TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when `ctx->step_containter()` is a null ptr, the Lookup function will be executed with a null pointer. A fix is included in TensorFlow 2.12.0 and 2.11.1.

The URL loader in Google Chrome before 26.0.1410.43 allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

An exploitable denial-of-service vulnerability exists in the Weave error reporting functionality of the Nest Cam IQ Indoor, version 4620002. A specially crafted weave packets can cause an arbitrary Weave Exchange Session to close, resulting in a denial of service. An attacker can send a specially crafted packet to trigger this vulnerability.

An exploitable denial-of-service vulnerability exists in the Weave daemon of the Nest Cam IQ Indoor, version 4620002. A set of TCP connections can cause unrestricted resource allocation, resulting in a denial of service. An attacker can connect multiple times to trigger this vulnerability.

Improper access control for some Intel Unison software may allow an unauthenticated user to potentially enable denial of service via network access.

An exploitable denial-of-service vulnerability exists in the Weave certificate loading functionality of Nest Cam IQ Indoor camera, version 4620002. A specially crafted weave packet can cause an integer overflow and an out-of-bounds read on unmapped memory to occur, resulting in a denial of service. An attacker can send a specially crafted packet to trigger.

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.

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 doInBackground of NotificationContentInflater.java, there is a possible temporary denial or service due to long running operations. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-11 Android-12 Android-12L Android-13Android ID: A-252766417

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).

An issue was discovered on Samsung mobile devices with O(8.x) software. Attackers can disable Gallery permanently. The Samsung ID is SVE-2019-14031 (May 2019).

Product: AndroidVersions: Android kernelAndroid ID: A-229255400References: N/A

Skia, as used in Google Chrome before 23.0.1271.91, allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Skia, as used in Google Chrome before 23.0.1271.64, allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Google Chrome before 20.0.1132.43 does not properly implement texture conversion, which allows remote attackers to cause a denial of service (out-of-bounds read) 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.

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

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.

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

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.

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 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.

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 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.

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.

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.

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.

The Autofill feature in Google Chrome before 19.0.1084.46 does not properly restrict field values, which allows remote attackers to cause a denial of service (UI corruption) and possibly conduct spoofing attacks via vectors involving long values.

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

The SPDY implementation in net/http/http_network_transaction.cc in Google Chrome before 11.0.696.14 drains the bodies from SPDY responses, which might allow remote SPDY servers to cause a denial of service (application exit) by canceling a stream.

An issue was discovered on Samsung mobile devices with KK(4.4), L(5.0/5.1), and M(6.0) (AP + CP MDM9x35, or Qualcomm Onechip) software. There is a NULL pointer dereference issue in the IPC socket code. The Samsung ID is SVE-2016-5980 (July 2016).

An issue was discovered on Samsung mobile devices with KK(4.4), L(5.0/5.1), and M(6.0) software. BootReceiver allows attackers to trigger a system crash because of incorrect exception handling. The Samsung ID is SVE-2016-7118 (December 2016).

Google Chrome before 10.0.648.127 on Linux does not properly handle Unicode ranges, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Google Chrome before 8.0.552.237 and Chrome OS before 8.0.552.344 do not properly handle extensions notification, which allows remote attackers to cause a denial of service (application crash) via unspecified vectors.

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 LogResponse of Dns.cpp, there is a possible out of bounds read due to a missing bounds check. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-13Android ID: A-261079188

TensorFlow is an open source platform for machine learning. If `MirrorPadGrad` is given outsize input `paddings`, TensorFlow will give a heap OOB error. We have patched the issue in GitHub commit 717ca98d8c3bba348ff62281fdf38dcb5ea1ec92. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a `nullptr`, which is not caught. An example can be seen in `tf.compat.v1.extract_volume_patches` by passing in quantized tensors as input `ksizes`. We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When `tf.raw_ops.ResizeNearestNeighborGrad` is given a large `size` input, it overflows. We have patched the issue in GitHub commit 00c821af032ba9e5f5fa3fe14690c8d28a657624. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When `tf.raw_ops.FusedResizeAndPadConv2D` is given a large tensor shape, it overflows. We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When printing a tensor, we get it's data as a `const char*` array (since that's the underlying storage) and then we typecast it to the element type. However, conversions from `char` to `bool` are undefined if the `char` is not `0` or `1`, so sanitizers/fuzzers will crash. The issue has been patched in GitHub commit `1be74370327`. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1, TensorFlow 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When `tf.raw_ops.ImageProjectiveTransformV2` is given a large output shape, it overflows. We have patched the issue in GitHub commit 8faa6ea692985dbe6ce10e1a3168e0bd60a723ba. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9.

TensorFlow is an open source platform for machine learning. If `FractionMaxPoolGrad` is given outsize inputs `row_pooling_sequence` and `col_pooling_sequence`, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.