CVE-2022-21731

{"id": "CVE-2022-21731", "metrics": {"cvssMetricV2": [{"type": "Primary", "source": "nvd@nist.gov", "cvssData": {"version": "2.0", "baseScore": 4.0, "accessVector": "NETWORK", "vectorString": "AV:N/AC:L/Au:S/C:N/I:N/A:P", "authentication": "SINGLE", "integrityImpact": "NONE", "accessComplexity": "LOW", "availabilityImpact": "PARTIAL", "confidentialityImpact": "NONE"}, "acInsufInfo": false, "impactScore": 2.9, "baseSeverity": "MEDIUM", "obtainAllPrivilege": false, "exploitabilityScore": 8.0, "obtainUserPrivilege": false, "obtainOtherPrivilege": false, "userInteractionRequired": false}], "cvssMetricV31": [{"type": "Primary", "source": "nvd@nist.gov", "cvssData": {"scope": "UNCHANGED", "version": "3.1", "baseScore": 6.5, "attackVector": "NETWORK", "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H", "integrityImpact": "NONE", "userInteraction": "NONE", "attackComplexity": "LOW", "availabilityImpact": "HIGH", "privilegesRequired": "LOW", "confidentialityImpact": "NONE"}, "impactScore": 3.6, "exploitabilityScore": 2.8}, {"type": "Secondary", "source": "security-advisories@github.com", "cvssData": {"scope": "UNCHANGED", "version": "3.1", "baseScore": 6.5, "attackVector": "NETWORK", "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H", "integrityImpact": "NONE", "userInteraction": "NONE", "attackComplexity": "LOW", "availabilityImpact": "HIGH", "privilegesRequired": "LOW", "confidentialityImpact": "NONE"}, "impactScore": 3.6, "exploitabilityScore": 2.8}]}, "published": "2022-02-03T12:15:07.873", "references": [{"url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/common_shape_fns.cc#L1961-L2059", "tags": ["Exploit", "Third Party Advisory"], "source": "security-advisories@github.com"}, {"url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/shape_inference.cc#L345-L358", "tags": ["Exploit", "Third Party Advisory"], "source": "security-advisories@github.com"}, {"url": "https://github.com/tensorflow/tensorflow/commit/08d7b00c0a5a20926363849f611729f53f3ec022", "tags": ["Patch", "Third Party Advisory"], "source": "security-advisories@github.com"}, {"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m4hf-j54p-p353", "tags": ["Patch", "Third Party Advisory"], "source": "security-advisories@github.com"}], "vulnStatus": "Analyzed", "weaknesses": [{"type": "Primary", "source": "nvd@nist.gov", "description": [{"lang": "en", "value": "CWE-843"}]}], "descriptions": [{"lang": "en", "value": "Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ConcatV2` can be used to trigger a denial of service attack via a segfault caused by a type confusion. The `axis` argument is translated into `concat_dim` in the `ConcatShapeHelper` helper function. Then, a value for `min_rank` is computed based on `concat_dim`. This is then used to validate that the `values` tensor has at least the required rank. However, `WithRankAtLeast` receives the lower bound as a 64-bits value and then compares it against the maximum 32-bits integer value that could be represented. Due to the fact that `min_rank` is a 32-bits value and the value of `axis`, the `rank` argument is a negative value, so the error check is bypassed. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range."}, {"lang": "es", "value": "Tensorflow es un marco de aprendizaje autom\u00e1tico de c\u00f3digo abierto. La implementaci\u00f3n de la inferencia de formas para \"ConcatV2\" puede ser usada para desencadenar un ataque de denegaci\u00f3n de servicio por medio de un segfault causado por una confusi\u00f3n de tipos. El argumento \"axis\" es traducido en \"concat_dim\" en la funci\u00f3n de ayuda \"ConcatShapeHelper\". A continuaci\u00f3n, es calculado un valor para \"min_rank\" basado en \"concat_dim\". Este valor es usado para comprender que el tensor \"values\" presenta al menos el rango requerido. Sin embargo, \"WithRankAtLeast\" recibe el l\u00edmite inferior como un valor de 64 bits y luego lo compara con el valor entero m\u00e1ximo de 32 bits que podr\u00eda representarse. Debido a que \"min_rank\" es un valor de 32 bits y el valor de \"axis\", el argumento \"rank\" es un valor negativo, por lo que la comprobaci\u00f3n del error es omitida. La correcci\u00f3n ser\u00e1 incluida en TensorFlow versi\u00f3n 2.8.0. Tambi\u00e9n seleccionaremos este commit en TensorFlow versi\u00f3n 2.7.1, TensorFlow versi\u00f3n 2.6.3, y TensorFlow versi\u00f3n 2.5.3, ya que estos tambi\u00e9n est\u00e1n afectados y a\u00fan est\u00e1n en el rango admitido"}], "lastModified": "2022-02-09T03:06:27.163", "configurations": [{"nodes": [{"negate": false, "cpeMatch": [{"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "vulnerable": true, "matchCriteriaId": "688150BF-477C-48FC-9AEF-A79AC57A6DDC", "versionEndIncluding": "2.5.2"}, {"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "vulnerable": true, "matchCriteriaId": "C9E69B60-8C97-47E2-9027-9598B8392E5D", "versionEndIncluding": "2.6.2", "versionStartIncluding": "2.6.0"}, {"criteria": "cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:*", "vulnerable": true, "matchCriteriaId": "2EDFAAB8-799C-4259-9102-944D4760DA2C"}], "operator": "OR"}]}], "sourceIdentifier": "security-advisories@github.com"}