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3732 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2021-30543 | 2 Fedoraproject, Google | 2 Fedora, Chrome | 2021-11-23 | 6.8 MEDIUM | 8.8 HIGH |
| Use after free in Tab Strip in Google Chrome prior to 91.0.4472.77 allowed an attacker who convinced a user to install a malicious extension to potentially exploit heap corruption via a crafted HTML page. | |||||
| CVE-2021-30542 | 2 Fedoraproject, Google | 2 Fedora, Chrome | 2021-11-23 | 6.8 MEDIUM | 8.8 HIGH |
| Use after free in Tab Strip in Google Chrome prior to 91.0.4472.77 allowed an attacker who convinced a user to install a malicious extension to potentially exploit heap corruption via a crafted HTML page. | |||||
| CVE-2017-3100 | 6 Adobe, Apple, Google and 3 more | 11 Flash Player, Mac Os X, Macos and 8 more | 2021-11-23 | 5.0 MEDIUM | 7.5 HIGH |
| Adobe Flash Player versions 26.0.0.131 and earlier have an exploitable memory corruption vulnerability in the Action Script 2 BitmapData class. Successful exploitation could lead to memory address disclosure. | |||||
| CVE-2016-4150 | 8 Adobe, Apple, Google and 5 more | 17 Flash Player, Flash Player For Linux, Mac Os X and 14 more | 2021-11-22 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4149 | 8 Adobe, Apple, Google and 5 more | 17 Flash Player, Flash Player For Linux, Mac Os X and 14 more | 2021-11-22 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4155 | 8 Adobe, Apple, Google and 5 more | 17 Flash Player, Flash Player For Linux, Mac Os X and 14 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4154 | 8 Adobe, Apple, Google and 5 more | 17 Flash Player, Flash Player For Linux, Mac Os X and 14 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4153 | 8 Adobe, Apple, Google and 5 more | 17 Flash Player, Flash Player For Linux, Mac Os X and 14 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4152 | 8 Adobe, Apple, Google and 5 more | 17 Flash Player, Flash Player For Linux, Mac Os X and 14 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4151 | 6 Adobe, Apple, Google and 3 more | 14 Flash Player, Flash Player For Linux, Mac Os X and 11 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4156 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4148 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4147 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4145 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4137 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4136 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4135 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4139 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4141 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4140 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4142 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4143 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4134 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4133 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4144 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4131 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4132 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4146 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2020-15203 | 2 Google, Opensuse | 2 Tensorflow, Leap | 2021-11-18 | 5.0 MEDIUM | 7.5 HIGH |
| In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. | |||||
| CVE-2020-15193 | 2 Google, Opensuse | 2 Tensorflow, Leap | 2021-11-18 | 5.5 MEDIUM | 7.1 HIGH |
| In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor. However, there is nothing stopping users from passing in a Python object instead of a tensor. The uninitialized memory address is due to a `reinterpret_cast` Since the `PyObject` is a Python object, not a TensorFlow Tensor, the cast to `EagerTensor` fails. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1. | |||||
| CVE-2020-15195 | 2 Google, Opensuse | 2 Tensorflow, Leap | 2021-11-18 | 6.5 MEDIUM | 8.8 HIGH |
| In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of `SparseFillEmptyRowsGrad` uses a double indexing pattern. It is possible for `reverse_index_map(i)` to be an index outside of bounds of `grad_values`, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. | |||||
| CVE-2020-15266 | 1 Google | 1 Tensorflow | 2021-11-18 | 5.0 MEDIUM | 7.5 HIGH |
| In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved. | |||||
| CVE-2021-43189 | 2 Google, Jetbrains | 2 Android, Youtrack Mobile | 2021-11-15 | 7.5 HIGH | 7.3 HIGH |
| In JetBrains YouTrack Mobile before 2021.2, access token protection on Android is incomplete. | |||||
| CVE-2021-41225 | 1 Google | 1 Tensorflow | 2021-11-10 | 2.1 LOW | 7.8 HIGH |
| 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. | |||||
| CVE-2021-41221 | 1 Google | 1 Tensorflow | 2021-11-10 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the `Cudnn*` operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain values. 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. | |||||
| CVE-2021-41220 | 1 Google | 1 Tensorflow | 2021-11-10 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an open source platform for machine learning. In affected versions the async implementation of `CollectiveReduceV2` suffers from a memory leak and a use after free. This occurs due to the asynchronous computation and the fact that objects that have been `std::move()`d from are still accessed. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected. | |||||
