The SPDY implementation in Google Chrome before 21.0.1180.89 allows remote attackers to cause a denial of service (application crash) via unspecified vectors.

Google Chrome before 21.0.1180.57 on Linux does not properly isolate renderer processes, which allows remote attackers to cause a denial of service (cross-process interference) via unspecified vectors.

The XSL implementation in Google Chrome before 20.0.1132.43 allows remote attackers to cause a denial of service (incorrect read operation) via unspecified vectors.

The extension system in Google Chrome before 22.0.1229.79 does not properly handle modal dialogs, which allows remote attackers to cause a denial of service (application crash) via unspecified vectors.

Skia, as used in Google Chrome before 22.0.1229.79, allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

An issue was discovered on Samsung mobile devices with N(7.x) and O(8.x) (Broadcom Wi-Fi, and SEC Wi-Fi chipsets) software. Wi-Fi allows a denial of service via TCP SYN packets. The Samsung ID is SVE-2018-13162 (March 2019).

TensorFlow is an end-to-end open source platform for machine learning. Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. This issue has been patched in version 2.12. TensorFlow will also cherrypick the fix commit on TensorFlow 2.11.1.

An issue was discovered on Samsung mobile devices with P(9.0) (Exynos chipsets) software. The MALI GPU Driver allows a kernel panic. The Samsung ID is SVE-2019-14372 (August 2019).

Google V8 computes hash values for form parameters without restricting the ability to trigger hash collisions predictably, which allows remote attackers to cause a denial of service (CPU consumption) by sending many crafted parameters, as demonstrated by attacks against Node.js.

Google Chrome before 14.0.835.163 does not properly handle boxes, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

The Cascading Style Sheets (CSS) implementation in Google Chrome before 16.0.912.63 on 64-bit platforms does not properly manage property arrays, which allows remote attackers to cause a denial of service (memory corruption) via unspecified vectors.

TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 are vulnerable to integer overflow in EditDistance. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

Google Chrome before 17.0.963.46 does not properly check signatures, which allows remote attackers to cause a denial of service (application crash) via unspecified vectors.

Google Chrome before 15.0.874.120 does not properly implement the MKV and Vorbis media handlers, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Google Chrome before 17.0.963.46 does not properly handle PDF FAX images, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Google Chrome before 16.0.912.63 does not properly perform regex matching, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Unspecified vulnerability in Google Chrome before 17.0.963.46 allows remote attackers to cause a denial of service (application crash) via a crafted certificate.

libxml2, as used in Google Chrome before 16.0.912.63, allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Google Chrome before 16.0.912.63 does not properly handle PDF documents, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

The shader translator implementation in Google Chrome before 17.0.963.46 allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Google Chrome before 16.0.912.63 does not properly parse SVG documents, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Google Chrome before 19.0.1084.46 does not properly handle Tibetan text, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Google Chrome before 14.0.835.163 does not properly handle Tibetan characters, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Google Chrome before 19.0.1084.46 does not properly draw hairlines, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Google Chrome before 19.0.1084.46 does not properly draw dash paths, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Google Chrome before 17.0.963.83 does not properly restrict the extension web request API, which allows remote attackers to cause a denial of service (disrupted system requests) via a crafted extension.

TensorFlow is an open source platform for machine learning. The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by overflowing the number of elements in a tensor. This issue has been patched in GitHub commit 61f0f9b94df8c0411f0ad0ecc2fec2d3f3c33555. 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. When `SetSize` receives an input `set_shape` that is not a 1D tensor, it gives a `CHECK` fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit cf70b79d2662c0d3c6af74583641e345fc939467. 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. When `DrawBoundingBoxes` receives an input `boxes` that is not of dtype `float`, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit da0d65cdc1270038e72157ba35bf74b85d9bda11. 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.

Skia, as used in Google Chrome before 19.0.1084.52, allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Google V8, as used in Google Chrome before 19.0.1084.52, allows remote attackers to cause a denial of service (invalid read operation) via unspecified vectors.

TensorFlow is an open source platform for machine learning. When `tf.random.gamma` receives large input shape and rates, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit 552bfced6ce4809db5f3ca305f60ff80dd40c5a3. 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.

Use-after-free vulnerability in the PDF functionality in Google Chrome before 19.0.1084.52 allows remote attackers to cause a denial of service or possibly have unspecified other impact via an invalid encrypted document.

TensorFlow is an open source platform for machine learning. If `QuantizedAdd` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. 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 `RaggedRangOp` function takes an argument `limits` that is eventually used to construct a `TensorShape` as an `int64`. If `limits` is a very large float, it can overflow when converted to an `int64`. This triggers an `InvalidArgument` but also throws an abort signal that crashes the program. We have patched the issue in GitHub commit 37cefa91bee4eace55715eeef43720b958a01192. 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 `UnbatchGradOp` function takes an argument `id` that is assumed to be a scalar. A nonscalar `id` can trigger a `CHECK` failure and crash the program. It also requires its argument `batch_index` to contain three times the number of elements as indicated in its `batch_index.dim_size(0)`. An incorrect `batch_index` can trigger a `CHECK` failure and crash the program. We have patched the issue in GitHub commit 5f945fc6409a3c1e90d6970c9292f805f6e6ddf2. 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.

Google Chrome before 14.0.835.163 does not properly handle media buffers, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

TensorFlow is an open source platform for machine learning. When `tf.linalg.matrix_rank` receives an empty input `a`, the GPU kernel gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a. 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.

A double-free vulnerability exists in WebKit in Google Chrome before Blink M12 in the WebCore::CSSSelector function.

browser/profiles/profile_impl_io_data.cc in Google Chrome before 19.0.1084.46 does not properly handle a malformed ftp URL in the SRC attribute of a VIDEO element, which allows remote attackers to cause a denial of service (NULL pointer dereference and application crash) via a crafted web page.

TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_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 9178ac9d6389bdc54638ab913ea0e419234d14eb. 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.

Google Chrome before 14.0.835.163 does not properly handle video, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

TensorFlow is an open source platform for machine learning. If `Save` or `SaveSlices` is run over tensors of an unsupported `dtype`, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 5dd7b86b84a864b834c6fa3d7f9f51c87efa99d4. 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. If `SparseBincount` is given inputs for `indices`, `values`, and `dense_shape` that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa. 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.

An Integer Overflow exists in WebKit in Google Chrome before Blink M11 in the macOS WebCore::GraphicsContext::fillRect function.

TensorFlow is an open source platform for machine learning. When `RangeSize` receives values that do not fit into an `int64_t`, it crashes. We have patched the issue in GitHub commit 37e64539cd29fcfb814c4451152a60f5d107b0f0. 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. When `TensorListFromTensor` receives an `element_shape` of a rank greater than one, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit 3db59a042a38f4338aa207922fa2f476e000a6ee. 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 SobolSampleOp is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by assuming `input(0)`, `input(1)`, and `input(2)` to be scalar. This issue has been patched in GitHub commit c65c67f88ad770662e8f191269a907bf2b94b1bf. 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.

Google Chrome before 10.0.648.127 on Linux does not properly handle parallel execution of calls to the print method, which might allow remote attackers to cause a denial of service (application crash) via crafted JavaScript code.

A parsing issue similar to CVE-2022-3171, but with Message-Type Extensions in protobuf-java core and lite versions prior to 3.21.7, 3.20.3, 3.19.6 and 3.16.3 can lead to a denial of service attack. Inputs containing multiple instances of non-repeated embedded messages with repeated or unknown fields causes objects to be converted back-n-forth between mutable and immutable forms, resulting in potentially long garbage collection pauses. We recommend updating to the versions mentioned above.