{"containers":{"cna":{"affected":[{"product":"tensorflow","vendor":"tensorflow","versions":[{"status":"affected","version":"< 2.3.3"},{"status":"affected","version":">= 2.4.0, < 2.4.2"}]}],"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."}],"metrics":[{"cvssV3_1":{"attackComplexity":"HIGH","attackVector":"LOCAL","availabilityImpact":"LOW","baseScore":2.5,"baseSeverity":"LOW","confidentialityImpact":"NONE","integrityImpact":"NONE","privilegesRequired":"LOW","scope":"UNCHANGED","userInteraction":"NONE","vectorString":"CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L","version":"3.1"}}],"problemTypes":[{"descriptions":[{"cweId":"CWE-131","description":"CWE-131: Incorrect Calculation of Buffer Size","lang":"en","type":"CWE"}]}],"providerMetadata":{"dateUpdated":"2021-05-14T19:35:49.000Z","orgId":"a0819718-46f1-4df5-94e2-005712e83aaa","shortName":"GitHub_M"},"references":[{"tags":["x_refsource_CONFIRM"],"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hr84-fqvp-48mm"},{"tags":["x_refsource_MISC"],"url":"https://github.com/tensorflow/tensorflow/commit/c57c0b9f3a4f8684f3489dd9a9ec627ad8b599f5"}],"source":{"advisory":"GHSA-hr84-fqvp-48mm","discovery":"UNKNOWN"},"title":"Segfault in SparseCountSparseOutput","x_legacyV4Record":{"CVE_data_meta":{"ASSIGNER":"security-advisories@github.com","ID":"CVE-2021-29521","STATE":"PUBLIC","TITLE":"Segfault in SparseCountSparseOutput"},"affects":{"vendor":{"vendor_data":[{"product":{"product_data":[{"product_name":"tensorflow","version":{"version_data":[{"version_value":"< 2.3.3"},{"version_value":">= 2.4.0, < 2.4.2"}]}}]},"vendor_name":"tensorflow"}]}},"data_format":"MITRE","data_type":"CVE","data_version":"4.0","description":{"description_data":[{"lang":"eng","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."}]},"impact":{"cvss":{"attackComplexity":"HIGH","attackVector":"LOCAL","availabilityImpact":"LOW","baseScore":2.5,"baseSeverity":"LOW","confidentialityImpact":"NONE","integrityImpact":"NONE","privilegesRequired":"LOW","scope":"UNCHANGED","userInteraction":"NONE","vectorString":"CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L","version":"3.1"}},"problemtype":{"problemtype_data":[{"description":[{"lang":"eng","value":"CWE-131: Incorrect Calculation of Buffer Size"}]}]},"references":{"reference_data":[{"name":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hr84-fqvp-48mm","refsource":"CONFIRM","url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hr84-fqvp-48mm"},{"name":"https://github.com/tensorflow/tensorflow/commit/c57c0b9f3a4f8684f3489dd9a9ec627ad8b599f5","refsource":"MISC","url":"https://github.com/tensorflow/tensorflow/commit/c57c0b9f3a4f8684f3489dd9a9ec627ad8b599f5"}]},"source":{"advisory":"GHSA-hr84-fqvp-48mm","discovery":"UNKNOWN"}}},"adp":[{"providerMetadata":{"orgId":"af854a3a-2127-422b-91ae-364da2661108","shortName":"CVE","dateUpdated":"2024-08-03T22:11:05.725Z"},"title":"CVE Program Container","references":[{"tags":["x_refsource_CONFIRM","x_transferred"],"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hr84-fqvp-48mm"},{"tags":["x_refsource_MISC","x_transferred"],"url":"https://github.com/tensorflow/tensorflow/commit/c57c0b9f3a4f8684f3489dd9a9ec627ad8b599f5"}]}]},"cveMetadata":{"assignerOrgId":"a0819718-46f1-4df5-94e2-005712e83aaa","assignerShortName":"GitHub_M","cveId":"CVE-2021-29521","datePublished":"2021-05-14T19:35:49.000Z","dateReserved":"2021-03-30T00:00:00.000Z","dateUpdated":"2024-08-03T22:11:05.725Z","state":"PUBLISHED"},"dataType":"CVE_RECORD","dataVersion":"5.1"}