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Export limit exceeded: 339475 CVEs match your query. Please refine your search to export 10,000 CVEs or fewer.
Export limit exceeded: 339475 CVEs match your query. Please refine your search to export 10,000 CVEs or fewer.
Export limit exceeded: 339475 CVEs match your query. Please refine your search to export 10,000 CVEs or fewer.
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Search Results (339475 CVEs found)
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2022-22826 | 5 Debian, Libexpat Project, Redhat and 2 more | 6 Debian Linux, Libexpat, Enterprise Linux and 3 more | 2025-05-05 | 8.8 High |
| nextScaffoldPart in xmlparse.c in Expat (aka libexpat) before 2.4.3 has an integer overflow. | ||||
| CVE-2022-22825 | 5 Debian, Libexpat Project, Redhat and 2 more | 6 Debian Linux, Libexpat, Enterprise Linux and 3 more | 2025-05-05 | 8.8 High |
| lookup in xmlparse.c in Expat (aka libexpat) before 2.4.3 has an integer overflow. | ||||
| CVE-2022-22824 | 5 Debian, Libexpat Project, Redhat and 2 more | 6 Debian Linux, Libexpat, Enterprise Linux and 3 more | 2025-05-05 | 9.8 Critical |
| defineAttribute in xmlparse.c in Expat (aka libexpat) before 2.4.3 has an integer overflow. | ||||
| CVE-2022-22823 | 5 Debian, Libexpat Project, Redhat and 2 more | 6 Debian Linux, Libexpat, Enterprise Linux and 3 more | 2025-05-05 | 9.8 Critical |
| build_model in xmlparse.c in Expat (aka libexpat) before 2.4.3 has an integer overflow. | ||||
| CVE-2022-22822 | 5 Debian, Libexpat Project, Redhat and 2 more | 6 Debian Linux, Libexpat, Enterprise Linux and 3 more | 2025-05-05 | 9.8 Critical |
| addBinding in xmlparse.c in Expat (aka libexpat) before 2.4.3 has an integer overflow. | ||||
| CVE-2022-22730 | 1 Intel | 1 Edge Insights For Industrial | 2025-05-05 | 9.8 Critical |
| Improper authentication in the Intel(R) Edge Insights for Industrial software before version 2.6.1 may allow an unauthenticated user to potentially enable escalation of privilege via network access. | ||||
| CVE-2022-22139 | 1 Intel | 1 Extreme Tuning Utility | 2025-05-05 | 7.3 High |
| Uncontrolled search path in the Intel(R) XTU software before version 7.3.0.33 may allow an authenticated user to potentially enable escalation of privilege via local access. | ||||
| CVE-2022-21812 | 1 Intel | 1 Hardware Accelerated Execution Manager | 2025-05-05 | 7.8 High |
| Improper access control in the Intel(R) HAXM software before version 7.7.1 may allow an authenticated user to potentially enable escalation of privilege via local access. | ||||
| CVE-2022-21807 | 1 Intel | 1 Vtune Profiler | 2025-05-05 | 7.8 High |
| Uncontrolled search path elements in the Intel(R) VTune(TM) Profiler software before version 2022.2.0 may allow an authenticated user to potentially enable escalation of privilege via local access. | ||||
| CVE-2022-21793 | 2 Intel, Vmware | 10 82599 10 Gigabit Ethernet Controller, Ethernet Controller X540, Ethernet Controller X550 and 7 more | 2025-05-05 | 5.5 Medium |
| Insufficient control flow management in the Intel(R) Ethernet 500 Series Controller drivers for VMWare before version 1.11.4.0 and in the Intel(R) Ethernet 700 Series Controller drivers for VMWare before version 2.1.5.0 may allow an authenticated user to potentially enable a denial of service via local access. | ||||
| CVE-2022-21741 | 1 Google | 1 Tensorflow | 2025-05-05 | 6.5 Medium |
| Tensorflow is an Open Source Machine Learning Framework. ### Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division that the divisor is strictly positive. 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. | ||||
| CVE-2022-21740 | 1 Google | 1 Tensorflow | 2025-05-05 | 7.6 High |
| Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseCountSparseOutput` is vulnerable to a heap overflow. 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. | ||||
| CVE-2022-21739 | 1 Google | 1 Tensorflow | 2025-05-05 | 6.5 Medium |
| Tensorflow is an Open Source Machine Learning Framework. The implementation of `QuantizedMaxPool` has an undefined behavior where user controlled inputs can trigger a reference binding to null pointer. 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. | ||||
| CVE-2022-21738 | 1 Google | 1 Tensorflow | 2025-05-05 | 6.5 Medium |
| Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseCountSparseOutput` can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation. 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. | ||||
| CVE-2022-21737 | 1 Google | 1 Tensorflow | 2025-05-05 | 6.5 Medium |
| Tensorflow is an Open Source Machine Learning Framework. The implementation of `*Bincount` operations allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. 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. | ||||
| CVE-2022-21736 | 1 Google | 1 Tensorflow | 2025-05-05 | 7.6 High |
| 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. 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. | ||||
| CVE-2022-21735 | 1 Google | 1 Tensorflow | 2025-05-05 | 6.5 Medium |
| 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. | ||||
| CVE-2022-21734 | 1 Google | 1 Tensorflow | 2025-05-05 | 6.5 Medium |
| Tensorflow is an Open Source Machine Learning Framework. The implementation of `MapStage` is vulnerable a `CHECK`-fail if the key tensor is not a scalar. 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. | ||||
| CVE-2022-21733 | 1 Google | 1 Tensorflow | 2025-05-05 | 4.3 Medium |
| 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, as these are also affected and still in supported range. | ||||
| CVE-2022-21731 | 1 Google | 1 Tensorflow | 2025-05-05 | 6.5 Medium |
| 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. However, `WithRankAtLeast` receives the lower bound as a 64-bits value and then compares it against the maximum 32-bits integer value that could be represented. Due to the fact that `min_rank` is a 32-bits value and the value of `axis`, the `rank` argument is a negative value, so the error check is bypassed. 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. | ||||