CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-36019 – `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-36019
16 Sep 2022 — TensorFlow is an open source platform for machine learning. If `FakeQuantWithMinMaxVarsPerChannel` is given `min` or `max` tensors of a rank other than one, 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 s... • https://github.com/tensorflow/tensorflow/commit/785d67a78a1d533759fcd2f5e8d6ef778de849e0 • CWE-617: Reachable Assertion •
CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35990 – `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannelGradient` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35990
16 Sep 2022 — TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient` receives input `min` or `max` of rank other than 1, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. 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 an... • https://github.com/tensorflow/tensorflow/commit/f3cf67ac5705f4f04721d15e485e192bb319feed • CWE-617: Reachable Assertion •
CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35986 – Segfault in `RaggedBincount` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35986
16 Sep 2022 — TensorFlow is an open source platform for machine learning. If `RaggedBincount` is given an empty input tensor `splits`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7a4591fd4f065f4fa903593bc39b2f79530a74b8. 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/7a4591fd4f065f4fa903593bc39b2f79530a74b8 • CWE-20: Improper Input Validation •
CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35987 – `CHECK` fail in `DenseBincount` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35987
16 Sep 2022 — TensorFlow is an open source platform for machine learning. `DenseBincount` assumes its input tensor `weights` to either have the same shape as its input tensor `input` or to be length-0. A different `weights` shape will trigger a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bf4c14353c2328636a18bfad1e151052c81d5f43. The fix will be included in TensorFlow 2.10.0. • https://github.com/tensorflow/tensorflow/commit/bf4c14353c2328636a18bfad1e151052c81d5f43 • CWE-617: Reachable Assertion •
CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35985 – `CHECK` fail in `LRNGrad` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35985
16 Sep 2022 — TensorFlow is an open source platform for machine learning. If `LRNGrad` is given an `output_image` input tensor that is not 4-D, 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 bd90b3efab4ec958b228cd7cfe9125be1c0cf255. 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/bd90b3efab4ec958b228cd7cfe9125be1c0cf255 • CWE-617: Reachable Assertion •
CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35984 – `CHECK` fail in `ParameterizedTruncatedNormal` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35984
16 Sep 2022 — TensorFlow is an open source platform for machine learning. `ParameterizedTruncatedNormal` assumes `shape` is of type `int32`. A valid `shape` of type `int64` results in a mismatched type `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 72180be03447a10810edca700cbc9af690dfeb51. The fix will be included in TensorFlow 2.10.0. • https://github.com/tensorflow/tensorflow/commit/72180be03447a10810edca700cbc9af690dfeb51 • CWE-617: Reachable Assertion •
CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35983 – `CHECK` fail in `Save` and `SaveSlices` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35983
16 Sep 2022 — TensorFlow is an open source platform for machine learning. If `Save` or `SaveSlices` is run over tensors of an unsupported `dtype`, 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 5dd7b86b84a864b834c6fa3d7f9f51c87efa99d4. 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/5dd7b86b84a864b834c6fa3d7f9f51c87efa99d4 • CWE-617: Reachable Assertion •
CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35989 – `CHECK` fail in `MaxPool` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35989
16 Sep 2022 — TensorFlow is an open source platform for machine learning. When `MaxPool` receives a window size input array `ksize` with dimensions greater than its input tensor `input`, the GPU kernel gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 32d7bd3defd134f21a4e344c8dfd40099aaf6b18. 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 ... • https://github.com/tensorflow/tensorflow/commit/32d7bd3defd134f21a4e344c8dfd40099aaf6b18 • CWE-617: Reachable Assertion •
CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35988 – `CHECK` fail in `tf.linalg.matrix_rank` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35988
16 Sep 2022 — TensorFlow is an open source platform for machine learning. When `tf.linalg.matrix_rank` receives an empty input `a`, the GPU kernel gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a. 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/c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a • CWE-617: Reachable Assertion •
CVSS: 7.8EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35982 – Segfault in `SparseBincount` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35982
16 Sep 2022 — TensorFlow is an open source platform for machine learning. If `SparseBincount` is given inputs for `indices`, `values`, and `dense_shape` that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa. 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 affec... • https://github.com/tensorflow/tensorflow/commit/40adbe4dd15b582b0210dfbf40c243a62f5119fa • CWE-20: Improper Input Validation •