CVE-2022-29211 – tensorflow-cpu

Package

Manager: pip
Name: tensorflow-cpu
Vulnerable Version: >=0 <2.6.4 || >=2.7.0 <2.7.2 || >=2.8.0 <2.8.1

Severity

Level: Medium

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

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

EPSS: 0.0008 pctl0.24445

Details

Segfault if `tf.histogram_fixed_width` is called with NaN values in TensorFlow ### Impact The implementation of [`tf.histogram_fixed_width`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc) is vulnerable to a crash when the values array contain `NaN` elements: ```python import tensorflow as tf import numpy as np tf.histogram_fixed_width(values=np.nan, value_range=[1,2]) ``` The [implementation](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74) assumes that all floating point operations are defined and then converts a floating point result to an integer index: ```cc index_to_bin.device(d) = ((values.cwiseMax(value_range(0)) - values.constant(value_range(0))) .template cast<double>() / step) .cwiseMin(nbins_minus_1) .template cast<int32>(); ``` If `values` contains `NaN` then the result of the division is still `NaN` and the cast to `int32` would result in a crash. This only occurs on the CPU implementation. ### Patches We have patched the issue in GitHub commit [e57fd691c7b0fd00ea3bfe43444f30c1969748b5](https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5). The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 externally via a [GitHub issue](https://github.com/tensorflow/tensorflow/issues/45770).

Metadata

Created: 2022-05-24T22:15:45Z
Modified: 2022-06-06T18:02:02Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/05/GHSA-xrp2-fhq4-4q3w/GHSA-xrp2-fhq4-4q3w.json
CWE IDs: ["CWE-20"]
Alternative ID: GHSA-xrp2-fhq4-4q3w
Finding: F184
Auto approve: 1