Out of bounds read in SwiftShader in Google Chrome prior to 77.0.3865.75 allowed a remote attacker to obtain potentially sensitive information from process memory via a crafted HTML page.

Incorrect optimization assumptions in V8 in Google Chrome prior to 72.0.3626.81 allowed a remote attacker to execute arbitrary code inside a sandbox via a crafted HTML page.

In cd_ParseMsg of cd_codec.c, there is a possible out of bounds read due to an incorrect bounds check. This could lead to remote information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-181782896References: N/A

A memory corruption bug in WebAssembly could lead to out of bounds read and write through V8 in WebAssembly in Google Chrome prior to 62.0.3202.62 allowed a remote attacker to execute arbitrary code inside a sandbox via a crafted HTML page.

In all android releases (Android for MSM, Firefox OS for MSM, QRD Android) from CAF using the linux kernel, while processing the function for writing device values into flash, uninitialized memory can be written to flash.

In iaxxx_btp_write_words of iaxxx-btp.c, there is a possible out of bounds read due to an incorrect bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-198653629References: N/A

In avrc_ctrl_pars_vendor_rsp of avrc_pars_ct.cc, there is a possible out of bounds read due to a missing bounds check. This could lead to remote information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12 Android-12LAndroid ID: A-205837191

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, in msm_flash_subdev_do_ioctl of drivers/media/platform/msm/camera_v2/sensor/flash/msm_flash.c, there is a possible out of bounds read if flash_data.cfg_type is CFG_FLASH_INIT due to improper input validation. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation.

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, while processing PTT commands, ptt_sock_send_msg_to_app() is invoked without validating the packet length. If the packet length is invalid, then a buffer over-read can occur.

In l2cble_process_sig_cmd of l2c_ble.cc, there is a possible out of bounds read due to a missing bounds check. This could lead to remote information disclosure through Bluetooth with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12 Android-12LAndroid ID: A-212694559

In TuningProviderBase::GetTuningTreeSet of tuning_provider_base.cc, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-205753190References: N/A

In TBD of TBD, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-206472503References: N/A

In startVideoStream() there is a possibility of an OOB Read in the heap, when the camera buffer is ‘zero’ in size.Product: AndroidVersions: Android-11Android ID: A-205097028

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 onActivityResult of EditUserPhotoController.java, there is a possible cross-user media read due to a confused deputy. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.

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.

The compositor in Google Chrome before 22.0.1229.92 allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

While flashing meta image, a buffer over-read may potentially occur when the image size is smaller than the image header size or is smaller than the image header size + total image header entry in Android releases from CAF using the linux kernel (Android for MSM, Firefox OS for MSM, QRD Android) before security patch level 2018-06-05.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for `tf.raw_ops.FractionalAvgPoolGrad` can be tricked into accessing data outside of bounds of heap allocated buffers. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/fractional_avg_pool_op.cc#L205) does not validate that the input tensor is non-empty. Thus, code constructs an empty `EigenDoubleMatrixMap` and then accesses this buffer with indices that are outside of the empty area. We have patched the issue in GitHub commit 0f931751fb20f565c4e94aa6df58d54a003cdb30. 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 an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.SdcaOptimizerV2`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/sdca_internal.cc#L320-L353) does not check that the length of `example_labels` is the same as the number of examples. We have patched the issue in GitHub commit a4e138660270e7599793fa438cd7b2fc2ce215a6. 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 an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `BoostedTreesSparseCalculateBestFeatureSplit`. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/stats_ops.cc) needs to validate that each value in `stats_summary_indices` is in range. We have patched the issue in GitHub commit e84c975313e8e8e38bb2ea118196369c45c51378. 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 an attacker can trigger a read from outside of bounds of heap allocated data by sending invalid arguments to `tf.raw_ops.ResourceScatterUpdate`. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/resource_variable_ops.cc#L919-L923) has an incomplete validation of the relationship between the shapes of `indices` and `updates`: instead of checking that the shape of `indices` is a prefix of the shape of `updates` (so that broadcasting can happen), code only checks that the number of elements in these two tensors are in a divisibility relationship. We have patched the issue in GitHub commit 01cff3f986259d661103412a20745928c727326f. 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 implementation of sparse reduction operations in TensorFlow can trigger accesses outside of bounds of heap allocated data. The [implementation](https://github.com/tensorflow/tensorflow/blob/a1bc56203f21a5a4995311825ffaba7a670d7747/tensorflow/core/kernels/sparse_reduce_op.cc#L217-L228) fails to validate that each reduction group does not overflow and that each corresponding index does not point to outside the bounds of the input tensor. We have patched the issue in GitHub commit 87158f43f05f2720a374f3e6d22a7aaa3a33f750. 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.

Out of bounds read in WebAudio in Google Chrome prior to 95.0.4638.54 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

Out of bounds array access in WebRTC in Google Chrome prior to 67.0.3396.62 allowed a remote attacker to potentially perform out of bounds memory access via a crafted HTML page.

Out of bounds read in libjpeg-turbo in Google Chrome prior to 94.0.4606.54 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.UpperBound`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/searchsorted_op.cc#L85-L104) does not validate the rank of `sorted_input` argument. A similar issue occurs in `tf.raw_ops.LowerBound`. We have patched the issue in GitHub commit 42459e4273c2e47a3232cc16c4f4fff3b3a35c38. 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 TFLite's [`expand_dims.cc`](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/expand_dims.cc#L36-L50) contains a vulnerability which allows reading one element outside of bounds of heap allocated data. If `axis` is a large negative value (e.g., `-100000`), then after the first `if` it would still be negative. The check following the `if` statement will pass and the `for` loop would read one element before the start of `input_dims.data` (when `i = 0`). We have patched the issue in GitHub commit d94ffe08a65400f898241c0374e9edc6fa8ed257. 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.

