CVE-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 •
CVE-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 •
CVE-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 •
CVE-2022-35988 – `CHECK` fail in `tf.linalg.matrix_rank` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35988
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 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9vqj-64pv-w55c • CWE-617: Reachable Assertion •
CVE-2022-35982 – Segfault in `SparseBincount` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-35982
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 affected and still in supported range. • https://github.com/tensorflow/tensorflow/commit/40adbe4dd15b582b0210dfbf40c243a62f5119fa https://github.com/tensorflow/tensorflow/security/advisories/GHSA-397c-5g2j-qxpv • CWE-20: Improper Input Validation •