{"containers":{"cna":{"affected":[{"product":"tensorflow","vendor":"tensorflow","versions":[{"status":"affected","version":">=2.3.0, < 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. If the `splits` argument of `RaggedBincount` does not specify a valid `SparseTensor`(https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from outside the bounds of the `splits` tensor buffer in the implementation of the `RaggedBincount` op(https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L433). Before the `for` loop, `batch_idx` is set to 0. The user controls the `splits` array, making it contain only one element, 0. Thus, the code in the `while` loop would increment `batch_idx` and then try to read `splits(1)`, which is outside of bounds. 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, as these are also affected."}],"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-120","description":"CWE-120: Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')","lang":"en","type":"CWE"}]}],"providerMetadata":{"dateUpdated":"2021-05-14T18:55:10.000Z","orgId":"a0819718-46f1-4df5-94e2-005712e83aaa","shortName":"GitHub_M"},"references":[{"tags":["x_refsource_CONFIRM"],"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4278-2v5v-65r4"},{"tags":["x_refsource_MISC"],"url":"https://github.com/tensorflow/tensorflow/commit/eebb96c2830d48597d055d247c0e9aebaea94cd5"}],"source":{"advisory":"GHSA-4278-2v5v-65r4","discovery":"UNKNOWN"},"title":"Heap buffer overflow in `RaggedBinCount`","x_legacyV4Record":{"CVE_data_meta":{"ASSIGNER":"security-advisories@github.com","ID":"CVE-2021-29512","STATE":"PUBLIC","TITLE":"Heap buffer overflow in `RaggedBinCount`"},"affects":{"vendor":{"vendor_data":[{"product":{"product_data":[{"product_name":"tensorflow","version":{"version_data":[{"version_value":">=2.3.0, < 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. If the `splits` argument of `RaggedBincount` does not specify a valid `SparseTensor`(https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from outside the bounds of the `splits` tensor buffer in the implementation of the `RaggedBincount` op(https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L433). Before the `for` loop, `batch_idx` is set to 0. The user controls the `splits` array, making it contain only one element, 0. Thus, the code in the `while` loop would increment `batch_idx` and then try to read `splits(1)`, which is outside of bounds. 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, as these are also affected."}]},"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-120: Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')"}]}]},"references":{"reference_data":[{"name":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4278-2v5v-65r4","refsource":"CONFIRM","url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4278-2v5v-65r4"},{"name":"https://github.com/tensorflow/tensorflow/commit/eebb96c2830d48597d055d247c0e9aebaea94cd5","refsource":"MISC","url":"https://github.com/tensorflow/tensorflow/commit/eebb96c2830d48597d055d247c0e9aebaea94cd5"}]},"source":{"advisory":"GHSA-4278-2v5v-65r4","discovery":"UNKNOWN"}}},"adp":[{"providerMetadata":{"orgId":"af854a3a-2127-422b-91ae-364da2661108","shortName":"CVE","dateUpdated":"2024-08-03T22:11:05.767Z"},"title":"CVE Program Container","references":[{"tags":["x_refsource_CONFIRM","x_transferred"],"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4278-2v5v-65r4"},{"tags":["x_refsource_MISC","x_transferred"],"url":"https://github.com/tensorflow/tensorflow/commit/eebb96c2830d48597d055d247c0e9aebaea94cd5"}]}]},"cveMetadata":{"assignerOrgId":"a0819718-46f1-4df5-94e2-005712e83aaa","assignerShortName":"GitHub_M","cveId":"CVE-2021-29512","datePublished":"2021-05-14T18:55:10.000Z","dateReserved":"2021-03-30T00:00:00.000Z","dateUpdated":"2024-08-03T22:11:05.767Z","state":"PUBLISHED"},"dataType":"CVE_RECORD","dataVersion":"5.1"}