Out of bounds read in Skia in Google Chrome prior to 75.0.3770.80 allowed a remote attacker to obtain potentially sensitive information from process memory via a crafted HTML page.

Out of bounds read in V8 in Google Chrome prior to 91.0.4472.77 allowed a remote attacker to potentially exploit stack corruption via a crafted HTML page.

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.

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.

Out of bounds memory access in FedCM in Google Chrome prior to 116.0.5845.179 allowed a remote attacker who had compromised the renderer process to perform an out of bounds memory read via a crafted HTML page. (Chromium security severity: High)

Out of bounds memory access in CSS in Google Chrome prior to 116.0.5845.110 allowed a remote attacker to perform an out of bounds memory read via a crafted HTML page. (Chromium security severity: High)

Out of bounds memory access in V8 in Google Chrome prior to 116.0.5845.110 allowed a remote attacker to perform an out of bounds memory read via a crafted HTML page. (Chromium security severity: High)

Out of bounds memory access in Fonts in Google Chrome prior to 116.0.5845.110 allowed a remote attacker to perform an out of bounds memory read via a crafted HTML page. (Chromium security severity: Medium)

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.

Improper size check in sapefd_parse_meta_HEADER_old function of libsapeextractor library prior to SMR Apr-2022 Release 1 allows out of bounds read via a crafted media file.

Improper size check of in sapefd_parse_meta_DESCRIPTION function of libsapeextractor library prior to SMR Apr-2022 Release 1 allows out of bounds read via a crafted media file

Improper size check in sapefd_parse_meta_HEADER function of libsapeextractor library prior to SMR Apr-2022 Release 1 allows out of bounds read via a crafted media file.

Insufficient data validation in WebGL in Google Chrome prior to 64.0.3282.119 allowed a remote attacker to perform an out of bounds memory read via a crafted HTML page.

Out of bounds memory access in Blink Serial API in Google Chrome prior to 97.0.4692.71 allowed a remote attacker to perform an out of bounds memory read via a crafted HTML page and virtual serial port driver.

Out of bounds memory access in Compositing in Google Chrome prior to 123.0.6312.122 allowed a remote attacker who had compromised the GPU process to potentially perform a sandbox escape via specific UI gestures. (Chromium security severity: High)

fxcodec/codec/fx_codec_jpx_opj.cpp in PDFium, as used in Google Chrome before 50.0.2661.75, does not properly implement the sycc420_to_rgb and sycc422_to_rgb functions, which allows remote attackers to obtain sensitive information from process memory or cause a denial of service (out-of-bounds read) via crafted JPEG 2000 data in a PDF document.

Memcpy parameter overlap in Google Snappy library 1.1.4, as used in Google TensorFlow before 1.7.1, could result in a crash or read from other parts of process memory.

Invalid memory access and/or a heap buffer overflow in the TensorFlow XLA compiler in Google TensorFlow before 1.7.1 could cause a crash or read from other parts of process memory via a crafted configuration file.

Google Chrome before 12.0.742.91 attempts to read data from an uninitialized pointer, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors.

Google Chrome before 11.0.696.57 does not properly handle PDF documents with multipart encoding, which allows remote attackers to cause a denial of service (out-of-bounds read) via a crafted document.

Google Chrome before 11.0.696.57 does not properly handle SVG documents, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.

Google Chrome before 9.0.597.107 on 64-bit Linux platforms does not properly perform pickle deserialization, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

The WebGL implementation in Google Chrome before 9.0.597.107 allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors, aka Issue 71960.

The WebGL implementation in Google Chrome before 9.0.597.107 allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors, aka Issue 71717.

Tensorflow is an Open Source Machine Learning Framework. TensorFlow's type inference can cause a heap out of bounds read as the bounds checking is done in a `DCHECK` (which is a no-op during production). An attacker can control the `input_idx` variable such that `ix` would be larger than the number of values in `node_t.args`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.

An improper boundary check in audio hal service prior to SMR Feb-2022 Release 1 allows attackers to read invalid memory and it leads to application crash.

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)

In initiateTdlsSetupInternal of sta_iface.cpp, there is a possible out of bounds read due to a missing bounds check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-13Android ID: A-262236670

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."

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 BuildGetRadioNode of protocolmiscbulider.cpp, there is a possible out of bounds read due to improper input validation. This could lead to local information disclosure from the modem with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-264540759References: N/A

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)

Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalAvgPoolGrad` does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the parameter `indices` for `DynamicStitch` does not match the shape of the parameter `data`, it can trigger an stack OOB read. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

In WLAN driver, 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. Patch ID: ALPS06545464; Issue ID: ALPS06545464.

TensorFlow is an open source platform for machine learning. Attackers using Tensorflow prior to 2.12.0 or 2.11.1 can access heap memory which is not in the control of user, leading to a crash or remote code execution. The fix will be included in TensorFlow version 2.12.0 and will also cherrypick this commit on TensorFlow version 2.11.1.

In btm_ble_periodic_adv_sync_lost of btm_ble_gap.cc, there is a possible remote code execution due to a buffer overflow. This could lead to remote code execution with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-13Android ID: A-273502002

In WLAN driver, 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. Patch ID: ALPS06535950; Issue ID: ALPS06535950.

In dropFramesUntilIframe of AAVCAssembler.cpp, there is a possible out of bounds read due to a heap buffer overflow. This could lead to remote information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12 Android-12L Android-13Android ID: A-230630526

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, an out of bounds read is in GRUBlockCellGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1.

In imgsys_cmdq, there is a possible out of bounds read due to a missing valid range checking. This could lead to local information disclosure with System execution privileges needed. User interaction is needed for exploitation. Patch ID: ALPS07354058; Issue ID: ALPS07340121.

In ProtocolCellIdentityParserV4::Parse() of protocolnetadapter.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.

In multiple locations of p2p_iface.cpp, 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-13Android ID: A-257030100

In imgsensor, there is a possible out of bounds read due to a missing bounds check. This could lead to local denial of service with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS06479698; Issue ID: ALPS06479698.

In CellInfoListParserV2::FillCellInfo() of protocolnetadapter.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.

In vpu, there is a possible information disclosure due to an incorrect bounds check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS06382421; Issue ID: ALPS06382421.

In tpu_get_int_state of tpu.c, there is a possible information disclosure due to uninitialized data. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.

In camera isp, 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. Patch ID: ALPS06479306; Issue ID: ALPS06479306.

Tensorflow is an Open Source Machine Learning Framework. The implementation of `Dequantize` does not fully validate the value of `axis` and can result in heap OOB accesses. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of the array containing the dimensions of the input tensor. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.