TensorFlow is an open source platform for machine learning. If `QuantizedInstanceNorm` is given `x_min` or `x_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. 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.
References
| Link | Resource |
|---|---|
| https://github.com/tensorflow/tensorflow/commit/785d67a78a1d533759fcd2f5e8d6ef778de849e0 | Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g35r-369w-3fqp | Patch Third Party Advisory |
Configurations
Configuration 1 (hide)
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History
16 Sep 2022, 22:15
| Type | Values Removed | Values Added |
|---|---|---|
| Summary | TensorFlow is an open source platform for machine learning. If `QuantizedInstanceNorm` is given `x_min` or `x_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. 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. |
16 Sep 2022, 21:37
| Type | Values Removed | Values Added |
|---|---|---|
| New CVE |
Information
Published : 2022-09-16 21:15
Updated : 2024-02-04 22:51
NVD link : CVE-2022-35970
Mitre link : CVE-2022-35970
CVE.ORG link : CVE-2022-35970
JSON object : View
Products Affected
- tensorflow
CWE