TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.LoadAndRemapMatrix does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `initializing_values` is a vector but there is no validation for this before accessing its value. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.SparseTensorToCSRSparseMatrix` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `dense_shape` is a vector and `indices` is a matrix (as part of requirements for sparse tensors) but there is no validation for this. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.GetSessionTensor` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

NVIDIA GPU Display Driver for Windows contains a vulnerability in the kernel mode layer (nvlddmkm.sys) handler for DxgkDdiEscape, where improper input validation can cause denial of service.

NVIDIA GPU Display Driver for Windows contains a vulnerability in the kernel mode layer (nvlddmkm.sys) handler for DxgkDdiEscape, where the product receives input or data, but does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly, which may lead to denial of service.

The iscsi_if_rx function in drivers/scsi/scsi_transport_iscsi.c in the Linux kernel through 4.13.2 allows local users to cause a denial of service (panic) by leveraging incorrect length validation.

Improper input validation in the Intel(R) VROC software before version 7.7.6.1003 may allow an authenticated user to potentially enable denial of service via local access.

RedisBloom adds a set of probabilistic data structures to Redis. Starting in version 2.0.0 and prior to version 2.4.7 and 2.6.10, authenticated users can use the `CF.RESERVE` command to trigger a runtime assertion and termination of the Redis server process. The problem is fixed in RedisBloom 2.4.7 and 2.6.10.

Windows Kernel Denial of Service Vulnerability

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.

IBM Common Cryptographic Architecture (CCA 5.x MTM for 4767 and CCA 7.x MTM for 4769) could allow a local user to cause a denial of service due to improper input validation. IBM X-Force ID: 223596.

Improper input validation for some Intel(R) Processors may allow an authenticated user to potentially cause a denial of service via local access.

Improper input validation for some Intel(R) Xeon(R) Processors may allow a privileged user to potentially enable denial of service via local access.

In get of PacProxyService.java, there is a possible system service crash due to improper input validation. This could lead to local denial of service with User execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12 Android-12LAndroid ID: A-219498290

In registerPhoneAccount of PhoneAccountRegistrar.java, there is a possible way to prevent the user from selecting a phone account due to improper input validation. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12 Android-12LAndroid ID: A-217934478

OpenHarmony v3.2.1 and prior version has a system call function usage error. Local attackers can crash kernel by the error input.

IBM AIX's 7.3 Python implementation could allow a non-privileged local user to exploit a vulnerability to cause a denial of service. IBM X-Force ID: 267965.

IBM AIX 7.2 and 7.3 could allow a non-privileged local user to exploit a vulnerability in the AIX SMB client to cause a denial of service. IBM X-Force ID: 267963.

IBM AIX 7.2, 7.3, and VIOS 3.1 could allow a non-privileged local user to exploit a vulnerability in the kernel to cause a denial of service. IBM X-Force ID: 267969.

IBM AIX 7.2, 7.3, and VIOS 3.1 could allow a non-privileged local user to exploit a vulnerability in the TCP/IP kernel extension to cause a denial of service. IBM X-Force ID: 267973.

IBM AIX 7.2, 7.3, and VIOS 3.1 could allow a non-privileged local user to exploit a vulnerability in AIX windows to cause a denial of service. IBM X-Force ID: 267970.

Antiy Antivirus Engine 5.0.0.06281654 allows local users to cause a denial of service (BSOD) via a long third argument in a DeviceIoControl call.

An IBM UrbanCode Deploy Agent 7.2 through 7.2.3.7, and 7.3 through 7.3.2.2 installed as a Windows service in a non-standard location could be subject to a denial of service attack by local accounts. IBM X-Force ID: 265509.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions under certain conditions, Go code can trigger a segfault in string deallocation. For string tensors, `C.TF_TString_Dealloc` is called during garbage collection within a finalizer function. However, tensor structure isn't checked until encoding to avoid a performance penalty. The current method for dealloc assumes that encoding succeeded, but segfaults when a string tensor is garbage collected whose encoding failed (e.g., due to mismatched dimensions). To fix this, the call to set the finalizer function is deferred until `NewTensor` returns and, if encoding failed for a string tensor, deallocs are determined based on bytes written. We have patched the issue in GitHub commit 8721ba96e5760c229217b594f6d2ba332beedf22. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, which is the other affected version.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for `tf.raw_ops.Dequantize` has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/array_ops.cc#L2999-L3014) uses `axis` to select between two different values for `minmax_rank` which is then used to retrieve tensor dimensions. However, code assumes that `axis` can be either `-1` or a value greater than `-1`, with no validation for the other values. We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.MapStage`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/map_stage_op.cc#L513) does not check that the `key` input is a valid non-empty tensor. We have patched the issue in GitHub commit d7de67733925de196ec8863a33445b73f9562d1d. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in `tf.raw_ops.MaxPoolGrad` caused by missing validation. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/maxpooling_op.cc) misses some validation for the `orig_input` and `orig_output` tensors. The fixes for CVE-2021-29579 were incomplete. We have patched the issue in GitHub commit 136b51f10903e044308cf77117c0ed9871350475. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

All versions of NVIDIA Linux GPU Display Driver contain a vulnerability in the kernel mode layer handler where improper validation of an input parameter may cause a denial of service on the system.

in OpenHarmony v5.0.3 and prior versions allow a local attacker cause DOS through improper input.

All versions of the NVIDIA Windows GPU Display Driver contain a vulnerability in the kernel mode layer handler for DxgkDdiEscape where it may access paged memory while holding a spinlock, leading to a denial of service.

in OpenHarmony v5.0.3 and prior versions allow a local attacker cause DOS through improper input.

The cgroup offline implementation in the Linux kernel through 4.8.11 mishandles certain drain operations, which allows local users to cause a denial of service (system hang) by leveraging access to a container environment for executing a crafted application, as demonstrated by trinity.

IBM AIX 7.1 and 7.2 allows a local user to open a file with a specially crafted argument that would crash the system. IBM APARs: IV91488, IV91487, IV91456, IV90234.

The x86 segment base write emulation functionality in Xen 4.4.x through 4.7.x allows local x86 PV guest OS administrators to cause a denial of service (host crash) by leveraging lack of canonical address checks.

The mpi_powm function in lib/mpi/mpi-pow.c in the Linux kernel through 4.8.11 does not ensure that memory is allocated for limb data, which allows local users to cause a denial of service (stack memory corruption and panic) via an add_key system call for an RSA key with a zero exponent.

A vulnerability has been identified in SIMATIC RTLS Locating Manager (All versions < V2.12). The affected application does not properly handle the import of large configuration files. A local attacker could import a specially crafted file which could lead to a denial-of-service condition of the application service.

The manager_invoke_notify_message function in systemd 231 and earlier allows local users to cause a denial of service (assertion failure and PID 1 hang) via a zero-length message received over a notify socket.

The manager_dispatch_notify_fd function in systemd allows local users to cause a denial of service (system hang) via a zero-length message received over a notify socket, which causes an error to be returned and the notification handler to be disabled.

fs/overlayfs/dir.c in the OverlayFS filesystem implementation in the Linux kernel before 4.6 does not properly verify the upper dentry before proceeding with unlink and rename system-call processing, which allows local users to cause a denial of service (system crash) via a rename system call that specifies a self-hardlink.