Improper input validationation for some Intel Unison software may allow a privileged user to potentially enable denial of service via local access.

In parseUsesPermission of ParsingPackageUtils.java, there is a possible boot loop due to resource exhaustion. This could lead to local denial of service with no additional execution privileges needed. User interaction is needed for exploitation.Product: AndroidVersions: Android-13Android ID: A-259942609

In wlan driver, there is a possible missing params check. This could lead to local denial of service in wlan services.

The bash_completion script for fscrypt allows injection of commands via crafted mountpoint paths, allowing privilege escalation under a specific set of circumstances. A local user who has control over mountpoint paths could potentially escalate their privileges if they create a malicious mountpoint path and if the system administrator happens to be using the fscrypt bash completion script to complete mountpoint paths. We recommend upgrading to version 0.3.3 or above

In getService of IServiceManager.cpp, there is a possible unhandled exception due to an integer overflow. This could lead to local denial of service making the lockscreen unusable with no additional execution privileges needed. User interaction is needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-9Android ID: A-197336441

In ellipsize of Layout.java, there is a possible ANR due to improper input validation. This could lead to local denial of service with no additional execution privileges needed. User interaction is needed for exploitation.Product: AndroidVersions: Android-9 Android-10 Android-11 Android-8.1Android ID: A-188913943

In the keystore library, there is a possible prevention of access to system Settings due to unsafe deserialization. This could lead to local denial of service with User execution privileges needed. User interaction is needed for exploitation.Product: AndroidVersions: Android-12LAndroid ID: A-213172664

Type confusion in Histogram in Google Chrome prior to 56.0.2924.76 for Linux, Windows and Mac, and 56.0.2924.87 for Android, allowed a remote attacker to potentially exploit a near null dereference via a crafted HTML page.

In Qualcomm Android for MSM, Firefox OS for MSM, and QRD Android with all Android releases from CAF using the Linux kernel before security patch level 2018-04-05, in a power driver ioctl handler, an Untrusted Pointer Dereference may potentially occur.

TensorFlow is an open source platform for machine learning. In affected versions the process of building the control flow graph for a TensorFlow model is vulnerable to a null pointer exception when nodes that should be paired are not. This occurs because the code assumes that the first node in the pairing (e.g., an `Enter` node) always exists when encountering the second node (e.g., an `Exit` node). When this is not the case, `parent` is `nullptr` so dereferencing it causes a crash. 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.

An issue was discovered on Samsung mobile devices with M(6.0) software. There is a NULL pointer exception in WifiService via adb-cmd, causing memory corruption. The Samsung ID is SVE-2017-8287 (June 2017).

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `DeserializeSparse` can trigger a null pointer dereference. This is because the shape inference function assumes that the `serialize_sparse` tensor is a tensor with positive rank (and having `3` as the last dimension). 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.

there is a possible Null Pointer Dereference (modem crash) due to improper input validation. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.

In reinit of HeifDecoderImpl.cpp, there is a possible crash due to a missing null check. This could lead to remote persistent denial of service in the file picker with no additional execution privileges needed. User interaction is needed for exploitation.Product: AndroidVersions: Android-11 Android-12 Android-12LAndroid ID: A-215002587

drivers/video/msm/mdss/mdss_mdp_pp.c in the Qualcomm MDSS driver in Android before 2016-10-05 allows attackers to cause a denial of service (invalid pointer access) or possibly have unspecified other impact via unknown vectors, aka Qualcomm internal bug CR 1004933.

TensorFlow is an end-to-end open source platform for machine learning. The code for `tf.raw_ops.UncompressElement` can be made to trigger a null pointer dereference. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/data/experimental/compression_ops.cc#L50-L53) obtains a pointer to a `CompressedElement` from a `Variant` tensor and then proceeds to dereference it for decompressing. There is no check that the `Variant` tensor contained a `CompressedElement`, so the pointer is actually `nullptr`. We have patched the issue in GitHub commit 7bdf50bb4f5c54a4997c379092888546c97c3ebd. 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. It is possible to trigger a null pointer dereference in TensorFlow by passing an invalid input to `tf.raw_ops.CompressElement`. The [implementation](https://github.com/tensorflow/tensorflow/blob/47a06f40411a69c99f381495f490536972152ac0/tensorflow/core/data/compression_utils.cc#L34) was accessing the size of a buffer obtained from the return of a separate function call before validating that said buffer is valid. We have patched the issue in GitHub commit 5dc7f6981fdaf74c8c5be41f393df705841fb7c5. 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. 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.

