{ "id": "CVE-2021-29523", "sourceIdentifier": "security-advisories@github.com", "published": "2021-05-14T20:15:11.663", "lastModified": "2024-11-21T06:01:18.310", "vulnStatus": "Modified", "cveTags": [], "descriptions": [ { "lang": "en", "value": "TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.AddManySparseToTensorsMap`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/kernels/sparse_tensors_map_ops.cc#L257) takes the values specified in `sparse_shape` as dimensions for the output shape. The `TensorShape` constructor(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L183-L188) uses a `CHECK` operation which triggers when `InitDims`(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L212-L296) returns a non-OK status. This is a legacy implementation of the constructor and operations should use `BuildTensorShapeBase` or `AddDimWithStatus` to prevent `CHECK`-failures in the presence of overflows. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range." }, { "lang": "es", "value": "TensorFlow es una plataforma de c\u00f3digo abierto de extremo a extremo para el aprendizaje autom\u00e1tico. Un atacante puede desencadenar una denegaci\u00f3n de servicio por medio de \"CHECK\" en \"tf.raw_ops.AddManySparseToTensorsMap\". Esto es debido a que la implementaci\u00f3n (https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/kernels/sparse_tensors_map_ops.cc#L257) toma los valores especificados en \"sparse_shape shape\" como dimensiones para la forma de salida. El constructor \"TensorShape\" (https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L183-L188) usa una operaci\u00f3n\" CHECK\" que es desencadenada (https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L183-L188) : //github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L212-L296) devuelve un estado no correcto. Esta es una implementaci\u00f3n heredada del constructor y las operaciones deben usar \"BuildTensorShapeBase\" o\" AddDimWithStatus\" para impedir fallos \"CHECK\" en presencia de desbordamientos. La correcci\u00f3n ser\u00e1 incluida en TensorFlow versi\u00f3n 2.5.0. Tambi\u00e9n seleccionaremos este commit en TensorFlow versi\u00f3n 2.4.2, TensorFlow versi\u00f3n 2.3.3, TensorFlow versi\u00f3n 2.2.3 y TensorFlow versi\u00f3n 2.1.4, ya que estos tambi\u00e9n est\u00e1n afectados y a\u00fan est\u00e1n en el rango compatible" } ], "metrics": { "cvssMetricV31": [ { "source": "security-advisories@github.com", "type": "Secondary", "cvssData": { "version": "3.1", "vectorString": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L", "baseScore": 2.5, "baseSeverity": "LOW", "attackVector": "LOCAL", "attackComplexity": "HIGH", "privilegesRequired": "LOW", "userInteraction": "NONE", "scope": "UNCHANGED", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "availabilityImpact": "LOW" }, "exploitabilityScore": 1.0, "impactScore": 1.4 }, { "source": "nvd@nist.gov", "type": "Primary", "cvssData": { "version": "3.1", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H", "baseScore": 5.5, "baseSeverity": "MEDIUM", "attackVector": "LOCAL", "attackComplexity": "LOW", "privilegesRequired": "LOW", "userInteraction": "NONE", "scope": "UNCHANGED", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "availabilityImpact": "HIGH" }, "exploitabilityScore": 1.8, "impactScore": 3.6 } ], "cvssMetricV2": [ { "source": "nvd@nist.gov", "type": "Primary", "cvssData": { "version": "2.0", "vectorString": "AV:L/AC:L/Au:N/C:N/I:N/A:P", "baseScore": 2.1, "accessVector": "LOCAL", "accessComplexity": "LOW", "authentication": "NONE", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "availabilityImpact": "PARTIAL" }, "baseSeverity": "LOW", "exploitabilityScore": 3.9, "impactScore": 2.9, "acInsufInfo": false, "obtainAllPrivilege": false, "obtainUserPrivilege": false, "obtainOtherPrivilege": false, "userInteractionRequired": false } ] }, "weaknesses": [ { "source": "security-advisories@github.com", "type": "Primary", "description": [ { "lang": "en", "value": "CWE-190" } ] } ], "configurations": [ { "nodes": [ { "operator": "OR", "negate": false, "cpeMatch": [ { "vulnerable": true, "criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "versionEndExcluding": "2.1.4", "matchCriteriaId": "323ABCCE-24EB-47CC-87F6-48C101477587" }, { "vulnerable": true, "criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "versionStartIncluding": "2.2.0", "versionEndExcluding": "2.2.3", "matchCriteriaId": "64ABA90C-0649-4BB0-89C9-83C14BBDCC0F" }, { 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