Safety vulnerability ID: 51071
The information on this page was manually curated by our Cybersecurity Intelligence Team.
TensorFlow 2.7.4, 2.8.3 and 2.9.2 include a fix for CVE-2022-35982: Segfault in 'SparseBincount'.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-397c-5g2j-qxpv
Latest version: 2.18.0
TensorFlow is an open source machine learning framework for everyone.
TensorFlow is an open source platform for machine learning. If `SparseBincount` is given inputs for `indices`, `values`, and `dense_shape` that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. See CVE-2022-35982.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-397c-5g2j-qxpv: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-397c-5g2j-qxpv
MISC:https://github.com/tensorflow/tensorflow/commit/40adbe4dd15b582b0210dfbf40c243a62f5119fa: https://github.com/tensorflow/tensorflow/commit/40adbe4dd15b582b0210dfbf40c243a62f5119fa
Scan your Python project for dependency vulnerabilities in two minutes
Scan your application