| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| 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 `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 `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 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. 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 shape inference for `Dequantize` is vulnerable to an integer overflow weakness. 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, since the code computes `axis + 1`, an attacker can trigger an integer 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 `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. 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. |
| pgjdbc is the offical PostgreSQL JDBC Driver. A security hole was found in the jdbc driver for postgresql database while doing security research. The system using the postgresql library will be attacked when attacker control the jdbc url or properties. pgjdbc instantiates plugin instances based on class names provided via `authenticationPluginClassName`, `sslhostnameverifier`, `socketFactory`, `sslfactory`, `sslpasswordcallback` connection properties. However, the driver did not verify if the class implements the expected interface before instantiating the class. This can lead to code execution loaded via arbitrary classes. Users using plugins are advised to upgrade. There are no known workarounds for this issue. |
| Improper buffer restrictions for some Intel(R) NUC 9 Extreme Laptop Kit drivers before version 2.2.0.22 may allow an authenticated user to potentially enable escalation of privilege via local access. |
| Improper neutralization in the Intel(R) Data Center Manager software before version 4.1 may allow an authenticated user to potentially enable escalation of privilege via adjacent access. |
| Improper restriction of XML external entity for Intel(R) Quartus(R) Prime Pro Edition before version 21.3 may allow an authenticated user to potentially enable escalation of privilege via local access. |
| Improper restriction of XML external entity reference in DSP Builder Pro for Intel(R) Quartus(R) Prime Pro Edition before version 21.3 may allow an unauthenticated user to potentially enable information disclosure via network access. |
| Improper permissions for Intel(R) Quartus(R) Prime Pro Edition before version 21.3 may allow an authenticated user to potentially enable escalation of privilege via local access. |
| Improper permissions in the SafeNet Sentinel driver for Intel(R) Quartus(R) Prime Standard Edition before version 21.1 may allow an authenticated user to potentially enable escalation of privilege via local access. |
| Improper input validation for some Intel(R) PROSet/Wireless WiFi products may allow an unauthenticated user to potentially enable denial of service via network access. |
| Improper input validation for some Intel(R) PROSet/Wireless WiFi and Killer(TM) WiFi products may allow a privileged user to potentially enable escalation of privilege via local access. |
| Improper access control in a third-party component of Intel(R) Quartus(R) Prime Pro Edition before version 21.3 may allow an authenticated user to potentially enable escalation of privilege via local access. |
| Improper buffer restrictions for some Intel(R) PROSet/Wireless WiFi products may allow an unauthenticated user to potentially enable denial of service via network access. |
| Improper access control in the Intel(R) Edge Insights for Industrial software before version 2.6.1 may allow an authenticated user to potentially enable escalation of privilege via local access. |
| Inadequate encryption strength for some Intel(R) PROSet/Wireless WiFi products may allow an unauthenticated user to potentially enable escalation of privilege via adjacent access. |
| Insufficient control flow management in the Intel(R) Advisor software before version 7.6.0.37 may allow an authenticated user to potentially enable escalation of privilege via local access. |
