CVSS: 7.8EPSS: 0%CPEs: 6EXPL: 0CVE-2021-37651 – Heap buffer overflow in `FractionalAvgPoolGrad` in TensorFlow
https://notcve.org/view.php?id=CVE-2021-37651
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for `tf.raw_ops.FractionalAvgPoolGrad` can be tricked into accessing data outside of bounds of heap allocated buffers. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/fractional_avg_pool_op.cc#L205) does not validate that the input tensor is non-empty. Thus, code constructs an empty `EigenDoubleMatrixMap` and then accesses this buffer with indices that are outside of the empty area. We have patched the issue in GitHub commit 0f931751fb20f565c4e94aa6df58d54a003cdb30. • https://github.com/tensorflow/tensorflow/commit/0f931751fb20f565c4e94aa6df58d54a003cdb30 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hpv4-7p9c-mvfr • CWE-125: Out-of-bounds Read CWE-787: Out-of-bounds Write •
CVSS: 7.8EPSS: 0%CPEs: 6EXPL: 0CVE-2021-37650 – Segfault and heap buffer overflow in `{Experimental,}DatasetToTFRecord` in TensorFlow
https://notcve.org/view.php?id=CVE-2021-37650
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for `tf.raw_ops.ExperimentalDatasetToTFRecord` and `tf.raw_ops.DatasetToTFRecord` can trigger heap buffer overflow and segmentation fault. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/data/experimental/to_tf_record_op.cc#L93-L102) assumes that all records in the dataset are of string type. However, there is no check for that, and the example given above uses numeric types. We have patched the issue in GitHub commit e0b6e58c328059829c3eb968136f17aa72b6c876. • https://github.com/tensorflow/tensorflow/commit/e0b6e58c328059829c3eb968136f17aa72b6c876 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f8h4-7rgh-q2gm • CWE-120: Buffer Copy without Checking Size of Input ('Classic Buffer Overflow') CWE-787: Out-of-bounds Write •
CVSS: 7.8EPSS: 0%CPEs: 6EXPL: 0CVE-2021-37662 – Reference binding to nullptr in boosted trees in TensorFlow
https://notcve.org/view.php?id=CVE-2021-37662
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can generate undefined behavior via a reference binding to nullptr in `BoostedTreesCalculateBestGainsPerFeature` and similar attack can occur in `BoostedTreesCalculateBestFeatureSplitV2`. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/stats_ops.cc) does not validate the input values. We have patched the issue in GitHub commit 9c87c32c710d0b5b53dc6fd3bfde4046e1f7a5ad and in commit 429f009d2b2c09028647dd4bb7b3f6f414bbaad7. The fix will be included in TensorFlow 2.6.0. • https://github.com/tensorflow/tensorflow/commit/429f009d2b2c09028647dd4bb7b3f6f414bbaad7 https://github.com/tensorflow/tensorflow/commit/9c87c32c710d0b5b53dc6fd3bfde4046e1f7a5ad https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f5cx-5wr3-5qrc • CWE-824: Access of Uninitialized Pointer •
CVSS: 7.8EPSS: 0%CPEs: 6EXPL: 0CVE-2021-37656 – Reference binding to nullptr in `RaggedTensorToSparse` in TensorFlow
https://notcve.org/view.php?id=CVE-2021-37656
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in `tf.raw_ops.RaggedTensorToSparse`. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/ragged_tensor_to_sparse_kernel.cc#L30) has an incomplete validation of the splits values: it does not check that they are in increasing order. We have patched the issue in GitHub commit 1071f554dbd09f7e101324d366eec5f4fe5a3ece. The fix will be included in TensorFlow 2.6.0. • https://github.com/tensorflow/tensorflow/commit/1071f554dbd09f7e101324d366eec5f4fe5a3ece https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4xfp-4pfp-89wg • CWE-824: Access of Uninitialized Pointer •
CVSS: 7.8EPSS: 0%CPEs: 6EXPL: 0CVE-2021-37657 – Reference binding to nullptr in `MatrixDiagV*` ops in TensorFlow
https://notcve.org/view.php?id=CVE-2021-37657
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all operations of type `tf.raw_ops.MatrixDiagV*`. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/linalg/matrix_diag_op.cc) has incomplete validation that the value of `k` is a valid tensor. We have check that this value is either a scalar or a vector, but there is no check for the number of elements. If this is an empty tensor, then code that accesses the first element of the tensor is wrong. • https://github.com/tensorflow/tensorflow/commit/f2a673bd34f0d64b8e40a551ac78989d16daad09 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5xwc-mrhx-5g3m • CWE-824: Access of Uninitialized Pointer •