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: 7.8EPSS: 0%CPEs: 3EXPL: 0CVE-2021-41203 – Missing validation during checkpoint loading
https://notcve.org/view.php?id=CVE-2021-41203
TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behavior, integer overflows, segfaults and `CHECK`-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints loading infrastructure is missing validation for invalid file formats. The fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits 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/368af875869a204b4ac552b9ddda59f6a46a56ec https://github.com/tensorflow/tensorflow/commit/abcced051cb1bd8fb05046ac3b6023a7ebcc4578 https://github.com/tensorflow/tensorflow/commit/b619c6f865715ca3b15ef1842b5b95edbaa710ad https://github.com/tensorflow/tensorflow/commit/e8dc63704c88007ee4713076605c90188d66f3d2 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7pxj-m4jf-r6h2 • CWE-190: Integer Overflow or Wraparound CWE-345: Insufficient Verification of Data Authenticity •
CVSS: 5.5EPSS: 0%CPEs: 3EXPL: 1CVE-2021-41215 – Null pointer exception in `DeserializeSparse`
https://notcve.org/view.php?id=CVE-2021-41215
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `DeserializeSparse` can trigger a null pointer dereference. This is because the shape inference function assumes that the `serialize_sparse` tensor is a tensor with positive rank (and having `3` as the last dimension). 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/d3738dd70f1c9ceb547258cbb82d853da8771850 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x3v8-c8qx-3j3r • CWE-476: NULL Pointer Dereference •