The eBPF ALU32 bounds tracking for bitwise ops (AND, OR and XOR) in the Linux kernel did not properly update 32-bit bounds, which could be turned into out of bounds reads and writes in the Linux kernel and therefore, arbitrary code execution. This issue was fixed via commit 049c4e13714e ("bpf: Fix alu32 const subreg bound tracking on bitwise operations") (v5.13-rc4) and backported to the stable kernels in v5.12.4, v5.11.21, and v5.10.37. The AND/OR issues were introduced by commit 3f50f132d840 ("bpf: Verifier, do explicit ALU32 bounds tracking") (5.7-rc1) and the XOR variant was introduced by 2921c90d4718 ("bpf:Fix a verifier failure with xor") ( 5.10-rc1).

Possible out of bound read due to improper length calculation of WMI message. in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables

vcs_write in drivers/tty/vt/vc_screen.c in the Linux kernel through 5.3.13 does not prevent write access to vcsu devices, aka CID-0c9acb1af77a.

Memory Corruption in WLAN HOST while fetching TX status information.

In skb_headlen of /include/linux/skbuff.h, there is a possible out of bounds read due to memory corruption. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-153881554

A crafted NTFS image can cause an out-of-bounds read in ntfs_runlists_merge_i in NTFS-3G < 2021.8.22.

Out of bounds read in some Intel(R) Graphics Drivers before versions 15.45.31.5127 and 15.40.45.5126 may allow an authenticated user to potentially enable escalation of privilege via local access.

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.

An issue was discovered in the Linux kernel before 5.2.3. An out of bounds access exists in the function hclge_tm_schd_mode_vnet_base_cfg in the file drivers/net/ethernet/hisilicon/hns3/hns3pf/hclge_tm.c.

In the Linux kernel, the following vulnerability has been resolved: firmware: arm_scmi: Harden accesses to the reset domains Accessing reset domains descriptors by the index upon the SCMI drivers requests through the SCMI reset operations interface can potentially lead to out-of-bound violations if the SCMI driver misbehave. Add an internal consistency check before any such domains descriptors accesses.

A vulnerability was found in compare_netdev_and_ip in drivers/infiniband/core/cma.c in RDMA in the Linux Kernel. The improper cleanup results in out-of-boundary read, where a local user can utilize this problem to crash the system or escalation of privilege.

An issue was discovered in the Linux kernel before 4.20.2. An out-of-bounds access exists in the function build_audio_procunit in the file sound/usb/mixer.c.

An issue was discovered in the Linux kernel before 5.0.10. SMB2_negotiate in fs/cifs/smb2pdu.c has an out-of-bounds read because data structures are incompletely updated after a change from smb30 to smb21.

The driver in Micro-Star MSI Afterburner 4.6.2.15658 (aka RTCore64.sys and RTCore32.sys) allows any authenticated user to read and write to arbitrary memory, I/O ports, and MSRs. This can be exploited for privilege escalation, code execution under high privileges, and information disclosure. These signed drivers can also be used to bypass the Microsoft driver-signing policy to deploy malicious code.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions it is possible to nest a `tf.map_fn` within another `tf.map_fn` call. However, if the input tensor is a `RaggedTensor` and there is no function signature provided, code assumes the output is a fully specified tensor and fills output buffer with uninitialized contents from the heap. The `t` and `z` outputs should be identical, however this is not the case. The last row of `t` contains data from the heap which can be used to leak other memory information. The bug lies in the conversion from a `Variant` tensor to a `RaggedTensor`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/ragged_tensor_from_variant_op.cc#L177-L190) does not check that all inner shapes match and this results in the additional dimensions. The same implementation can result in data loss, if input tensor is tweaked. We have patched the issue in GitHub commit 4e2565483d0ffcadc719bd44893fb7f609bb5f12. 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.

Local user gains root privileges via buffer overflow in rdist, via expstr() function.

NVIDIA vGPU manager contains a vulnerability in the vGPU plugin, in which an input offset is not validated, which may lead to a buffer overread, which in turn may cause tampering of data, information disclosure, or denial of service. This affects vGPU version 8.x (prior to 8.6) and version 11.0 (prior to 11.3).

Out-of-bounds read in Windows Media allows an authorized attacker to elevate privileges locally.

Possible out of bound memory access while playing a crafted clip in media player in Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables in SM8150

Buffer over-read in Microsoft Office Excel allows an unauthorized attacker to execute code locally.

Possible buffer overflow and over read possible due to missing bounds checks for fixed limits if we consider widevine HLOS client as non-trustable in Snapdragon Auto, Snapdragon Compute, Snapdragon Mobile, Snapdragon Wired Infrastructure and Networking in Kamorta, QCS404, Rennell, SC7180, SDX55, SM6150, SM7150, SM8250, SXR2130

Improper input validation in Windows Mobile Broadband allows an authorized attacker to elevate privileges locally.

