In discovery_thread of Dns64Configuration.cpp, there is a possible memory corruption due to a use after free. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

There is a possible information disclosure due to a missing permission check. This could lead to local information disclosure of health data with no additional execution privileges needed.

In multiple functions of MtpFfsHandle.cpp , there is a possible out of bounds write due to a use after free. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is needed for exploitation.

In engineermode service, there is a possible command injection due to improper input validation. This could lead to local escalation of privilege with no additional execution privileges needed.

There is a possible bypass of carrier restrictions due to an unusual root cause. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In multiple locations, there is a possible way to execute arbitrary code due to a use after free. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In avct_lcb_msg_ind of avct_lcb_act.cc, there is a possible way to execute arbitrary code due to a use after free. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In rfc_send_buf_uih of rfc_ts_frames.cc, there is a possible way to execute arbitrary code due to a use after free. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In multiple locations, there is a possible way to execute arbitrary code due to a use after free. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In bnepu_check_send_packet of bnep_utils.cc, there is a possible way to achieve code execution due to a use after free. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In dhd_process_full_gscan_result of dhd_pno.c, there is a possible EoP due to an integer overflow. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In writeToParcel of MediaPlayer.java, there is a possible serialization/deserialization mismatch due to improper input validation. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In getIntentForIntentSender of ActivityManagerService.java, there is a possible way to access user metadata due to a pending intent. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In TBD of TBD, there is a possible use-after-free due to a logic error in the code. This could lead to local escalation of privilege in the kernel with no additional execution privileges needed. User interaction is not needed for exploitation.

In TBD of TBD, there is a possible use after free due to a race condition. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In TBD of TBD, there is a possible use-after-free due to a logic error in the code. This could lead to local escalation of privilege in the kernel with no additional execution privileges needed. User interaction is not needed for exploitation.

In onCreate of ChooserActivity.java, there is a possible way to bypass factory reset protections due to a missing permission check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In shouldSkipForInitialSUW of AdvancedPowerUsageDetail.java, there is a possible way to bypass factory reset protections due to a missing permission check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In multiple functions in AppInfoBase.java, there is a possible way to manipulate app permission settings belonging to another user on the device due to a missing permission check. This could lead to local escalation of privilege across user boundaries 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) software. Dex Station allows App Pinning bypass and lock-screen bypass via the "Use screen lock type to unpin" option. The Samsung ID is SVE-2017-11106 (February 2018).

TensorFlow is an end-to-end open source platform for machine learning. When restoring tensors via raw APIs, if the tensor name is not provided, TensorFlow can be tricked into dereferencing a null pointer. Alternatively, attackers can read memory outside the bounds of heap allocated data by providing some tensor names but not enough for a successful restoration. The [implementation](https://github.com/tensorflow/tensorflow/blob/47a06f40411a69c99f381495f490536972152ac0/tensorflow/core/kernels/save_restore_tensor.cc#L158-L159) retrieves the tensor list corresponding to the `tensor_name` user controlled input and immediately retrieves the tensor at the restoration index (controlled via `preferred_shard` argument). This occurs without validating that the provided list has enough values. If the list is empty this results in dereferencing a null pointer (undefined behavior). If, however, the list has some elements, if the restoration index is outside the bounds this results in heap OOB read. We have patched the issue in GitHub commit 9e82dce6e6bd1f36a57e08fa85af213e2b2f2622. 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.

In lpm_req_handler of , there is a possible out of bounds memory access due to a missing bounds check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In getInstalledAccessibilityPreferences of AccessibilitySettings.java, there is a possible way to hide an enabled accessibility service in the accessibility service settings due to a logic error in the code. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is needed for exploitation.

In PVRSRVRGXKickTA3DKM of rgxta3d.c, there is a possible arbitrary code execution due to improper input validation. This could lead to local escalation of privilege in the kernel with no additional execution privileges needed. User interaction is not needed for exploitation.

Tensorflow is an Open Source Machine Learning Framework. TensorFlow is vulnerable to a heap OOB write in `Grappler`. The `set_output` function writes to an array at the specified index. Hence, this gives a malicious user a write primitive. 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.

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)

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.

In DRM service, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service with System execution privileges needed.

Heap-based buffer overflow in the GPU process in Google Chrome before 10.0.648.205 allows remote attackers to execute arbitrary code via unknown vectors.

In trusty service, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service with System execution privileges needed

In trusty service, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service with System execution privileges needed

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions. 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.

An issue was discovered on Samsung mobile devices with M(6.0) software. There is a heap-based buffer overflow in tlc_server. The Samsung IDs are SVE-2016-7220 and SVE-2016-7225 (November 2016).

Out of bounds write in Swiftshader 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)

An improper input validation in SMC_SRPMB_WSM handler of RPMB ldfw prior to SMR Feb-2022 Release 1 allows arbitrary memory write and code execution.

In faceid servive, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service with no additional execution privileges needed

Heap buffer overflow in ANGLE in Google Chrome prior to 123.0.6312.122 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

In WLAN driver, there is a possible out of bounds write 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. Patch ID: ALPS06807363; Issue ID: ALPS06807363.

In WLAN driver, there is a possible out of bounds write 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. Patch ID: ALPS06511132; Issue ID: ALPS06511132.

In power service, there is a possible out of bounds write 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. Patch ID: ALPS06419106; Issue ID: ALPS06419077.

An issue was discovered on Samsung mobile devices with software through 2016-09-13 (Exynos AP chipsets). There is a stack-based buffer overflow in the OTP TrustZone trustlet. The Samsung IDs are SVE-2016-7173 and SVE-2016-7174 (December 2016).

In faceid servive, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service with no additional execution privileges needed

In phNciNfc_MfCreateXchgDataHdr of phNxpExtns_MifareStd.cpp, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10Android ID: A-246932269

TensorFlow is an open source platform for machine learning. There is out-of-bounds access due to mismatched integer type sizes. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

In camera isp, there is a possible out of bounds write 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. Patch ID: ALPS07085410; Issue ID: ALPS07085410.

In WLAN driver, there is a possible out of bounds write 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. Patch ID: ALPS06704526; Issue ID: ALPS06704462.

In BCMFASTPATH of dhd_msgbuf.c, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In circ_read of link_device_memory_legacy.c, 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.

In dhd_prot_txstatus_process of dhd_msgbuf.c, 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.

Out of bounds write in ChromeOS Audio Server in Google Chrome on ChromeOS prior to 113.0.5672.114 allowed a remote attacker to potentially exploit heap corruption via crafted audio file. (Chromium security severity: High)