Количество 3
Количество 3
CVE-2022-35966
TensorFlow is an open source platform for machine learning. If `QuantizedAvgPool` is given `min_input` or `max_input` 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 7cdf9d4d2083b739ec81cfdace546b0c99f50622. 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.
CVE-2022-35966
TensorFlow is an open source platform for machine learning. If `Quanti ...
GHSA-4w68-4x85-mjj9
TensorFlow vulnerable to segfault in `QuantizedAvgPool`
Уязвимостей на страницу
Уязвимость | CVSS | EPSS | Опубликовано | |
|---|---|---|---|---|
 | CVE-2022-35966 TensorFlow is an open source platform for machine learning. If `QuantizedAvgPool` is given `min_input` or `max_input` 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 7cdf9d4d2083b739ec81cfdace546b0c99f50622. 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. | CVSS3: 5.9 | 0% Низкий | больше 3 лет назад |
| CVE-2022-35966 TensorFlow is an open source platform for machine learning. If `Quanti ... | CVSS3: 5.9 | 0% Низкий | больше 3 лет назад |
| GHSA-4w68-4x85-mjj9 TensorFlow vulnerable to segfault in `QuantizedAvgPool` | CVSS3: 5.9 | 0% Низкий | больше 3 лет назад |
Уязвимостей на страницу