Possible OOB issue in EEPROM due to lack of check while accessing memory map array at the time of reading operation in Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer Electronics Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables in APQ8009, APQ8053, MSM8909W, MSM8917, MSM8953, Nicobar, QCS405, QCS605, QM215, SA6155P, SDA845, SDM429, SDM439, SDM450, SDM632, SDM670, SDM710, SDM845, SDX24, SDX55, SM6150, SM7150, SM8150, SM8250, SXR1130, SXR2130

Windows Common Log File System Driver Elevation of Privilege Vulnerability

Windows Kernel Elevation of Privilege Vulnerability

Heap-based buffer overflow in Windows Bluetooth Service allows an authorized attacker to elevate privileges locally.

Out-of-bounds read in Windows Kernel-Mode Drivers allows an authorized attacker to elevate privileges locally.

In multiple locations, there is a possible way to read protected files 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.

NVIDIA GPU Display Driver for Linux contains a vulnerability in the kernel mode layer (nvidia.ko), where an out-of-bounds array access may lead to denial of service, data tampering, or information disclosure.

NVIDIA GPU Display Driver for Windows contains a vulnerability where a regular user can cause an out-of-bounds read, which may lead to code execution, denial of service, escalation of privileges, information disclosure, or data tampering.

The kernel module has an out-of-bounds read vulnerability.Successful exploitation of this vulnerability may cause memory overwriting.

Memory corruption due to buffer over-read in Modem while processing SetNativeHandle RTP service.

Out-of-bounds read in Windows Subsystem for Linux allows an authorized attacker to elevate privileges locally.

Windows SMB Elevation of Privilege Vulnerability

An Out-Of-Bounds Read Vulnerability in Autodesk FBX SDK version 2020. and prior may lead to code execution or information disclosure through maliciously crafted FBX files. This vulnerability in conjunction with other vulnerabilities could lead to code execution in the context of the current process.

The bpf verifier in the Linux kernel did not properly handle mod32 destination register truncation when the source register was known to be 0. A local attacker with the ability to load bpf programs could use this gain out-of-bounds reads in kernel memory leading to information disclosure (kernel memory), and possibly out-of-bounds writes that could potentially lead to code execution. This issue was addressed in the upstream kernel in commit 9b00f1b78809 ("bpf: Fix truncation handling for mod32 dst reg wrt zero") and in Linux stable kernels 5.11.2, 5.10.19, and 5.4.101.

Memory corruption during the image encoding process.

Out-of-Bounds Read in Virglrenderer in ChromeOS 16093.57.0 allows a malicious guest VM to achieve arbitrary address access within the crosvm sandboxed process, potentially leading to VM escape via crafted vertex elements data triggering an out-of-bounds read in util_format_description.

In the Linux kernel, the following vulnerability has been resolved: net: usb: ax88179_178a: Fix out-of-bounds accesses in RX fixup ax88179_rx_fixup() contains several out-of-bounds accesses that can be triggered by a malicious (or defective) USB device, in particular: - The metadata array (hdr_off..hdr_off+2*pkt_cnt) can be out of bounds, causing OOB reads and (on big-endian systems) OOB endianness flips. - A packet can overlap the metadata array, causing a later OOB endianness flip to corrupt data used by a cloned SKB that has already been handed off into the network stack. - A packet SKB can be constructed whose tail is far beyond its end, causing out-of-bounds heap data to be considered part of the SKB's data. I have tested that this can be used by a malicious USB device to send a bogus ICMPv6 Echo Request and receive an ICMPv6 Echo Reply in response that contains random kernel heap data. It's probably also possible to get OOB writes from this on a little-endian system somehow - maybe by triggering skb_cow() via IP options processing -, but I haven't tested that.

In the Linux kernel, the following vulnerability has been resolved: parport: Proper fix for array out-of-bounds access The recent fix for array out-of-bounds accesses replaced sprintf() calls blindly with snprintf(). However, since snprintf() returns the would-be-printed size, not the actually output size, the length calculation can still go over the given limit. Use scnprintf() instead of snprintf(), which returns the actually output letters, for addressing the potential out-of-bounds access properly.

Kernel Streaming WOW Thunk Service Driver Elevation of Privilege Vulnerability

Heap-based buffer overflow in Role: Windows Hyper-V allows an authorized attacker to elevate privileges locally.

Possible out of bound read due to lack of domain input validation while processing APK close session request in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Industrial IOT, Snapdragon Wearables