The Fast Communications Manager (FCM) in IBM DB2 Enterprise Server Edition and Advanced Enterprise Server Edition 10.1 before FP3 and 10.5, when a multi-node configuration is used, allows remote attackers to cause a denial of service via vectors involving arbitrary data.

The Search component in IBM WebSphere Commerce 7.0 FP4 through FP6, in certain search-term association configurations, allows remote attackers to cause a denial of service via a crafted query.

IBM DB2 for Linux, UNIX and Windows (includes Db2 Connect Server) 11.5 is vulnerable to denial of service when querying a specific UDF built-in function concurrently. IBM X-Force ID: 278547.

IBM Db2 for Linux, UNIX and Windows (includes DB2 Connect Server) 11.5 under certain circumstances could allow an authenticated user to the database to cause a denial of service when a statement is run on columnar tables. IBM X-Force ID: 273393.

IBM Storage Ceph 5.3z1, 5.3z5, and 6.1z1 could allow an authenticated user on the network to cause a denial of service from RGW. IBM X-Force ID: 268906.

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 Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 11.5 federated server is vulnerable to a denial of service when a specially crafted cursor is used. IBM X-Force ID: 268759.

IBM Db2 for Linux, UNIX and Windows (includes DB2 Connect Server) 11.5 CLI is vulnerable to a denial of service when a specially crafted request is used. IBM X-Force ID: 268073.

IBM MQ 9.0 LTS, 9.1 LTS, 9.2 LTS, 9.3 LTS and 9.3 CD is vulnerable to a denial-of-service attack due to an error within the MQ clustering logic. IBM X-Force ID: 268066.

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.

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 pmsvcs kernel extension to cause a denial of service. IBM X-Force ID: 267967.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 11.5 is vulnerable to denial of service with a specially crafted query statement. IBM X-Force ID: 263575.

IBM DB2 for Linux, UNIX and Windows (includes Db2 Connect Server) 10.5, 11.1, and 11.5 is vulnerable to denial of service with a specially crafted RUNSTATS command on an 8TB table. IBM X-Force ID: 264809.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 11.5 is vulnerable to denial of service with a specially crafted SQL statement using External Tables. IBM X-Force ID: 263499.

IBM Storwize V7000 Unified 1.3.x and 1.4.x before 1.4.2.0 does not properly handle device files that are created with the NFS protocol but accessed with a non-NFS protocol, which allows remote authenticated users to obtain sensitive information, modify programs or files, or cause a denial of service (device crash) via a (1) CIFS, (2) HTTPS, (3) SCP, or (4) SFTP operation.

IBM Db2 for Linux, UNIX, and Windows (includes Db2 Connect Server) 11.5 is vulnerable to a denial of service with a specially crafted SQL statement. IBM X-Force ID: 262613.

IBM Security Guardium Key Lifecycle Manager 4.3 could allow an authenticated user to manipulate username data due to improper input validation. IBM X-Force ID: 271228.

IBM UrbanCode Deploy (UCD) 7.1 through 7.1.2.14, 7.2 through 7.2.3.7, and 7.3 through 7.3.2.2 may mishandle input validation of an uploaded archive file leading to a denial of service due to resource exhaustion. IBM X-Force ID: 270799.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 10.5, 11.1, and 11.5 could allow an authenticated user with CONNECT privileges to cause a denial of service using a specially crafted query. IBM X-Force ID: 272644.

IBM DB2 for Linux, UNIX and Windows (includes Db2 Connect Server) 10.5, 11.1 and 11.5 could allow an authenticated user with CONNECT privileges to cause a denial of service using a specially crafted query. IBM X-Force ID: 270750.

Insufficient input validation in i40e driver for Intel(R) Ethernet 700 Series Controllers versions before 7.0 may allow an authenticated user to potentially enable a denial of service via local access.

Insufficient input validation in the Intel(R) SGX driver for Linux may allow an authenticated user to potentially enable a denial of service via local access.

Insufficient input validation in i40e driver for Intel(R) Ethernet 700 Series Controllers versions before 2.8.43 may allow an authenticated user to potentially enable a denial of service via local access.

Insufficient input validation in KMD module for Intel(R) Graphics Driver before version 10.18.14.5067 (aka 15.36.x.5067) and 10.18.10.5069 (aka 15.33.x.5069) may allow an authenticated user to potentially enable denial of service via local access.

A Denial Of Service vulnerability exists when Connected User Experiences and Telemetry Service fails to validate certain function values, aka "Connected User Experiences and Telemetry Service Denial of Service Vulnerability." This affects Windows Server 2016, Windows 10, Windows Server 2019, Windows 10 Servers.

The PV domain builder in Xen 4.2 and earlier does not validate the size of the kernel or ramdisk (1) before or (2) after decompression, which allows local guest administrators to cause a denial of service (domain 0 memory consumption) via a crafted (a) kernel or (b) ramdisk.

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.TensorSummaryV2` 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.

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, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior. 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.LSTMBlockCell` 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 does not validate the ranks of any of the arguments to this API call. This results in `CHECK`-failures when the elements of the tensor are accessed. 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.UnsortedSegmentJoin` 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 `num_segments` is a scalar 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.QuantizeAndDequantizeV4Grad` 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.

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.Conv3DBackpropFilterV2` 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 does not validate that the `filter_sizes` argument is a vector. 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.SparseTensorDenseAdd` does not fully validate the input arguments. In this case, a reference gets bound to a `nullptr` during kernel execution. This is undefined behavior. 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 `tf.compat.v1.signal.rfft2d` and `tf.compat.v1.signal.rfft3d` lack input validation and under certain condition can result in crashes (due to `CHECK`-failures). 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.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.StagePeek` 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 `index` is a scalar 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.

An exploitable denial-of-service vulnerability exists in the helper service of Clean My Mac X, version 4.04, due to improper input validation. A user with local access can use this vulnerability to terminate a privileged helper application. An attacker would need local access to the machine for a successful exploit.

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.DeleteSessionTensor` 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.

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.ragged.constant` does not fully validate the input arguments. This results in a denial of service by consuming all available memory. 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.

An exploitable local denial-of-service vulnerability exists in the privileged helper tool of GOG Galaxy's Games, version 1.2.47 for macOS. An attacker can send malicious data to the root-listening service, causing the application to terminate and become unavailable.

This issue was addressed with improved checks. This issue affected versions prior to iOS 12, macOS Mojave 10.14, tvOS 12, watchOS 5.

A validation issue was addressed with improved logic. This issue affected versions prior to macOS Mojave 10.14.

cPanel before 70.0.23 allows any user to disable Solr (SEC-371).

cPanel before 74.0.8 allows local users to disable the ClamAV daemon (SEC-409).

If the attacker manages to create files in the directory used to collect log files in supportutils before version 3.1-5.7.1 (e.g. with CVE-2018-19638) he can kill arbitrary processes on the local machine.

TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseReshape` results in a denial of service based on a `CHECK`-failure. The implementation(https://github.com/tensorflow/tensorflow/blob/e87b51ce05c3eb172065a6ea5f48415854223285/tensorflow/core/kernels/sparse_reshape_op.cc#L40) has no validation that the input arguments specify a valid sparse tensor. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are the only affected versions.

An issue was discovered in STOPzilla AntiMalware 6.5.2.59. The driver file szkg64.sys contains a Denial of Service vulnerability due to not validating the output buffer address value from IOCtl 0x8000204F.