CVE-2021-29512
Assigner: GitHub_M
Published: 2021-05-14T18:55:10
State: PUBLISHED
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: 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')
type: CWE
source: advisory: GHSA-4278-2v5v-65r4
discovery: UNKNOWN
title: Heap buffer overflow in `RaggedBinCount`