CVSS: 7.5EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35987 – `CHECK` fail in `DenseBincount` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35987
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 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w62h-8xjm-fv49 • CWE-617: Reachable Assertion •
CVSS: 7.5EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35985 – `CHECK` fail in `LRNGrad` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35985
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 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9942-r22v-78cp • CWE-617: Reachable Assertion •
CVSS: 7.5EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35984 – `CHECK` fail in `ParameterizedTruncatedNormal` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35984
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 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p2xf-8hgm-hpw5 • CWE-617: Reachable Assertion •
CVSS: 7.5EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35983 – `CHECK` fail in `Save` and `SaveSlices` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35983
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 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m6vp-8q9j-whx4 • CWE-617: Reachable Assertion •
CVSS: 7.5EPSS: 0%CPEs: 7EXPL: 0CVE-2022-35989 – `CHECK` fail in `MaxPool` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35989
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 affected and still in supported range. • https://github.com/tensorflow/tensorflow/commit/32d7bd3defd134f21a4e344c8dfd40099aaf6b18 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j43h-pgmg-5hjq • CWE-617: Reachable Assertion •