Adobe Flash Player before 10.3.183.20 and 11.x before 11.3.300.257 on Windows and Mac OS X; before 10.3.183.20 and 11.x before 11.2.202.236 on Linux; before 11.1.111.10 on Android 2.x and 3.x; and before 11.1.115.9 on Android 4.x, and Adobe AIR before 3.3.0.3610, allows attackers to execute arbitrary code or cause a denial of service (NULL pointer dereference) via unspecified vectors.

In DRM service, there is a possible system crash due to null pointer dereference. This could lead to local denial of service with System execution privileges needed.

An elevation of privilege vulnerability in SurfaceFlinger could enable a local malicious application to execute arbitrary code within the context of a privileged process. This issue is rated as High because it could be used to gain local access to elevated capabilities, which are not normally accessible to a third-party application. Product: Android. Versions: 4.4.4, 5.0.2, 5.1.1, 6.0, 6.0.1, 7.0, 7.1.1. Android ID: A-32628763.

In multiple locations, there is a possible permissions bypass due to a missing null check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a null pointer dereference in the implementation of `tf.raw_ops.SparseFillEmptyRows`. This is because of missing validation(https://github.com/tensorflow/tensorflow/blob/fdc82089d206e281c628a93771336bf87863d5e8/tensorflow/core/kernels/sparse_fill_empty_rows_op.cc#L230-L231) that was covered under a `TODO`. If the `dense_shape` tensor is empty, then `dense_shape_t.vec<>()` would cause a null pointer dereference in the implementation of the op. 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 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. An attacker can trigger undefined behavior by binding to null pointer in `tf.raw_ops.ParameterizedTruncatedNormal`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/3f6fe4dfef6f57e768260b48166c27d148f3015f/tensorflow/core/kernels/parameterized_truncated_normal_op.cc#L630) does not validate input arguments before accessing the first element of `shape`. If `shape` argument is empty, then `shape_tensor.flat<T>()` is an empty array. 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. Calling `tf.raw_ops.RaggedTensorToVariant` with arguments specifying an invalid ragged tensor results in a null pointer dereference. The implementation of `RaggedTensorToVariant` operations(https://github.com/tensorflow/tensorflow/blob/904b3926ed1c6c70380d5313d282d248a776baa1/tensorflow/core/kernels/ragged_tensor_to_variant_op.cc#L39-L40) does not validate that the ragged tensor argument is non-empty. Since `batched_ragged` contains no elements, `batched_ragged.splits` is a null vector, thus `batched_ragged.splits(0)` will result in dereferencing `nullptr`. 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. An attacker can trigger a null pointer dereference by providing an invalid `permutation` to `tf.raw_ops.SparseMatrixSparseCholesky`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/080f1d9e257589f78b3ffb75debf584168aa6062/tensorflow/core/kernels/sparse/sparse_cholesky_op.cc#L85-L86) fails to properly validate the input arguments. Although `ValidateInputs` is called and there are checks in the body of this function, the code proceeds to the next line in `ValidateInputs` since `OP_REQUIRES`(https://github.com/tensorflow/tensorflow/blob/080f1d9e257589f78b3ffb75debf584168aa6062/tensorflow/core/framework/op_requires.h#L41-L48) is a macro that only exits the current function. Thus, the first validation condition that fails in `ValidateInputs` will cause an early return from that function. However, the caller will continue execution from the next line. The fix is to either explicitly check `context->status()` or to convert `ValidateInputs` to return a `Status`. 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 `MatrixDiag*` operations(https://github.com/tensorflow/tensorflow/blob/4c4f420e68f1cfaf8f4b6e8e3eb857e9e4c3ff33/tensorflow/core/kernels/linalg/matrix_diag_op.cc#L195-L197) does not validate that the tensor arguments are non-empty. 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.

WebKit in Google Chrome before Blink M11 and M12 does not properly handle counter nodes, which allows remote attackers to cause a denial of service (memory corruption).

