CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35981 – `CHECK` fail in `FractionalMaxPoolGrad` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35981
16 Sep 2022 — TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning errors. If it gets incorrectly sized inputs, the `CHECK` failure can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 8741e57d163a079db05a7107a7609af70931def4. The fix will be included in TensorFlow 2.10.0. • https://github.com/tensorflow/tensorflow/commit/8741e57d163a079db05a7107a7609af70931def4 • CWE-617: Reachable Assertion •
CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35979 – Segfault in `QuantizedRelu` and `QuantizedRelu6`
https://notcve.org/view.php?id=CVE-2022-35979
16 Sep 2022 — TensorFlow is an open source platform for machine learning. If `QuantizedRelu` or `QuantizedRelu6` are given nonscalar inputs for `min_features` or `max_features`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. 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 i... • https://github.com/tensorflow/tensorflow/commit/49b3824d83af706df0ad07e4e677d88659756d89 • CWE-20: Improper Input Validation •
CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35974 – Segfault in `QuantizeDownAndShrinkRange` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35974
16 Sep 2022 — TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs for `input_min` or `input_max`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. 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 ra... • https://github.com/tensorflow/tensorflow/commit/73ad1815ebcfeb7c051f9c2f7ab5024380ca8613 • CWE-20: Improper Input Validation •
CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35972 – Segfault in `QuantizedBiasAdd` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35972
16 Sep 2022 — TensorFlow is an open source platform for machine learning. If `QuantizedBiasAdd` is given `min_input`, `max_input`, `min_bias`, `max_bias` 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 stil... • https://github.com/tensorflow/tensorflow/commit/785d67a78a1d533759fcd2f5e8d6ef778de849e0 • CWE-20: Improper Input Validation •
CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35973 – Segfault in `QuantizedMatMul` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35973
16 Sep 2022 — TensorFlow is an open source platform for machine learning. If `QuantizedMatMul` is given nonscalar input for: `min_a`, `max_a`, `min_b`, or `max_b` It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. 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/aca766ac7693bf29ed0df55ad6bfcc78f35e7f48 • CWE-20: Improper Input Validation •
CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35971 – `CHECK` fail in `FakeQuantWithMinMaxVars` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35971
16 Sep 2022 — 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 • CWE-617: Reachable Assertion •
CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35969 – `CHECK` fail in `Conv2DBackpropInput` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35969
16 Sep 2022 — 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 • CWE-617: Reachable Assertion •
CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35970 – Segfault in `QuantizedInstanceNorm` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35970
16 Sep 2022 — 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 • CWE-20: Improper Input Validation •
CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35968 – `CHECK` fail in `AvgPoolGrad` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35968
16 Sep 2022 — 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 • CWE-617: Reachable Assertion •
CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35966 – Segfault in `QuantizedAvgPool` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35966
16 Sep 2022 — 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 • CWE-20: Improper Input Validation •