CVE-2021-29567 – tensorflow

Package

Manager: pip
Name: tensorflow
Vulnerable Version: >=0 <2.1.4 || >=2.2.0 <2.2.3 || >=2.3.0 <2.3.3 || >=2.4.0 <2.4.2

Severity

Level: Low

CVSS v3.1: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

CVSS v4.0: CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N

EPSS: 0.00015 pctl0.01959

Details

Lack of validation in `SparseDenseCwiseMul` ### Impact Due to lack of validation in `tf.raw_ops.SparseDenseCwiseMul`, an attacker can trigger denial of service via `CHECK`-fails or accesses to outside the bounds of heap allocated data: ```python import tensorflow as tf indices = tf.constant([], shape=[10, 0], dtype=tf.int64) values = tf.constant([], shape=[0], dtype=tf.int64) shape = tf.constant([0, 0], shape=[2], dtype=tf.int64) dense = tf.constant([], shape=[0], dtype=tf.int64) tf.raw_ops.SparseDenseCwiseMul( sp_indices=indices, sp_values=values, sp_shape=shape, dense=dense) ``` Since the [implementation](https://github.com/tensorflow/tensorflow/blob/38178a2f7a681a7835bb0912702a134bfe3b4d84/tensorflow/core/kernels/sparse_dense_binary_op_shared.cc#L68-L80) only validates the rank of the input arguments but no [constraints between dimensions](https://www.tensorflow.org/api_docs/python/tf/raw_ops/SparseDenseCwiseMul), an attacker can abuse them to trigger internal `CHECK` assertions (and cause program termination, denial of service) or to write to memory outside of bounds of heap allocated tensor buffers. ### Patches We have patched the issue in GitHub commit [7ae2af34087fb4b5c8915279efd03da3b81028bc](https://github.com/tensorflow/tensorflow/commit/7ae2af34087fb4b5c8915279efd03da3b81028bc). The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team.

Metadata

Created: 2021-05-21T14:25:16Z
Modified: 2024-11-01T17:04:25Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/05/GHSA-wp3c-xw9g-gpcg/GHSA-wp3c-xw9g-gpcg.json
CWE IDs: ["CWE-617"]
Alternative ID: GHSA-wp3c-xw9g-gpcg
Finding: F138
Auto approve: 1