TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/ab1e644b48c82cb71493f4362b4dd38f4577a1cf/tensorflow/core/kernels/maxpooling_op.cc#L194-L203) fails to validate that indices used to access elements of input/output arrays are valid. Whereas accesses to `input_backprop_flat` are guarded by `FastBoundsCheck`, the indexing in `out_backprop_flat` can result in OOB access. 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.

Memory corruption while processing TPC target power table in FTM TPC.

Possible stack overflow due to improper length check of TLV while copying the TLV to a local stack variable in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer Electronics Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon IoT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wired Infrastructure and Networking

In the Linux kernel, the following vulnerability has been resolved: bna: adjust 'name' buf size of bna_tcb and bna_ccb structures To have enough space to write all possible sprintf() args. Currently 'name' size is 16, but the first '%s' specifier may already need at least 16 characters, since 'bnad->netdev->name' is used there. For '%d' specifiers, assume that they require: * 1 char for 'tx_id + tx_info->tcb[i]->id' sum, BNAD_MAX_TXQ_PER_TX is 8 * 2 chars for 'rx_id + rx_info->rx_ctrl[i].ccb->id', BNAD_MAX_RXP_PER_RX is 16 And replace sprintf with snprintf. Detected using the static analysis tool - Svace.

Memory corruption while processing IOCTL handler in FastRPC.

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-L446). Before the `for` loop, `batch_idx` is set to 0. The attacker sets `splits(0)` to be 7, hence the `while` loop does not execute and `batch_idx` remains 0. This then results in writing to `out(-1, bin)`, which is before the heap allocated buffer for the output tensor. 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.

in OpenHarmony v4.0.0 and prior versions allow a local attacker arbitrary code execution through out-of-bounds write.

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedMul` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/87cf4d3ea9949051e50ca3f071fc909538a51cd0/tensorflow/core/kernels/quantized_mul_op.cc#L287-L290) assumes that the 4 arguments are always valid scalars and tries to access the numeric value directly. However, if any of these tensors is empty, then `.flat<T>()` is an empty buffer and accessing the element at position 0 results in overflow. 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. 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.

Memory corruption while processing the event ring, the context read pointer is untrusted to HLOS and when it is passed with arbitrary values, may point to address in the middle of ring element.

An out of bounds write due to a missing bounds check in LabVIEW may result in remote code execution. Successful exploitation requires an attacker to provide a user with a specially crafted VI. This vulnerability affects LabVIEW 2024 Q1 and prior versions.

Memory corruption in Automotive Multimedia due to improper access control in HAB.

Memory corruption when keymaster operation imports a shared key.

In ppmp_protect_mfcfw_buf of code/drm_fw.c, there is a possible corrupt memory 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 not needed for exploitation.

In ppmp_unprotect_buf of drm/code/drm_fw.c, there is a possible memory corruption 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 not needed for exploitation.

An out-of-bounds write issue was addressed with improved input validation. This issue is fixed in macOS Sonoma 14.4, macOS Monterey 12.7.4, macOS Ventura 13.6.5. An app may be able to execute arbitrary code with kernel privileges.

Windows Telephony Service Elevation of Privilege Vulnerability

In Mediaserver, there is a possible out of bounds write due to an integer overflow. This could lead to local escalation of privilege if integer sanitization were not enabled (which it is by default), with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-11Android ID: A-147002762

A memory corruption issue was addressed with improved validation. This issue is fixed in iOS 16.7.6 and iPadOS 16.7.6, iOS 17.4 and iPadOS 17.4. An attacker with arbitrary kernel read and write capability may be able to bypass kernel memory protections. Apple is aware of a report that this issue may have been exploited.

The issue was addressed with improved bounds checks. This issue is fixed in macOS Sonoma 14.1, tvOS 17.1, macOS Monterey 12.7.1, iOS 16.7.2 and iPadOS 16.7.2, iOS 17.1 and iPadOS 17.1, macOS Ventura 13.6.1. An app may be able to execute arbitrary code with kernel privileges.

In skia_alloc_func of SkDeflate.cpp, there is a possible out of bounds write 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.

MariaDB CONNECT Storage Engine Heap-based Buffer Overflow Privilege Escalation Vulnerability. This vulnerability allows local attackers to escalate privileges on affected installations of MariaDB. Authentication is required to exploit this vulnerability. The specific flaw exists within the processing of SQL queries. The issue results from the lack of proper validation of the length of user-supplied data prior to copying it to a fixed-length heap-based buffer. An attacker can leverage this vulnerability to escalate privileges and execute arbitrary code in the context of the service account. Was ZDI-CAN-16190.

In PMRWritePMPageList of pmr.c, there is a possible out of bounds write 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.

Memory corruption during session sign renewal request calls in HLOS.

A vulnerability was found in libX11 due to an integer overflow within the XCreateImage() function. This flaw allows a local user to trigger an integer overflow and execute arbitrary code with elevated privileges.

Win32k Elevation of Privilege Vulnerability

The storage controllers on VMware ESXi, Workstation, and Fusion have out-of-bounds read/write vulnerability. A malicious actor with access to a virtual machine with storage controllers enabled may exploit this issue to create a denial of service condition or execute code on the hypervisor from a virtual machine in conjunction with other issues.

Memory corruption when malformed message payload is received from firmware.

In RGXFWChangeOSidPriority of rgxfwutils.c, there is a possible arbitrary code execution due to a missing bounds check. This could lead to local escalation of privilege in the kernel with no additional execution privileges needed. User interaction is not needed for exploitation.

Memory corruption while processing the IOCTL FM HCI WRITE request.

Memory corruption while invoking IOCTL calls from user space to set generic private command inside WLAN driver.