CVE-2022-35964: Segfault in `BlockLSTMGradV2` in TensorFlow
TensorFlow is an open source platform for machine learning. The implementation of BlockLSTMGradV2 does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa. 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.
Affected Software
Remediation
Event History
Frequently Asked Questions
What is the severity of CVE-2022-35964?
CVE-2022-35964 has a severity rating that can lead to a denial of service due to a segfault.
How do I fix CVE-2022-35964?
To fix CVE-2022-35964, update TensorFlow to a version that includes the patch from GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa.
What versions of TensorFlow are affected by CVE-2022-35964?
CVE-2022-35964 affects TensorFlow versions 2.7.0 to 2.7.2, 2.8.0 to 2.8.1, and 2.9.0 to 2.9.1, as well as specific release candidates.
What component of TensorFlow is impacted by CVE-2022-35964?
CVE-2022-35964 specifically impacts the implementation of BlockLSTMGradV2 within TensorFlow.
Is there any known exploitation for CVE-2022-35964?
Yes, CVE-2022-35964 can be exploited to trigger a denial of service attack.