TG Soft Vir.IT eXplorer Lite 8.5.42 allows local users to cause a denial of service (NULL pointer dereference) or possibly have unspecified other impact via a NULL value in a 0x82730020 DeviceIoControl request to \\.\Viragtlt.

TG Soft Vir.IT eXplorer Lite 8.5.42 allows local users to cause a denial of service (NULL pointer dereference) or possibly have unspecified other impact via a NULL value in a 0x82730008 DeviceIoControl request to \\.\Viragtlt.

In TG Soft Vir.IT eXplorer Lite 8.5.42, the driver file (VIRAGTLT.SYS) allows local users to cause a denial of service (BSOD) or possibly have unspecified other impact because of not validating input values from IOCtl 0x8273A0A0, a different vulnerability than CVE-2017-17800.

TG Soft Vir.IT eXplorer Lite 8.5.42 allows local users to cause a denial of service (BSOD) or possibly have unspecified other impact via a \\.\Viragtlt DeviceIoControl request of 0x82730054.

TG Soft Vir.IT eXplorer Lite 8.5.42 allows local users to cause a denial of service (BSOD) or possibly have unspecified other impact via a \\.\Viragtlt DeviceIoControl request of 0x82730074.

In TG Soft Vir.IT eXplorer Lite 8.5.65, the driver file (VIRAGTLT.SYS) allows local users to cause a denial of service (BSOD) or possibly have unspecified other impact because of not validating input values from IOCtl 0x827300A4.

In TG Soft Vir.IT eXplorer Lite 8.5.65, the driver file (VIRAGTLT.SYS) allows local users to cause a denial of service (BSOD) or possibly have unspecified other impact because of not validating input values from IOCtl 0x82736068, a different vulnerability than CVE-2017-17475.

In TG Soft Vir.IT eXplorer Lite 8.5.65, the driver file (VIRAGTLT.SYS) allows local users to cause a denial of service (BSOD) or possibly have unspecified other impact because of not validating input values from IOCtl 0x82730068.

In TG Soft Vir.IT eXplorer Lite 8.5.65, the driver file (VIRAGTLT.SYS) allows local users to cause a denial of service (BSOD) or possibly have unspecified other impact because of not validating input values from IOCtl 0x8273E080.

In TG Soft Vir.IT eXplorer Lite 8.5.65, the driver file (VIRAGTLT.SYS) allows local users to cause a denial of service (BSOD) or possibly have unspecified other impact because of not validating input values from IOCtl 0x8273E060.

TG Soft Vir.IT eXplorer Lite 8.5.42 allows local users to cause a denial of service (BSOD) or possibly have unspecified other impact via a \\.\Viragtlt DeviceIoControl request of 0x82736068.

TG Soft Vir.IT eXplorer Lite 8.5.42 allows local users to cause a denial of service (BSOD) or possibly have unspecified other impact via a \\.\Viragtlt DeviceIoControl request of 0x82730008, a different vulnerability than CVE-2017-16948.

In Vir.IT eXplorer Anti-Virus before 8.5.42, the driver file (VIAGLT64.SYS) contains an Arbitrary Write vulnerability because of not validating input values from IOCtl 0x8273007C.

TG Soft Vir.IT eXplorer Lite 8.5.42 allows local users to cause a denial of service (BSOD) or possibly have unspecified other impact via a \\.\Viragtlt DeviceIoControl request of 0x82730070.

TG Soft Vir.IT eXplorer Lite 8.5.42 allows local users to cause a denial of service (BSOD) or possibly have unspecified other impact via a \\.\Viragtlt DeviceIoControl request of 0x82730050.

TG Soft Vir.IT eXplorer Lite 8.5.42 allows local users to cause a denial of service (BSOD) or possibly have unspecified other impact via a \\.\Viragtlt DeviceIoControl request of 0x82732140.

TG Soft Vir.IT eXplorer Lite 8.5.42 allows local users to cause a denial of service (BSOD) or possibly have unspecified other impact via a \\.\Viragtlt DeviceIoControl request of 0x82730030.

TG Soft Vir.IT eXplorer Lite 8.5.42 allows local users to gain privileges or cause a denial of service (Arbitrary Write) via a \\.\Viragtlt DeviceIoControl request of 0x82730020, a different vulnerability than CVE-2017-17050.

In TG Soft Vir.IT eXplorer Lite 8.5.65, the driver file (VIRAGTLT.SYS) allows local users to cause a denial of service (BSOD) or possibly have unspecified other impact because of not validating input values from IOCtl 0x8273A0A0, a different vulnerability than CVE-2017-17798.

