Safety vulnerability ID: 51075
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-2022-35986: Segfault in 'RaggedBincount'.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wr9v-g9vf-c74v
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 `RaggedBincount` is given an empty input tensor `splits`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7a4591fd4f065f4fa903593bc39b2f79530a74b8. 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-2022-35986.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wr9v-g9vf-c74v: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wr9v-g9vf-c74v
MISC:https://github.com/tensorflow/tensorflow/commit/7a4591fd4f065f4fa903593bc39b2f79530a74b8: https://github.com/tensorflow/tensorflow/commit/7a4591fd4f065f4fa903593bc39b2f79530a74b8
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