{"id":"BIT-tensorflow-2021-29512","summary":"Heap buffer overflow in `RaggedBinCount`","details":"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.","aliases":["CVE-2021-29512","GHSA-4278-2v5v-65r4","PYSEC-2021-149","PYSEC-2021-440","PYSEC-2021-638"],"modified":"2025-05-20T10:02:07.006Z","published":"2024-03-06T11:20:09.837Z","database_specific":{"severity":"High","cpes":["cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*"]},"references":[{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/commit/eebb96c2830d48597d055d247c0e9aebaea94cd5"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4278-2v5v-65r4"},{"type":"WEB","url":"https://nvd.nist.gov/vuln/detail/CVE-2021-29512"}],"affected":[{"package":{"name":"tensorflow","ecosystem":"Bitnami","purl":"pkg:bitnami/tensorflow"},"ranges":[{"type":"SEMVER","events":[{"introduced":"2.3.0"},{"fixed":"2.3.3"},{"introduced":"2.4.0"},{"fixed":"2.4.2"}]}],"database_specific":{"source":"https://github.com/bitnami/vulndb/tree/main/data/tensorflow/BIT-tensorflow-2021-29512.json"},"severity":[{"type":"CVSS_V3","score":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H"}]}],"schema_version":"1.7.3"}