CVSS: 8.8EPSS: 0%CPEs: 3EXPL: 1CVE-2022-21726 – Out of bounds read in Tensorflow
https://notcve.org/view.php?id=CVE-2022-21726
Tensorflow is an Open Source Machine Learning Framework. The implementation of `Dequantize` does not fully validate the value of `axis` and can result in heap OOB accesses. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of the array containing the dimensions of the input tensor. The fix will be included in TensorFlow 2.8.0. • https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/dequantize_op.cc#L92-L153 https://github.com/tensorflow/tensorflow/commit/23968a8bf65b009120c43b5ebcceaf52dbc9e943 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-23hm-7w47-xw72 • CWE-125: Out-of-bounds Read •
CVSS: 8.1EPSS: 0%CPEs: 3EXPL: 3CVE-2022-21728 – Out of bounds read in Tensorflow
https://notcve.org/view.php?id=CVE-2022-21728
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ReverseSequence` does not fully validate the value of `batch_dim` and can result in a heap OOB read. There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python's negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of `Dim` would access elements before the start of an array. The fix will be included in TensorFlow 2.8.0. • https://github.com/mwina/CVE-2022-21728-test https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/shape_inference.h#L415-L428 https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/ops/array_ops.cc#L1636-L1671 https://github.com/tensorflow/tensorflow/commit/37c01fb5e25c3d80213060460196406c43d31995 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6gmv-pjp9-p8w8 • CWE-125: Out-of-bounds Read •
CVSS: 8.1EPSS: 0%CPEs: 3EXPL: 1CVE-2022-21730 – Out of bounds read in Tensorflow
https://notcve.org/view.php?id=CVE-2022-21730
Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalAvgPoolGrad` does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. 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_avg_pool_op.cc#L209-L360 https://github.com/tensorflow/tensorflow/commit/002408c3696b173863228223d535f9de72a101a9 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vjg4-v33c-ggc4 • CWE-125: Out-of-bounds Read •
CVSS: 6.6EPSS: 0%CPEs: 5EXPL: 1CVE-2021-41227 – Arbitrary memory read in `ImmutableConst`
https://notcve.org/view.php?id=CVE-2021-41227
TensorFlow is an open source platform for machine learning. In affected versions the `ImmutableConst` operation in TensorFlow can be tricked into reading arbitrary memory contents. This is because the `tstring` TensorFlow string class has a special case for memory mapped strings but the operation itself does not offer any support for this datatype. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. • https://github.com/tensorflow/tensorflow/commit/1cb6bb6c2a6019417c9adaf9e6843ba75ee2580b https://github.com/tensorflow/tensorflow/commit/3712a2d3455e6ccb924daa5724a3652a86f6b585 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j8c8-67vp-6mx7 • CWE-125: Out-of-bounds Read •
CVSS: 7.8EPSS: 0%CPEs: 5EXPL: 1CVE-2021-41225 – A use of uninitialized value vulnerability in Tensorflow
https://notcve.org/view.php?id=CVE-2021-41225
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. • https://github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cbad185bf4761bedd3 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7r94-xv9v-63jw • CWE-908: Use of Uninitialized Resource •