| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| An issue was discovered in SaltStack Salt in versions before 3002.8, 3003.4, 3004.1. Job publishes and file server replies are susceptible to replay attacks, which can result in an attacker replaying job publishes causing minions to run old jobs. File server replies can also be re-played. A sufficient craft attacker could gain root access on minion under certain scenarios. |
| An issue was discovered in SaltStack Salt in versions before 3002.8, 3003.4, 3004.1. A minion authentication denial of service can cause a MiTM attacker to force a minion process to stop by impersonating a master. |
| storeAtts in xmlparse.c in Expat (aka libexpat) before 2.4.3 has an integer overflow. |
| nextScaffoldPart in xmlparse.c in Expat (aka libexpat) before 2.4.3 has an integer overflow. |
| lookup in xmlparse.c in Expat (aka libexpat) before 2.4.3 has an integer overflow. |
| defineAttribute in xmlparse.c in Expat (aka libexpat) before 2.4.3 has an integer overflow. |
| build_model in xmlparse.c in Expat (aka libexpat) before 2.4.3 has an integer overflow. |
| addBinding in xmlparse.c in Expat (aka libexpat) before 2.4.3 has an integer overflow. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