Out of bounds read in V8 API in Google Chrome prior to 124.0.6367.78 allowed a remote attacker to leak cross-site data via a crafted HTML page. (Chromium security severity: High)

In handleCreateConferenceComplete of ConnectionServiceWrapper.java, there is a possible way to reveal images across users due to a confused deputy. This could lead to local information disclosure with no additional execution privileges needed. User interaction is needed for exploitation.

In gatt_dbg_op_name of gatt_utils.cc, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure in the Bluetooth server with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-13Android ID: A-260079141

Out of bounds read in Fonts in Google Chrome prior to 124.0.6367.60 allowed a remote attacker to obtain potentially sensitive information from process memory via a crafted HTML page. (Chromium security severity: Medium)

NVIDIA Tegra kernel driver contains a vulnerability in NVIDIA NVDEC, where a user with high privileges might be able to read from or write to a memory location that is outside the intended boundary of the buffer, which may lead to denial of service, Information disclosure, loss of Integrity, or possible escalation of privileges.

A vulnerability was discovered in the Zoom Client for Meetings (for Android, iOS, Linux, macOS, and Windows) before version 5.8.4, Zoom Client for Meetings for Blackberry (for Android and iOS) before version 5.8.1, Zoom Client for Meetings for intune (for Android and iOS) before version 5.8.4, Zoom Client for Meetings for Chrome OS before version 5.0.1, Zoom Rooms for Conference Room (for Android, AndroidBali, macOS, and Windows) before version 5.8.3, Controllers for Zoom Rooms (for Android, iOS, and Windows) before version 5.8.3, Zoom VDI Windows Meeting Client before version 5.8.4, Zoom VDI Azure Virtual Desktop Plugins (for Windows x86 or x64, IGEL x64, Ubuntu x64, HP ThinPro OS x64) before version 5.8.4.21112, Zoom VDI Citrix Plugins (for Windows x86 or x64, Mac Universal Installer & Uninstaller, IGEL x64, eLux RP6 x64, HP ThinPro OS x64, Ubuntu x64, CentOS x 64, Dell ThinOS) before version 5.8.4.21112, Zoom VDI VMware Plugins (for Windows x86 or x64, Mac Universal Installer & Uninstaller, IGEL x64, eLux RP6 x64, HP ThinPro OS x64, Ubuntu x64, CentOS x 64, Dell ThinOS) before version 5.8.4.21112, Zoom Meeting SDK for Android before version 5.7.6.1922, Zoom Meeting SDK for iOS before version 5.7.6.1082, Zoom Meeting SDK for macOS before version 5.7.6.1340, Zoom Meeting SDK for Windows before version 5.7.6.1081, Zoom Video SDK (for Android, iOS, macOS, and Windows) before version 1.1.2, Zoom on-premise Meeting Connector before version 4.8.12.20211115, Zoom on-premise Meeting Connector MMR before version 4.8.12.20211115, Zoom on-premise Recording Connector before version 5.1.0.65.20211116, Zoom on-premise Virtual Room Connector before version 4.4.7266.20211117, Zoom on-premise Virtual Room Connector Load Balancer before version 2.5.5692.20211117, Zoom Hybrid Zproxy before version 1.0.1058.20211116, and Zoom Hybrid MMR before version 4.6.20211116.131_x86-64 which potentially allowed for the exposure of the state of process memory. This issue could be used to potentially gain insight into arbitrary areas of the product's memory.

In parse_gap_data of utils.cc, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with User execution privileges needed. User interaction is not needed for exploitation.

Out of bounds read in WebRTC in Google Chrome prior to 110.0.5481.77 allowed a remote attacker to perform an out of bounds memory read via a crafted HTML page. (Chromium security severity: High)

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, while processing the SENDACTIONFRAME IOCTL, a buffer over-read can occur if the payload length is less than 7.

While flashing a meta image, a buffer over-read can potentially occur when the number of images are out of the maximum range of 32 in Android releases from CAF using the linux kernel (Android for MSM, Firefox OS for MSM, QRD Android) before security patch level 2018-06-05.

Out of bounds read in Tab Strip in Google Chrome prior to 92.0.4515.131 allowed an attacker who convinced a user to install a malicious extension to perform an out of bounds memory read via a crafted HTML page.

In smp_br_state_machine_event of smp_br_main.cc, there is a possible out of bounds read due to a missing bounds check. This could lead to remote information disclosure triggered by a malformed Bluetooth packet, with no additional execution privileges needed. User interaction is not needed for exploitation. Bounds Sanitizer mitigates this in the default configuration.Product: AndroidVersions: Android-11Android ID: A-162327732

Out of bounds read in Tab Groups in Google Chrome prior to 90.0.4430.212 allowed an attacker who convinced a user to install a malicious extension to perform an out of bounds memory read via a crafted HTML page.

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

The PDF parser in Google Chrome before 16.0.912.63 allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

In pmucal_rae_handle_seq_int of flexpmu_cal_rae.c, there is a possible out of bounds read due to a buffer overflow. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.

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.

Google Chrome before 13.0.782.107 does not properly perform text iteration, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/ef0c008ee84bad91ec6725ddc42091e19a30cf0e/tensorflow/core/kernels/maxpooling_op.cc#L1016-L1017) uses the same value to index in two different arrays but there is no guarantee that the sizes are identical. 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.

In ProtocolVsimOperationAdapter() of protocolvsimadapter.cpp, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with baseband firmware compromise required. User Interaction is not needed for exploitation.