CVSS: 7.8EPSS: 0%CPEs: 6EXPL: 0CVE-2021-37658 – Reference binding to nullptr in `MatrixSetDiagV*` ops in TensorFlow
https://notcve.org/view.php?id=CVE-2021-37658
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.MatrixSetDiagV*`. 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/ff8894044dfae5568ecbf2ed514c1a37dc394f1b https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6p5r-g9mq-ggh2 • CWE-824: Access of Uninitialized Pointer •
CVSS: 5.5EPSS: 0%CPEs: 6EXPL: 0CVE-2021-37644 – `std::abort` raised from `TensorListReserve` in TensorFlow
https://notcve.org/view.php?id=CVE-2021-37644
TensorFlow is an end-to-end open source platform for machine learning. In affected versions providing a negative element to `num_elements` list argument of `tf.raw_ops.TensorListReserve` causes the runtime to abort the process due to reallocating a `std::vector` to have a negative number of elements. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/list_kernels.cc#L312) calls `std::vector.resize()` with the new size controlled by input given by the user, without checking that this input is valid. We have patched the issue in GitHub commit 8a6e874437670045e6c7dc6154c7412b4a2135e2. The fix will be included in TensorFlow 2.6.0. • https://github.com/tensorflow/tensorflow/commit/8a6e874437670045e6c7dc6154c7412b4a2135e2 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-27j5-4p9v-pp67 • CWE-617: Reachable Assertion •
CVSS: 7.3EPSS: 0%CPEs: 6EXPL: 0CVE-2021-37654 – Heap OOB and CHECK fail in `ResourceGather` in TensorFlow
https://notcve.org/view.php?id=CVE-2021-37654
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a crash via a `CHECK`-fail in debug builds of TensorFlow using `tf.raw_ops.ResourceGather` or a read from outside the bounds of heap allocated data in the same API in a release build. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/resource_variable_ops.cc#L660-L668) does not check that the `batch_dims` value that the user supplies is less than the rank of the input tensor. Since the implementation uses several for loops over the dimensions of `tensor`, this results in reading data from outside the bounds of heap allocated buffer backing the tensor. We have patched the issue in GitHub commit bc9c546ce7015c57c2f15c168b3d9201de679a1d. • https://github.com/tensorflow/tensorflow/commit/bc9c546ce7015c57c2f15c168b3d9201de679a1d https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2r8p-fg3c-wcj4 • CWE-125: Out-of-bounds Read •
CVSS: 7.3EPSS: 0%CPEs: 6EXPL: 0CVE-2021-37641 – Heap OOB in `RaggedGather` in TensorFlow
https://notcve.org/view.php?id=CVE-2021-37641
TensorFlow is an end-to-end open source platform for machine learning. In affected versions if the arguments to `tf.raw_ops.RaggedGather` don't determine a valid ragged tensor code can trigger a read from outside of bounds of heap allocated buffers. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/ragged_gather_op.cc#L70) directly reads the first dimension of a tensor shape before checking that said tensor has rank of at least 1 (i.e., it is not a scalar). Furthermore, the implementation does not check that the list given by `params_nested_splits` is not an empty list of tensors. We have patched the issue in GitHub commit a2b743f6017d7b97af1fe49087ae15f0ac634373. • https://github.com/tensorflow/tensorflow/commit/a2b743f6017d7b97af1fe49087ae15f0ac634373 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c8h-vvrj-w2p8 • CWE-125: Out-of-bounds Read •
CVSS: 7.3EPSS: 0%CPEs: 6EXPL: 0CVE-2021-37635 – Heap out of bounds access in sparse reduction operations in TensorFlow
https://notcve.org/view.php?id=CVE-2021-37635
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of sparse reduction operations in TensorFlow can trigger accesses outside of bounds of heap allocated data. The [implementation](https://github.com/tensorflow/tensorflow/blob/a1bc56203f21a5a4995311825ffaba7a670d7747/tensorflow/core/kernels/sparse_reduce_op.cc#L217-L228) fails to validate that each reduction group does not overflow and that each corresponding index does not point to outside the bounds of the input tensor. We have patched the issue in GitHub commit 87158f43f05f2720a374f3e6d22a7aaa3a33f750. The fix will be included in TensorFlow 2.6.0. • https://github.com/tensorflow/tensorflow/commit/87158f43f05f2720a374f3e6d22a7aaa3a33f750 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cgfm-62j4-v4rf • CWE-125: Out-of-bounds Read •