The counterToCSSValue function in CSSComputedStyleDeclaration.cpp in the Cascading Style Sheets (CSS) implementation in WebCore in WebKit before r82222, as used in Google Chrome before 11.0.696.43 and other products, does not properly handle access to the (1) counterIncrement and (2) counterReset attributes of CSSStyleDeclaration data provided by a getComputedStyle method call, which allows remote attackers to cause a denial of service (NULL pointer dereference and application crash) via crafted JavaScript code.

browser/worker_host/message_port_dispatcher.cc in Google Chrome before 8.0.552.224 and Chrome OS before 8.0.552.343 does not properly handle certain postMessage calls, which allows remote attackers to cause a denial of service (NULL pointer dereference and application crash) via crafted JavaScript code that creates a web worker.

In ss_SendCallBarringPwdRequiredIndMsg of ss_CallBarring.c, there is a possible null pointer deref due to a missing null check. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.

The WebSockets implementation in Google Chrome before 6.0.472.53 allows remote attackers to cause a denial of service (NULL pointer dereference and application crash) via unspecified vectors.

A other vulnerability in the Android media framework (n/a). Product: Android. Versions: 7.0, 7.1.1, 7.1.2, 8.0, 8.1. ID: A-68342866.

In avrc_ctrl_pars_vendor_rsp of avrc_pars_ct.cc, there is a possible NULL pointer dereference due to missing bounds checks. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Product: Android. Versions: 7.0, 7.1.1, 7.1.2, 8.0, 8.1. Android ID: A-71603553.

Nullptr dereference when a null char is present in a proto symbol. The symbol is parsed incorrectly, leading to an unchecked call into the proto file's name during generation of the resulting error message. Since the symbol is incorrectly parsed, the file is nullptr. We recommend upgrading to version 3.15.0 or greater.

Adobe Flash Player version 32.0.0.433 (and earlier) are affected by an exploitable NULL pointer dereference vulnerability that could result in a crash and arbitrary code execution. Exploitation of this issue requires an attacker to insert malicious strings in an HTTP response that is by default delivered over TLS/SSL.

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, as a result of a race condition between two userspace processes that interact with the driver concurrently, a null pointer dereference can potentially occur.

An issue was discovered on Samsung mobile devices with N(7.x), O(8.0), and P(9.0) (Qualcomm chipsets) software. The Authnr Trustlet has a NULL pointer dereference. The Samsung ID is SVE-2019-13949 (May 2019).

An issue was discovered on Samsung mobile devices with N(7.x), O(8.0), and P(9.0) (Qualcomm chipsets) software. The ESECOMM Trustlet has a NULL pointer dereference. The Samsung ID is SVE-2019-13950 (May 2019).

In modem-ps-nas-ngmm, there is a possible undefined behavior due to incorrect error handling. This could lead to remote information disclosure no additional execution privileges needed

In Core Kernel in all Android releases from CAF using the Linux kernel, a Null Pointer Dereference vulnerability could potentially exist.

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, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don't yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

In multiple locations, there is a possible null dereference due to a missing null check. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.

A remote denial of service vulnerability in HevcUtils.cpp in libstagefright in Mediaserver could enable an attacker to use a specially crafted file to cause a device hang or reboot. This issue is rated as Low due to details specific to the vulnerability. Product: Android. Versions: 7.0, 7.1.1, 7.1.2. Android ID: A-35467107.

In line libavcodec/h264dec.c:500 in libav(v13_dev0), ffmpeg(n3.4), chromium(56 prior Feb 13, 2017), the return value of init_get_bits is ignored and get_ue_golomb(&gb) is called on an uninitialized get_bits context, which causes a NULL deref exception.

A denial of service vulnerability in the Android media framework. Product: Android. Versions: 6.0, 6.0.1, 7.0, 7.1.1, 7.1.2. Android ID: A-34231231.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a null pointer dereference, which would result in a crash and denial of service. This is caused by the MLIR optimization of `L2NormalizeReduceAxis` operator. The [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/compiler/mlir/lite/transforms/optimize.cc#L67-L70) unconditionally dereferences a pointer to an iterator to a vector without checking that the vector has elements. We have patched the issue in GitHub commit d6b57f461b39fd1aa8c1b870f1b974aac3554955. 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.

Google TensorFlow 1.6.x and earlier is affected by: Null Pointer Dereference. The type of exploitation is: context-dependent.