CVSS: 7.5EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35971 – `CHECK` fail in `FakeQuantWithMinMaxVars` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35971
TensorFlow is an open source platform for machine learning. If `FakeQuantWithMinMaxVars` is given `min` or `max` tensors of a nonzero rank, it results in a `CHECK` fail 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. • https://github.com/tensorflow/tensorflow/commit/785d67a78a1d533759fcd2f5e8d6ef778de849e0 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9fpg-838v-wpv7 • CWE-617: Reachable Assertion •
CVSS: 7.5EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35969 – `CHECK` fail in `Conv2DBackpropInput` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35969
TensorFlow is an open source platform for machine learning. The implementation of `Conv2DBackpropInput` requires `input_sizes` to be 4-dimensional. Otherwise, it gives a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 50156d547b9a1da0144d7babe665cf690305b33c. The fix will be included in TensorFlow 2.10.0. • https://github.com/tensorflow/tensorflow/commit/50156d547b9a1da0144d7babe665cf690305b33c https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q2c3-jpmc-gfjx • CWE-617: Reachable Assertion •
CVSS: 7.5EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35970 – Segfault in `QuantizedInstanceNorm` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35970
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. • https://github.com/tensorflow/tensorflow/commit/785d67a78a1d533759fcd2f5e8d6ef778de849e0 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g35r-369w-3fqp • CWE-20: Improper Input Validation •
CVSS: 7.5EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35968 – `CHECK` fail in `AvgPoolGrad` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35968
TensorFlow is an open source platform for machine learning. The implementation of `AvgPoolGrad` does not fully validate the input `orig_input_shape`. This results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 3a6ac52664c6c095aa2b114e742b0aa17fdce78f. The fix will be included in TensorFlow 2.10.0. • https://github.com/tensorflow/tensorflow/commit/3a6ac52664c6c095aa2b114e742b0aa17fdce78f https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2475-53vw-vp25 • CWE-617: Reachable Assertion •
CVSS: 7.5EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35966 – Segfault in `QuantizedAvgPool` in TensorFlow
https://notcve.org/view.php?id=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. • https://github.com/tensorflow/tensorflow/commit/7cdf9d4d2083b739ec81cfdace546b0c99f50622 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4w68-4x85-mjj9 • CWE-20: Improper Input Validation •