| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Tensorflow is an Open Source Machine Learning Framework. The implementations of `Sparse*Cwise*` ops are vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or `CHECK`-fails when building new `TensorShape` objects (so, assert failures based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. 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. |
| Improper input validation in the Intel(R) Data Center Manager software before version 4.1 may allow an authenticated user to potentially enable denial of service via local access. |
| H2 Console before 2.1.210 allows remote attackers to execute arbitrary code via a jdbc:h2:mem JDBC URL containing the IGNORE_UNKNOWN_SETTINGS=TRUE;FORBID_CREATION=FALSE;INIT=RUNSCRIPT substring, a different vulnerability than CVE-2021-42392. |
| Improper access control in the Intel(R) Data Center Manager software before version 4.1 may allow an unauthenticated user to potentially enable escalation of privilege via adjacent access. |
| Open Design Alliance Drawings SDK before 2022.12.1 mishandles the loading of JPG files. Unchecked input data from a crafted JPG file leads to memory corruption. An attacker can leverage this vulnerability to execute code in the context of the current process. |
| An issue was discovered in SaltStack Salt in versions before 3002.9, 3003.5, 3004.2. PAM auth fails to reject locked accounts, which allows a previously authorized user whose account is locked still run Salt commands when their account is locked. This affects both local shell accounts with an active session and salt-api users that authenticate via PAM eauth. |
| An issue was discovered in SaltStack Salt in versions before 3002.8, 3003.4, 3004.1. When configured as a Master-of-Masters, with a publisher_acl, if a user configured in the publisher_acl targets any minion connected to the Syndic, the Salt Master incorrectly interpreted no valid targets as valid, allowing configured users to target any of the minions connected to the syndic with their configured commands. This requires a syndic master combined with publisher_acl configured on the Master-of-Masters, allowing users specified in the publisher_acl to bypass permissions, publishing authorized commands to any configured minion. |
| 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. |
| 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. |
