TensorFlow is an open source platform for machine learning. When `AudioSummaryV2` receives an input `sample_rate` with more than one element, it gives a `CHECK` fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bf6b45244992e2ee543c258e519489659c99fb7f. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

TensorFlow is an open source platform for machine learning. The implementation of `FractionalAvgPoolGrad` does not fully validate the input `orig_input_tensor_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 03a659d7be9a1154fdf5eeac221e5950fec07dad. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

DNS Leak in Native System VPN in Google ChromeOS Dev Channel on ChromeOS 16002.23.0 allows network observers to expose plaintext DNS queries via failure to properly tunnel DNS traffic during VPN state transitions.

Incorrect JSON input stringification in Google's Tensorflow serving versions up to 2.18.0 allows for potentially unbounded recursion leading to server crash.

In ril, there is a possible system crash due to an incorrect bounds check. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07257259; Issue ID: ALPS07257259.

In Wi-Fi driver, there is a possible way to disconnect Wi-Fi due to an improper resource release. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07030600; Issue ID: ALPS07030600.

Google Chrome before 9.0.597.84 does not properly handle a missing key in an extension, which allows remote attackers to cause a denial of service (application crash) via a crafted extension.

Google Chrome before 8.0.552.237 and Chrome OS before 8.0.552.344 do not properly perform a cast of an unspecified variable during handling of video, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors.

Google Chrome before 9.0.597.84 on Mac OS X does not properly mitigate an unspecified flaw in the Mac OS X 10.5 SSL libraries, which allows remote attackers to cause a denial of service (application crash) via unknown vectors.

Google Chrome before 9.0.597.94 does not properly handle plug-ins, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

The CSSParser::parseFontFaceSrc function in WebCore/css/CSSParser.cpp in WebKit, as used in Google Chrome before 8.0.552.224, Chrome OS before 8.0.552.343, webkitgtk before 1.2.6, and other products does not properly parse Cascading Style Sheets (CSS) token sequences, which allows remote attackers to cause a denial of service (out-of-bounds read) via a crafted local font, related to "Type Confusion."

Google Chrome before 8.0.552.215 does not properly handle HTTP proxy authentication, which allows remote attackers to cause a denial of service (application crash) via unspecified vectors.

Google Chrome before 8.0.552.215 does not properly handle HTML5 databases, which allows attackers to cause a denial of service (application crash) via unspecified vectors.

Google Chrome before 6.0.472.59 on Linux does not properly handle cursors, which might allow attackers to cause a denial of service (assertion failure) via unspecified vectors.

In Minikin, there is a possible way to trigger ANR by showing a malicious message due to resource exhaustion. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.

In sdpu_extract_attr_seq of sdp_utils.cc, there is a possible out of bounds read due to an incorrect bounds check. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.

In SMF_ParseMetaEvent of eas_smf.c, there is a possible integer overflow. This could lead to remote denial of service due to resource exhaustion with no additional execution privileges needed. User interaction is needed for exploitation.

Unspecified vulnerability in the pop-up blocking functionality in Google Chrome before 6.0.472.59 allows remote attackers to cause a denial of service (application crash) via unknown vectors.

The Web Sockets implementation in Google Chrome before 7.0.517.41 does not properly handle a shutdown action, which allows remote attackers to cause a denial of service (application crash) via unspecified vectors.

Google Chrome before 5.0.375.99 does not properly implement modal dialogs, which allows attackers to cause a denial of service (application crash) via unspecified vectors.

Google Chrome before 4.1.249.1064 does not properly handle HTML5 media, which allows remote attackers to cause a denial of service (memory corruption) and possibly have unspecified other impact via unknown vectors.

Google Chrome before 4.1.249.1036 allows remote attackers to cause a denial of service (memory error) or possibly have unspecified other impact via a malformed SVG document.

Stack consumption vulnerability in the WebCore::CSSSelector function in WebKit, as used in Apple Safari 4.0.4, Apple Safari on iPhone OS and iPhone OS for iPod touch, and Google Chrome 4.0.249, allows remote attackers to cause a denial of service (application crash) or possibly execute arbitrary code via a STYLE element composed of a large number of *> sequences.

The ParamTraits<SkBitmap>::Read function in common/common_param_traits.cc in Google Chrome before 4.0.249.78 does not use the correct variables in calculations designed to prevent integer overflows, which allows attackers to leverage renderer access to cause a denial of service or possibly have unspecified other impact via bitmap data, related to deserialization.

