In KeyInstall, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege if a malicious actor has already obtained the System privilege. User interaction is not needed for exploitation. Patch ID: ALPS10276761; Issue ID: MSV-5141.

In DA, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege, if an attacker has physical access to the device, with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS09625423; Issue ID: MSV-3033.

In display, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege if a malicious actor has already obtained the System privilege. User interaction is not needed for exploitation. Patch ID: ALPS10184870; Issue ID: MSV-4729.

In wlan AP driver, there is a possible out of bounds write due to an incorrect bounds check. This could lead to remote (proximal/adjacent) escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: WCNCR00418955; Issue ID: MSV-3570.

In vdec, there is a possible permission bypass due to improper input validation. This could lead to local escalation of privilege if a malicious actor has already obtained the System privilege. User interaction is not needed for exploitation. Patch ID: ALPS09486425; Issue ID: MSV-2609.

Out of bounds memory access in Mojo in Google Chrome prior to 114.0.5735.90 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

In wlan AP driver, there is a possible out of bounds write due to an incorrect bounds check. This could lead to local escalation of privilege if a malicious actor has already obtained the System privilege. User interaction is not needed for exploitation. Patch ID: WCNCR00421152; Issue ID: MSV-3731.

In mmdvfs, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege if a malicious actor has already obtained the System privilege. User interaction is not needed for exploitation. Patch ID: ALPS10267218; Issue ID: MSV-5032.

In display, there is a possible out of bounds write due to an integer overflow. This could lead to local escalation of privilege if a malicious actor has already obtained the System privilege. User interaction is not needed for exploitation. Patch ID: ALPS10196993; Issue ID: MSV-4807.

In wlan service, there is a possible out of bounds write due to an incorrect bounds check. This could lead to remote code execution with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: WCNCR00406897; Issue ID: MSV-2875.

Out of bounds memory access in PDFium in Google Chrome prior to 78.0.3904.70 allowed a remote attacker to potentially exploit heap corruption via a crafted PDF file.

Out of bounds memory access in ANGLE in Google Chrome prior to 148.0.7778.216 allowed a remote attacker to execute arbitrary code inside a sandbox via a crafted HTML page. (Chromium security severity: High)

TensorFlow is an end-to-end open source platform for machine learning. A specially crafted TFLite model could trigger an OOB write on heap in the TFLite implementation of `ArgMin`/`ArgMax`(https://github.com/tensorflow/tensorflow/blob/102b211d892f3abc14f845a72047809b39cc65ab/tensorflow/lite/kernels/arg_min_max.cc#L52-L59). If `axis_value` is not a value between 0 and `NumDimensions(input)`, then the condition in the `if` is never true, so code writes past the last valid element of `output_dims->data`. 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.

Use-after-free in WebSockets in Google Chrome prior to 79.0.3945.79 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

Out of bounds memory access in WebBluetooth in Google Chrome prior to 78.0.3904.108 allowed a remote attacker who had compromised the renderer process to potentially exploit heap corruption via a crafted HTML page.

Type confusion in JavaScript in Google Chrome prior to 79.0.3945.79 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

Insufficient data validation in JavaScript in Google Chrome prior to 77.0.3865.75 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

Out of bounds write in SQLite in Google Chrome prior to 79.0.3945.79 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

Use-after-free in accessibility in Google Chrome prior to 77.0.3865.75 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

Out of bounds write in JavaScript in Google Chrome prior to 79.0.3945.79 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

In modem 2G RRM, there is a possible system crash due to a heap buffer overflow. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: MOLY00500736; Issue ID: ALPS04938456.

In modem 2G RRM, there is a possible system crash due to a heap buffer overflow. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: MOLY00500621; Issue ID: ALPS04964926.

Out of bounds write in Media in Google Chrome prior to 148.0.7778.168 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: High)

Out of bounds write in ANGLE in Google Chrome prior to 148.0.7778.216 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

In modem 2G RRM, there is a possible system crash due to a heap buffer overflow. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: MOLY00500621; Issue ID: ALPS04964928.