TG Soft Vir.IT eXplorer Lite 8.5.42 allows local users to gain privileges or cause a denial of service (Arbitrary Write) via a \\.\Viragtlt DeviceIoControl request of 0x82730088.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of SVDF in TFLite is [vulnerable to a null pointer error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/svdf.cc#L300-L313). The [`GetVariableInput` function](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/kernel_util.cc#L115-L119) can return a null pointer but `GetTensorData` assumes that the argument is always a valid tensor. Furthermore, because `GetVariableInput` calls [`GetMutableInput`](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/kernel_util.cc#L82-L90) which might return `nullptr`, the `tensor->is_variable` expression can also trigger a null pointer exception. We have patched the issue in GitHub commit 5b048e87e4e55990dae6b547add4dae59f4e1c76. 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. The implementation of TrySimplify(https://github.com/tensorflow/tensorflow/blob/c22d88d6ff33031aa113e48aa3fc9aa74ed79595/tensorflow/core/grappler/optimizers/arithmetic_optimizer.cc#L390-L401) has undefined behavior due to dereferencing a null pointer in corner cases that result in optimizing a node with no inputs. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.FusedBatchNorm` is vulnerable to a heap buffer overflow. If the tensors are empty, the same implementation can trigger undefined behavior by dereferencing null pointers. The implementation(https://github.com/tensorflow/tensorflow/blob/57d86e0db5d1365f19adcce848dfc1bf89fdd4c7/tensorflow/core/kernels/fused_batch_norm_op.cc) fails to validate that `scale`, `offset`, `mean` and `variance` (the last two only when required) all have the same number of elements as the number of channels of `x`. This results in heap out of bounds reads when the buffers backing these tensors are indexed past their boundary. If the tensors are empty, the validation mentioned in the above paragraph would also trigger and prevent the undefined behavior. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Null pointer dereference in Tianocore EDK2 may allow an authenticated user to potentially enable escalation of privilege via local access.

i915_gem_userptr_get_pages in drivers/gpu/drm/i915/i915_gem_userptr.c in the Linux kernel 4.15.0 on Ubuntu 18.04.2 allows local users to cause a denial of service (NULL pointer dereference and BUG) or possibly have unspecified other impact via crafted ioctl calls to /dev/dri/card0.

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, untrusted pointer dereference in update_userspace_power() function in power leads to information exposure.

Pointer corruption in the Unified Shader Compiler in Intel(R) Graphics Drivers before 10.18.14.5074 (aka 15.36.x.5074) may allow an authenticated user to potentially enable escalation of privilege via local access.

All versions of the NVIDIA Windows GPU Display Driver contain a vulnerability in the kernel mode layer (nvlddmkm.sys) handler for DxgkDdiEscape where a pointer passed from a user to the driver is not correctly validated before it is dereferenced for a write operation, may lead to denial of service or potential escalation of privileges.

In Omron CX-Supervisor Versions 3.30 and prior, processing a malformed packet by a certain executable may cause an untrusted pointer dereference vulnerability.

net/ipv4/route.c in the Linux kernel 4.13-rc1 through 4.13-rc6 is too late to check for a NULL fi field when RTM_F_FIB_MATCH is set, which allows local users to cause a denial of service (NULL pointer dereference) or possibly have unspecified other impact via crafted system calls. NOTE: this does not affect any stable release.

The graphic acceleration functions in VMware Tools 9.x and 10.x before 10.0.9 on OS X allow local users to gain privileges or cause a denial of service (NULL pointer dereference) via unspecified vectors, a different vulnerability than CVE-2016-7080.

The trace_writeback_dirty_page implementation in include/trace/events/writeback.h in the Linux kernel before 4.4 improperly interacts with mm/migrate.c, which allows local users to cause a denial of service (NULL pointer dereference and system crash) or possibly have unspecified other impact by triggering a certain page move.

In the cpuidle driver in all Android releases(Android for MSM, Firefox OS for MSM, QRD Android) from CAF using the Linux kernel, the list_for_each macro was not used correctly which could lead to an untrusted pointer dereference.

A KERedirect Untrusted Pointer Dereference Privilege Escalation vulnerability in Trend Micro Antivirus for Mac (Consumer) 7.0 (2017) and above could allow a local attacker to escalate privileges on vulnerable installations. The issue results from the lack of proper validation function on 0x6F4E offset user-supplied buffer. An attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability.

A KERedirect Untrusted Pointer Dereference Privilege Escalation vulnerability in Trend Micro Antivirus for Mac (Consumer) 7.0 (2017) and above could allow a local attacker to escalate privileges on vulnerable installations. The issue results from the lack of proper validation function on 0x6F6A offset user-supplied buffer. An attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability.

A KERedirect Untrusted Pointer Dereference Privilege Escalation vulnerability in Trend Micro Antivirus for Mac (Consumer) 7.0 (2017) and above could allow a local attacker to escalate privileges on vulnerable installations. The issue results from the lack of proper validation function on 0x6eDC offset user-supplied buffer. An attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability.

A ctl_set KERedirect Untrusted Pointer Dereference Privilege Escalation vulnerability in Trend Micro Antivirus for Mac (Consumer) 7.0 (2017) and above could allow a local attacker to escalate privileges on vulnerable installations. An attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability.