Google Chrome 1.0.154.48 and earlier allows remote attackers to cause a denial of service (CPU consumption) via an automatically submitted form containing a KEYGEN element, a related issue to CVE-2009-1828.

Google Chrome 1.0.154.65, 1.0.154.48, and earlier allows remote attackers to (1) cause a denial of service (application hang) via vectors involving a chromehtml: URI value for the document.location property or (2) cause a denial of service (application hang and CPU consumption) via vectors involving a series of function calls that set a chromehtml: URI value for the document.location property.

Google Chrome 2.x through 2.0.172 allows remote attackers to cause a denial of service (application crash) via a long Unicode string argument to the write method, a related issue to CVE-2009-2479.

Google Chrome 1.0.154.53 allows remote attackers to cause a denial of service (NULL pointer dereference and application crash) via a throw statement with a long exception value.

In DeregAcceptProcINT of cn_NrmmStateDeregInit.cpp, there is a possible denial of service due to a logic error in the code. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.

In exif_data_load_data_content of exif-data.c, there is a possible UBSAN abort due to an integer overflow. This could lead to remote denial of service with no additional execution privileges needed. User interaction is needed for exploitation.Product: AndroidVersions: Android-10Android ID: A-146428941

In parseUriInternal of Intent.java, there is a possible infinite loop 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.

A lack of replay attack protection in GUTI REALLOCATION COMMAND message process in Qualcomm modem prior to SMR Oct-2021 Release 1 can lead to remote denial of service on mobile network connection.

parser.c in libxml2 before 2.9.0, as used in Google Chrome before 28.0.1500.71 and other products, allows remote attackers to cause a denial of service (out-of-bounds read) via a document that ends abruptly, related to the lack of certain checks for the XML_PARSER_EOF state.

Google V8, as used in Google Chrome before 27.0.1453.93, allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

In isWordBreakAfter of LayoutUtils.cpp, there is a possible way to slow or crash a TextView 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. Product: Android; Versions: Android-9, Android-10, Android-11, Android-8.0, Android-8.1; Android ID: A-170968514.

Google Chrome before 17.0.963.46 allows remote attackers to cause a denial of service (application crash) via vectors that trigger a large amount of database usage.

TensorFlow is an open source platform for machine learning. `DenseBincount` assumes its input tensor `weights` to either have the same shape as its input tensor `input` or to be length-0. A different `weights` shape will trigger a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bf4c14353c2328636a18bfad1e151052c81d5f43. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

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. In eager mode (default in TF 2.0 and later), session operations are invalid. However, users could still call the raw ops associated with them and trigger a null pointer dereference. The implementation(https://github.com/tensorflow/tensorflow/blob/eebb96c2830d48597d055d247c0e9aebaea94cd5/tensorflow/core/kernels/session_ops.cc#L104) dereferences the session state pointer without checking if it is valid. Thus, in eager mode, `ctx->session_state()` is nullptr and the call of the member function is 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 Samsung Exynos fimg2d driver for Android L(5.0/5.1) and M(6.0) allows attackers to have unspecified impact via unknown vectors. The Samsung ID is SVE-2016-6382.

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. 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. Incomplete validation in `SparseAdd` results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/sparse_add_op.cc) has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of `*_indices` matches the size of corresponding `*_shape`. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation. 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 in the implementation of `tf.raw_ops.EditDistance`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/79865b542f9ffdc9caeb255631f7c56f1d4b6517/tensorflow/core/kernels/edit_distance_op.cc#L103-L159) has incomplete validation of the input parameters. 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.SdcaOptimizer` triggers undefined behavior due to dereferencing a null pointer. The implementation(https://github.com/tensorflow/tensorflow/blob/60a45c8b6192a4699f2e2709a2645a751d435cc3/tensorflow/core/kernels/sdca_internal.cc) does not validate that the user supplied arguments satisfy all constraints expected by the op(https://www.tensorflow.org/api_docs/python/tf/raw_ops/SdcaOptimizer). 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.

TensorFlow is an end-to-end open source platform for machine learning. Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences. The conversion from Python array to C++ array(https://github.com/tensorflow/tensorflow/blob/ff70c47a396ef1e3cb73c90513da4f5cb71bebba/tensorflow/python/lib/core/ndarray_tensor.cc#L113-L169) is vulnerable to a type confusion. 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 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.

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.

NULL pointer dereference vulnerability in ION driver prior to SMR Sep-2021 Release 1 allows attackers to cause memory corruption.