CVSS: 6.5EPSS: 0%CPEs: 3EXPL: 1CVE-2022-21735 – Division by zero in Tensorflow
https://notcve.org/view.php?id=CVE-2022-21735
03 Feb 2022 — Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalMaxPool` can be made to crash a TensorFlow process via a division by 0. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. Tensorflow es un marco de aprendizaje automático de código abierto. • https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/fractional_max_pool_op.cc#L36-L192 • CWE-369: Divide By Zero •
CVSS: 6.5EPSS: 0%CPEs: 3EXPL: 0CVE-2022-23569 – `CHECK`-fails when building invalid tensor shapes in Tensorflow
https://notcve.org/view.php?id=CVE-2022-23569
03 Feb 2022 — Tensorflow is an Open Source Machine Learning Framework. Multiple operations in TensorFlow can be used to trigger a denial of service via `CHECK`-fails (i.e., assertion failures). This is similar to TFSA-2021-198 and has similar fixes. We have patched the reported issues in multiple GitHub commits. It is possible that other similar instances exist in TensorFlow, we will issue fixes as these are discovered. • https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md • CWE-617: Reachable Assertion •
CVSS: 6.5EPSS: 0%CPEs: 3EXPL: 1CVE-2022-21729 – Overflow and uncaught divide by zero in Tensorflow
https://notcve.org/view.php?id=CVE-2022-21729
03 Feb 2022 — Tensorflow is an Open Source Machine Learning Framework. The implementation of `UnravelIndex` is vulnerable to a division by zero caused by an integer overflow bug. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. Tensorflow es un marco de aprendizaje automático de código abierto. • https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/unravel_index_op.cc#L36-L135 • CWE-190: Integer Overflow or Wraparound •
CVSS: 6.5EPSS: 0%CPEs: 3EXPL: 1CVE-2022-21725 – Division by zero in Tensorflow
https://notcve.org/view.php?id=CVE-2022-21725
03 Feb 2022 — Tensorflow is an Open Source Machine Learning Framework. The estimator for the cost of some convolution operations can be made to execute a division by 0. The function fails to check that the stride argument is strictly positive. Hence, the fix is to add a check for the stride argument to ensure it is valid. The fix will be included in TensorFlow 2.8.0. • https://github.com/tensorflow/tensorflow/blob/ffa202a17ab7a4a10182b746d230ea66f021fe16/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L189-L198 • CWE-369: Divide By Zero •
CVSS: 7.6EPSS: 0%CPEs: 3EXPL: 1CVE-2022-21736 – Undefined behavior in Tensorflow
https://notcve.org/view.php?id=CVE-2022-21736
03 Feb 2022 — Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseTensorSliceDataset` has an undefined behavior: under certain condition it can be made to dereference a `nullptr` value. The 3 input arguments to `SparseTensorSliceDataset` represent a sparse tensor. However, there are some preconditions that these arguments must satisfy but these are not validated in the implementation. The fix will be included in TensorFlow 2.8.0. • https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/data/sparse_tensor_slice_dataset_op.cc#L227-L292 • CWE-476: NULL Pointer Dereference •
CVSS: 6.5EPSS: 0%CPEs: 3EXPL: 1CVE-2022-23567 – Integer overflows in Tensorflow
https://notcve.org/view.php?id=CVE-2022-23567
03 Feb 2022 — Tensorflow is an Open Source Machine Learning Framework. The implementations of `Sparse*Cwise*` ops are vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or `CHECK`-fails when building new `TensorShape` objects (so, assert failures based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. The fix will be included in TensorFlow... • https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_dense_binary_op_shared.cc • CWE-190: Integer Overflow or Wraparound •
CVSS: 6.5EPSS: 0%CPEs: 3EXPL: 1CVE-2022-23568 – Integer overflows in Tensorflow
https://notcve.org/view.php?id=CVE-2022-23568
03 Feb 2022 — Tensorflow is an Open Source Machine Learning Framework. The implementation of `AddManySparseToTensorsMap` is vulnerable to an integer overflow which results in a `CHECK`-fail when building new `TensorShape` objects (so, an assert failure based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow... • https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_tensors_map_ops.cc • CWE-190: Integer Overflow or Wraparound •
CVSS: 6.5EPSS: 0%CPEs: 3EXPL: 2CVE-2022-21731 – Type confusion leading to segfault in Tensorflow
https://notcve.org/view.php?id=CVE-2022-21731
03 Feb 2022 — Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ConcatV2` can be used to trigger a denial of service attack via a segfault caused by a type confusion. The `axis` argument is translated into `concat_dim` in the `ConcatShapeHelper` helper function. Then, a value for `min_rank` is computed based on `concat_dim`. This is then used to validate that the `values` tensor has at least the required rank. • https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/common_shape_fns.cc#L1961-L2059 • CWE-843: Access of Resource Using Incompatible Type ('Type Confusion') •
CVSS: 6.5EPSS: 0%CPEs: 3EXPL: 1CVE-2022-21733 – Memory exhaustion in Tensorflow
https://notcve.org/view.php?id=CVE-2022-21733
03 Feb 2022 — Tensorflow is an Open Source Machine Learning Framework. The implementation of `StringNGrams` can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on `pad_witdh` and that result in computing a negative value for `ngram_width` which is later used to allocate parts of the output. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, ... • https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/string_ngrams_op.cc#L29-L161 • CWE-190: Integer Overflow or Wraparound •
CVSS: 6.5EPSS: 0%CPEs: 3EXPL: 1CVE-2022-21732 – Memory exhaustion in Tensorflow
https://notcve.org/view.php?id=CVE-2022-21732
03 Feb 2022 — Tensorflow is an Open Source Machine Learning Framework. The implementation of `ThreadPoolHandle` can be used to trigger a denial of service attack by allocating too much memory. This is because the `num_threads` argument is only checked to not be negative, but there is no upper bound on its value. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. • https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/data/experimental/threadpool_dataset_op.cc#L79-L135 • CWE-770: Allocation of Resources Without Limits or Throttling •