{"resultsPerPage":1,"startIndex":0,"totalResults":1,"format":"NVD_CVE","version":"2.0","timestamp":"2026-05-11T18:16:51.011","vulnerabilities":[{"cve":{"id":"CVE-2021-29521","sourceIdentifier":"security-advisories@github.com","published":"2021-05-14T20:15:11.567","lastModified":"2024-11-21T06:01:18.080","vulnStatus":"Modified","cveTags":[],"descriptions":[{"lang":"en","value":"TensorFlow is an end-to-end open source platform for machine learning. Specifying a negative dense shape in `tf.raw_ops.SparseCountSparseOutput` results in a segmentation fault being thrown out from the standard library as `std::vector` invariants are broken. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/8f7b60ee8c0206a2c99802e3a4d1bb55d2bc0624/tensorflow/core/kernels/count_ops.cc#L199-L213) assumes the first element of the dense shape is always positive and uses it to initialize a `BatchedMap<T>` (i.e., `std::vector<absl::flat_hash_map<int64,T>>`(https://github.com/tensorflow/tensorflow/blob/8f7b60ee8c0206a2c99802e3a4d1bb55d2bc0624/tensorflow/core/kernels/count_ops.cc#L27)) data structure. If the `shape` tensor has more than one element, `num_batches` is the first value in `shape`. Ensuring that the `dense_shape` argument is a valid tensor shape (that is, all elements are non-negative) solves this issue. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3."},{"lang":"es","value":"TensorFlow es una plataforma de código abierto de extremo a extremo para el aprendizaje automático.&#xa0;Especificar una forma densa negativa en \"tf.raw_ops.SparseCountSparseOutput\" resulta en un error de segmentación que es eliminado de la biblioteca estándar ya que los invariantes \"std::vector\" son rotos.&#xa0;Esto es debido a que la implementación (https://github.com/tensorflow/tensorflow/blob/8f7b60ee8c0206a2c99802e3a4d1bb55d2bc0624/tensorflow/core/kernels/count_ops.cc#L199-L213) asume que el primer elemento de la forma densa es siempre positivo y lo usa para inicializar un \"BatchedMap(T)\" (es decir, \"std::vector (absl::flat_hash_map(int64, T))\" (https://github.com/tensorflow/tensorflow/blob/8f7b60ee8c0206a2c99802e3a4d1bb55d2bc0624/tensorflow/core/kernels/count_ops.cc#L27)) estructura de datos.&#xa0;Si el tensor de \"shape\" presenta más de un elemento,\"num_batches\" es el primer valor en \"shape\".&#xa0;Asegurarse de que el argumento \"dense_shape\" sea una forma de tensor válida (es decir, que todos los elementos no sean negativos) resuelve este problema.&#xa0;La corrección será incluida en TensorFlow versión 2.5.0.&#xa0;También seleccionaremos este commit en TensorFlow versión 2.4.2 y TensorFlow versión 2.3.3"}],"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":"Secondary","description":[{"lang":"en","value":"CWE-131"}]}],"configurations":[{"nodes":[{"operator":"OR","negate":false,"cpeMatch":[{"vulnerable":true,"criteria":"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*","versionStartIncluding":"2.3.0","versionEndExcluding":"2.3.3","matchCriteriaId":"0F83E0CF-CBF6-4C24-8683-3E7A5DC95BA9"},{"vulnerable":true,"criteria":"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*","versionStartIncluding":"2.4.0","versionEndExcluding":"2.4.2","matchCriteriaId":"8259531B-A8AC-4F8B-B60F-B69DE4767C03"}]}]}],"references":[{"url":"https://github.com/tensorflow/tensorflow/commit/c57c0b9f3a4f8684f3489dd9a9ec627ad8b599f5","source":"security-advisories@github.com","tags":["Patch","Third Party Advisory"]},{"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hr84-fqvp-48mm","source":"security-advisories@github.com","tags":["Exploit","Patch","Third Party Advisory"]},{"url":"https://github.com/tensorflow/tensorflow/commit/c57c0b9f3a4f8684f3489dd9a9ec627ad8b599f5","source":"af854a3a-2127-422b-91ae-364da2661108","tags":["Patch","Third Party Advisory"]},{"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hr84-fqvp-48mm","source":"af854a3a-2127-422b-91ae-364da2661108","tags":["Exploit","Patch","Third Party Advisory"]}]}}]}