Use after free in PDFium in Google Chrome prior to 78.0.3904.87 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

Out of bounds write in WebAudio in Google Chrome prior to 148.0.7778.168 allowed a remote attacker to execute arbitrary code inside a sandbox via a crafted HTML page. (Chromium security severity: High)

In Boa, there is a possible escalation of privilege due to a stack buffer overflow. This could lead to remote escalation of privilege from a proximal attacker with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: A20210008; Issue ID: OSBNB00123241.

Out of bounds memory access in the gamepad API in Google Chrome prior to 78.0.3904.70 allowed a remote attacker who had compromised the renderer process to potentially exploit heap corruption via a crafted HTML page.

Use-after-free in WebAudio in Google Chrome prior to 79.0.3945.79 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

Out of bounds write in ANGLE in Google Chrome prior to 91.0.4472.101 allowed a remote attacker to potentially perform out of bounds memory access via a crafted HTML page.

TensorFlow is an end-to-end open source platform for machine learning. The validation in `tf.raw_ops.QuantizeAndDequantizeV2` allows invalid values for `axis` argument:. The validation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L74-L77) uses `||` to mix two different conditions. If `axis_ < -1` the condition in `OP_REQUIRES` will still be true, but this value of `axis_` results in heap underflow. This allows attackers to read/write to other data on the heap. 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.

Uninitialized data in rendering in Google Chrome on Android prior to 79.0.3945.79 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

Out of bounds memory access in JavaScript in Google Chrome prior to 73.0.3683.103 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

Stack buffer overflow in ANGLE in Google Chrome prior to 93.0.4577.82 allowed a remote attacker to potentially exploit stack corruption via a crafted HTML page.

Out of bounds write in Tab Strip 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 write via a crafted HTML page and a crafted Chrome extension.

Heap buffer overflow in History in Google Chrome prior to 90.0.4430.212 allowed a remote attacker who had compromised the renderer process to potentially exploit heap corruption via a crafted HTML page.

In attp_build_value_cmd of att_protocol.cc, there is a possible out of bounds write due to a missing bounds check. This could lead to remote code execution with no additional execution privileges needed. User interaction is not needed for exploitation.

Inappropriate implementation in WebRTC in Google Chrome prior to 79.0.3945.79 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. 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/31bd5026304677faa8a0b77602c6154171b9aec1/tensorflow/core/kernels/image/draw_bounding_box_op.cc#L116-L130) assumes that the last element of `boxes` input is 4, as required by [the op](https://www.tensorflow.org/api_docs/python/tf/raw_ops/DrawBoundingBoxesV2). Since this is not checked attackers passing values less than 4 can write outside of bounds of heap allocated objects and cause memory corruption. If the last dimension in `boxes` is less than 4, accesses similar to `tboxes(b, bb, 3)` will access data outside of bounds. Further during code execution there are also writes to these indices. 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. If the `splits` argument of `RaggedBincount` does not specify a valid `SparseTensor`(https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from outside the bounds of the `splits` tensor buffer in the implementation of the `RaggedBincount` op(https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L433). Before the `for` loop, `batch_idx` is set to 0. The user controls the `splits` array, making it contain only one element, 0. Thus, the code in the `while` loop would increment `batch_idx` and then try to read `splits(1)`, which is outside of bounds. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are also affected.

Out of bounds write in Tab Groups 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 write via a crafted HTML page.

Heap buffer overflow in Bookmarks in Google Chrome prior to 92.0.4515.131 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. An attacker can cause a heap buffer overflow in `tf.raw_ops.SparseSplit`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/699bff5d961f0abfde8fa3f876e6d241681fbef8/tensorflow/core/util/sparse/sparse_tensor.h#L528-L530) accesses an array element based on a user controlled offset. 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.

Heap buffer overflow in Media Feeds in Google Chrome prior to 90.0.4430.212 allowed an attacker who convinced a user to enable certain features in Chrome to potentially exploit heap corruption via a crafted HTML page.

Stack buffer overflow in Printing in Google Chrome prior to 92.0.4515.107 allowed a remote attacker who had compromised the renderer process to potentially exploit stack corruption via a crafted HTML page.