| CVE-2021-41228 | 1 Google | 1 Tensorflow | 2021-11-10 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's `saved_model_cli` tool is vulnerable to a code injection as it calls `eval` on user supplied strings. This can be used by attackers to run arbitrary code on the plaform where the CLI tool runs. However, given that the tool is always run manually, the impact of this is not severe. We have patched this by adding a `safe` flag which defaults to `True` and an explicit warning for users. 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. | |||||
| CVE-2021-41208 | 1 Google | 1 Tensorflow | 2021-11-09 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an open source platform for machine learning. In affected versions the code for boosted trees in TensorFlow is still missing validation. As a result, attackers can trigger denial of service (via dereferencing `nullptr`s or via `CHECK`-failures) as well as abuse undefined behavior (binding references to `nullptr`s). An attacker can also read and write from heap buffers, depending on the API that gets used and the arguments that are passed to the call. Given that the boosted trees implementation in TensorFlow is unmaintained, it is recommend to no longer use these APIs. We will deprecate TensorFlow's boosted trees APIs in subsequent releases. 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. | |||||
| CVE-2021-41206 | 1 Google | 1 Tensorflow | 2021-11-09 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or `CHECK`-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible. We have discovered these issues internally via tooling while working on improving/testing GPU op determinism. As such, we don't have reproducers and there will be multiple fixes for these issues. These 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. | |||||
| CVE-2021-41214 | 1 Google | 1 Tensorflow | 2021-11-09 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `tf.ragged.cross` has an undefined behavior due to binding a reference to `nullptr`. 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. | |||||
| CVE-2021-41219 | 1 Google | 1 Tensorflow | 2021-11-09 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to `nullptr`. This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. 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. | |||||
| CVE-2021-41201 | 1 Google | 1 Tensorflow | 2021-11-09 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an open source platform for machine learning. In affeced versions during execution, `EinsumHelper::ParseEquation()` is supposed to set the flags in `input_has_ellipsis` vector and `*output_has_ellipsis` boolean to indicate whether there is ellipsis in the corresponding inputs and output. However, the code only changes these flags to `true` and never assigns `false`. This results in unitialized variable access if callers assume that `EinsumHelper::ParseEquation()` always sets these flags. 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. | |||||
| CVE-2021-41210 | 1 Google | 1 Tensorflow | 2021-11-09 | 3.6 LOW | 7.1 HIGH |
| TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for `SparseCountSparseOutput` can trigger a read outside of bounds of heap allocated array. 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. | |||||
| CVE-2021-41216 | 1 Google | 1 Tensorflow | 2021-11-09 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. 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. | |||||
| CVE-2021-41203 | 1 Google | 1 Tensorflow | 2021-11-09 | 4.6 MEDIUM | 7.8 HIGH |
| 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. | |||||
| CVE-2021-41223 | 1 Google | 1 Tensorflow | 2021-11-09 | 3.6 LOW | 7.1 HIGH |
| TensorFlow is an open source platform for machine learning. In affected versions the implementation of `FusedBatchNorm` kernels is vulnerable to a heap OOB access. 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. | |||||
| CVE-2021-41224 | 1 Google | 1 Tensorflow | 2021-11-09 | 3.6 LOW | 7.1 HIGH |
| TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SparseFillEmptyRows` can be made to trigger a heap OOB access. This occurs whenever the size of `indices` does not match the size of `values`. 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. | |||||
| CVE-2021-41212 | 1 Google | 1 Tensorflow | 2021-11-09 | 3.6 LOW | 7.1 HIGH |
| TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `tf.ragged.cross` can trigger a read outside of bounds of heap allocated array. 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. | |||||
| CVE-2021-41226 | 1 Google | 1 Tensorflow | 2021-11-09 | 3.6 LOW | 7.1 HIGH |
| TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SparseBinCount` is vulnerable to a heap OOB access. This is because of missing validation between the elements of the `values` argument and the shape of the sparse output. 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. | |||||
| CVE-2021-41211 | 1 Google | 1 Tensorflow | 2021-11-09 | 3.6 LOW | 7.1 HIGH |
| TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `QuantizeV2` can trigger a read outside of bounds of heap allocated array. This occurs whenever `axis` is a negative value less than `-1`. In this case, we are accessing data before the start of a heap buffer. The code allows `axis` to be an optional argument (`s` would contain an `error::NOT_FOUND` error code). Otherwise, it assumes that `axis` is a valid index into the dimensions of the `input` tensor. If `axis` is less than `-1` then this results in a heap OOB read. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected. | |||||