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.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.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.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.

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, 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.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.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.

A vulnerability has been identified in SICAM P850 (All versions < V3.00), SICAM P850 (All versions < V3.00), SICAM P850 (All versions < V3.00), SICAM P850 (All versions < V3.00), SICAM P850 (All versions < V3.00), SICAM P850 (All versions < V3.00), SICAM P850 (All versions < V3.00), SICAM P850 (All versions < V3.00), SICAM P850 (All versions < V3.00), SICAM P850 (All versions < V3.00), SICAM P850 (All versions < V3.00), SICAM P850 (All versions < V3.00), SICAM P850 (All versions < V3.00), SICAM P850 (All versions < V3.00), SICAM P850 (All versions < V3.00), SICAM P850 (All versions < V3.00), SICAM P850 (All versions < V3.00), SICAM P850 (All versions < V3.00), SICAM P855 (All versions < V3.00), SICAM P855 (All versions < V3.00), SICAM P855 (All versions < V3.00), SICAM P855 (All versions < V3.00), SICAM P855 (All versions < V3.00), SICAM P855 (All versions < V3.00), SICAM P855 (All versions < V3.00), SICAM P855 (All versions < V3.00), SICAM P855 (All versions < V3.00), SICAM P855 (All versions < V3.00), SICAM P855 (All versions < V3.00), SICAM P855 (All versions < V3.00), SICAM P855 (All versions < V3.00), SICAM P855 (All versions < V3.00), SICAM P855 (All versions < V3.00), SICAM P855 (All versions < V3.00), SICAM P855 (All versions < V3.00), SICAM P855 (All versions < V3.00). Affected devices do not properly validate parameters of POST requests. This could allow an authenticated attacker to set the device to a denial of service state or to control the program counter and, thus, execute arbitrary code on the device.

Improper input validation vulnerability in Mangboard commerce package could lead to occur for abnormal request. A remote attacker can exploit this vulnerability to manipulate the total order amount into a negative number and then pay for the order.

Improper input validation vulnerability in HANDY Groupware’s ActiveX moudle allows attackers to download or execute arbitrary files. This vulnerability can be exploited by using the file download or execution path as the parameter value of the vulnerable function.

Improper Input Validation vulnerability in Mitsubishi Electric MELSEC iQ-F series FX5U-xMy/z(x=32,64,80, y=T,R, z=ES,DS,ESS,DSS) with serial number 17X**** or later and versions prior to 1.270, Mitsubishi Electric Mitsubishi Electric MELSEC iQ-F series FX5U-xMy/z(x=32,64,80, y=T,R, z=ES,DS,ESS,DSS) with serial number 179**** and prior and versions prior to 1.073, MELSEC iQ-F series FX5UC-xMy/z(x=32,64,96, y=T,R, z=D,DSS) with serial number 17X**** or later and versions prior to 1.270, Mitsubishi Electric MELSEC iQ-F series FX5UC-xMy/z(x=32,64,96, y=T,R, z=D,DSS) with serial number 179**** and prior and versions prior to 1.073, Mitsubishi Electric MELSEC iQ-F series FX5UC-32MT/DS-TS versions prior to 1.270, Mitsubishi Electric MELSEC iQ-F series FX5UC-32MT/DSS-TS versions prior to 1.270, Mitsubishi Electric MELSEC iQ-F series FX5UC-32MR/DS-TS versions prior to 1.270, Mitsubishi Electric MELSEC iQ-F series FX5UJ-xMy/z(x=24,40,60, y=T,R, z=ES,ESS) versions prior to 1.030, Mitsubishi Electric MELSEC iQ-F series FX5UJ-xMy/ES-A(x=24,40,60, y=T,R) versions prior to 1.031 and Mitsubishi Electric MELSEC iQ-F series FX5S-xMy/z(x=30,40,60,80, y=T,R, z=ES,ESS) version 1.000 allows a remote unauthenticated attacker to cause a temporary DoS condition for the product's communication by sending specially crafted packets.

Improper Input Validation vulnerability in Mitsubishi Electric MELSEC iQ-F series FX5U-xMy/z(x=32,64,80, y=T,R, z=ES,DS,ESS,DSS) with serial number 17X**** or later and versions prior to 1.270, Mitsubishi Electric Mitsubishi Electric MELSEC iQ-F series FX5U-xMy/z(x=32,64,80, y=T,R, z=ES,DS,ESS,DSS) with serial number 179**** and prior and versions prior to 1.073, MELSEC iQ-F series FX5UC-xMy/z(x=32,64,96, y=T,R, z=D,DSS) with serial number 17X**** or later and versions prior to 1.270, Mitsubishi Electric MELSEC iQ-F series FX5UC-xMy/z(x=32,64,96, y=T,R, z=D,DSS) with serial number 179**** and prior and versions prior to 1.073, Mitsubishi Electric MELSEC iQ-F series FX5UC-32MT/DS-TS versions prior to 1.270, Mitsubishi Electric MELSEC iQ-F series FX5UC-32MT/DSS-TS versions prior to 1.270, Mitsubishi Electric MELSEC iQ-F series FX5UC-32MR/DS-TS versions prior to 1.270, Mitsubishi Electric MELSEC iQ-F series FX5UJ-xMy/z(x=24,40,60, y=T,R, z=ES,ESS) versions prior to 1.030, Mitsubishi Electric MELSEC iQ-F series FX5UJ-xMy/ES-A(x=24,40,60, y=T,R) versions prior to 1.031 and Mitsubishi Electric MELSEC iQ-F series FX5S-xMy/z(x=30,40,60,80, y=T,R, z=ES,ESS) version 1.000 allows a remote unauthenticated attacker to cause a DoS condition for the product's program execution or communication by sending specially crafted packets. System reset of the product is required for recovery.

Improper Input Validation in GitHub repository jgraph/drawio prior to 18.0.6.

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.

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 or data tampering.

xArrow SCADA versions 7.2 and prior permits unvalidated registry keys to be run with application-level privileges.

Insufficient DRAM address validation in System Management Unit (SMU) may result in a DMA (Direct Memory Access) read/write from/to invalid DRAM address that could result in denial of service.