TensorFlow is an end-to-end open source platform for machine learning. Sending invalid argument for `row_partition_types` of `tf.raw_ops.RaggedTensorToTensor` API results in a null pointer dereference and undefined behavior. The [implementation](https://github.com/tensorflow/tensorflow/blob/47a06f40411a69c99f381495f490536972152ac0/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L328) accesses the first element of a user supplied list of values without validating that the provided list is not empty. We have patched the issue in GitHub commit 301ae88b331d37a2a16159b65b255f4f9eb39314. 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 open source platform for machine learning. In affected versions the code for boosted trees in TensorFlow is still missing validation. As a result, attackers can trigger denial of service (via dereferencing `nullptr`s or via `CHECK`-failures) as well as abuse undefined behavior (binding references to `nullptr`s). An attacker can also read and write from heap buffers, depending on the API that gets used and the arguments that are passed to the call. Given that the boosted trees implementation in TensorFlow is unmaintained, it is recommend to no longer use these APIs. We will deprecate TensorFlow's boosted trees APIs in subsequent releases. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

In all android releases(Android for MSM, Firefox OS for MSM, QRD Android) from CAF using the linux kernel, Null pointer dereference vulnerability may occur due to missing NULL assignment in NAT module of freed pointer.

In all android releases (Android for MSM, Firefox OS for MSM, QRD Android) from CAF using the linux kernel, asynchronous callbacks received a pointer to a callers local variable. Should the caller return early (e.g., timeout), the callback will dereference an invalid pointer.

TensorFlow is an end-to-end open source platform for machine learning. When restoring tensors via raw APIs, if the tensor name is not provided, TensorFlow can be tricked into dereferencing a null pointer. Alternatively, attackers can read memory outside the bounds of heap allocated data by providing some tensor names but not enough for a successful restoration. The [implementation](https://github.com/tensorflow/tensorflow/blob/47a06f40411a69c99f381495f490536972152ac0/tensorflow/core/kernels/save_restore_tensor.cc#L158-L159) retrieves the tensor list corresponding to the `tensor_name` user controlled input and immediately retrieves the tensor at the restoration index (controlled via `preferred_shard` argument). This occurs without validating that the provided list has enough values. If the list is empty this results in dereferencing a null pointer (undefined behavior). If, however, the list has some elements, if the restoration index is outside the bounds this results in heap OOB read. We have patched the issue in GitHub commit 9e82dce6e6bd1f36a57e08fa85af213e2b2f2622. 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.

The IofCallDriver function in USBPcap 1.1.0.0 allows local users to gain privileges via a crafted 0x00090028 IOCTL call, which triggers a NULL pointer dereference.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all binary cwise operations that don't require broadcasting (e.g., gradients of binary cwise operations). The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/cwise_ops_common.h#L264) assumes that the two inputs have exactly the same number of elements but does not check that. Hence, when the eigen functor executes it triggers heap OOB reads and undefined behavior due to binding to nullptr. We have patched the issue in GitHub commit 93f428fd1768df147171ed674fee1fc5ab8309ec. 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 the code for `tf.raw_ops.SaveV2` does not properly validate the inputs and an attacker can trigger a null pointer dereference. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/save_restore_v2_ops.cc) uses `ValidateInputs` to check that the input arguments are valid. This validation would have caught the illegal state represented by the reproducer above. However, the validation uses `OP_REQUIRES` which translates to setting the `Status` object of the current `OpKernelContext` to an error status, followed by an empty `return` statement which just terminates the execution of the function it is present in. However, this does not mean that the kernel execution is finalized: instead, execution continues from the next line in `Compute` that follows the call to `ValidateInputs`. This is equivalent to lacking the validation. We have patched the issue in GitHub commit 9728c60e136912a12d99ca56e106b7cce7af5986. 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.

Lack of Input Validation in SDMX API can lead to NULL pointer access in Snapdragon Automobile, Snapdragon Mobile and Snapdragon Wear in versions MDM9206, MDM9607, MDM9650, MSM8996AU, SD 210/SD 212/SD 205, SD 410/12, SD 425, SD 430, SD 450, SD 615/16/SD 415, SD 617, SD 625, SD 650/52, SD 810, SD 820, SD 820A, SD 835, SD 845, SD 850, SDA660 .

In the video_ioctl2() function in the camera driver in Android for MSM, Firefox OS for MSM, and QRD Android before 2017-09-16, an untrusted pointer dereference may potentially occur.

When an atomic commit is issued on a writeback panel with a NULL output_layer parameter in Android for MSM, Firefox OS for MSM, and QRD Android before 2017-06-03, a NULL pointer dereference may potentially occur.

All versions of NVIDIA Windows GPU Display Driver contain a vulnerability in the kernel mode layer (nvlddmkm.sys) handler for DxgkDdiEscape where an attempt to access an invalid object pointer may lead to denial of service or potential escalation of privileges.

All versions of NVIDIA Windows GPU Display Driver contain a vulnerability in the kernel mode layer handler where a NULL pointer dereference caused by invalid user input may lead to denial of service or potential escalation of privileges.