contenedores de aprendizaje profundo (DLC) de inferencia de PyTorch a trav\u00e9s de Amazon SageMaker y EKS no se ven afectados. Este problema en TorchServe se solucion\u00f3 en PR #3083. La versi\u00f3n 0.11.0 de TorchServe incluye la soluci\u00f3n para abordar esta vulnerabilidad. Se recomienda a los usuarios que actualicen. No se conocen workarounds para esta vulnerabilidad."}], "lastModified": "2025-09-04T15:46:54.180", "configurations": [{"nodes": [{"negate": false, "cpeMatch": [{"criteria": "cpe:2.3:a:pytorch:torchserve:*:*:*:*:*:*:*:*", "vulnerable": true, "matchCriteriaId": "2842A556-E7AC-4040-94D7-332C132F9B0C", "versionEndExcluding": "0.11.0", "versionStartIncluding": "0.3.0"}], "operator": "OR"}]}], "sourceIdentifier": "security-advisories@github.com"}