NVIDIA Windows GPU Display Driver (all versions) contains a vulnerability in DirectX drivers, in which a specially crafted shader can cause an out of bounds access to a shader local temporary array, which may lead to denial of service or code execution.

NVIDIA Windows GPU Display Driver, all versions, contains a vulnerability in the kernel mode layer (nvlddmkm.sys) handler for DxgkDdiEscape in which the size of an input buffer is not validated, which may lead to denial of service or escalation of privileges.

NVIDIA Windows GPU Display Driver (all versions) contains a vulnerability in DirectX drivers, in which a specially crafted shader can cause an out of bounds access of an input texture array, which may lead to denial of service or code execution.

NVIDIA DGX-2 SBIOS contains a vulnerability in Bds, where a user with high privileges can cause a write beyond the bounds of an indexable resource, which may lead to code execution, denial of service, compromised integrity, and information disclosure.

NVIDIA Tegra kernel driver contains a vulnerability in NVIDIA NVDEC, where a user with high privileges might be able to read from or write to a memory location that is outside the intended boundary of the buffer, which may lead to denial of service, Information disclosure, loss of Integrity, or possible escalation of privileges.

Bootloader contains a vulnerability in NVIDIA MB2, which may cause free-the-wrong-heap, which may lead to limited denial of service.

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, information disclosure, or data tampering.

NVIDIA DGX A100 contains a vulnerability in SBIOS in the FsRecovery, which may allow a highly privileged local attacker to cause an out-of-bounds write, which may lead to code execution, denial of service, compromised integrity, and information disclosure.

NVIDIA distributions of Linux contain a vulnerability in nvdla_emu_task_submit, where unvalidated input may allow a local attacker to cause stack-based buffer overflow in kernel code, which may lead to escalation of privileges, compromised integrity and confidentiality, and denial of service.

Bootloader contains a vulnerability in NVIDIA MB2 where potential heap overflow might cause corruption of the heap metadata, which might lead to arbitrary code execution, denial of service, and information disclosure during secure boot.

Trusty contains a vulnerability in all trusted applications (TAs) where the stack cookie was not randomized, which might result in stack-based buffer overflow, leading to denial of service, escalation of privileges, and information disclosure.

Trusty contains a vulnerability in the HDCP service TA where bounds checking in command 10 is missing. The length of an I/O buffer parameter is not checked, which might lead to memory corruption.

Bootloader contains a vulnerability in NVIDIA MB2 where a potential heap overflow could cause memory corruption, which might lead to denial of service or code execution.

Bootloader contains a vulnerability in NVIDIA TegraBoot where a potential heap overflow might allow an attacker to control all the RAM after the heap block, leading to denial of service or code execution.

Trusty trusted Linux kernel (TLK) contains a vulnerability in the NVIDIA TLK kernel where a lack of heap hardening could cause heap overflows, which might lead to information disclosure and denial of service.

Bootloader contains a vulnerability in NVIDIA MB2 where a potential heap overflow might lead to denial of service or escalation of privileges.

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability in the Python backend, where an attacker could cause an out-of-bounds write by sending a request. A successful exploit of this vulnerability might lead to remote code execution, denial of service, data tampering, or information disclosure.

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability in the Python backend, where an attacker could cause an out-of-bounds write. A successful exploit of this vulnerability might lead to code execution, denial of service, data tampering, and information disclosure.

NVIDIA DGX A100 contains a vulnerability in SBIOS in the IpSecDxe, where a user with elevated privileges and a preconditioned heap can exploit an out-of-bounds write vulnerability, which may lead to code execution, denial of service, data integrity impact, and information disclosure.

Dell BIOS contains a heap buffer overflow vulnerability. A local attacker with admin privileges could potentially exploit this vulnerability to perform an arbitrary write to SMRAM during SMM.

Dell BIOS versions contain a Stack-based Buffer Overflow vulnerability. A local authenticated malicious user could potentially exploit this vulnerability by sending excess data to a function in order to gain arbitrary code execution on the system.

Improper input validation in IpcTxSndSetLoopbackCtrl in libsec-ril prior to SMR Sep-2023 Release 1 allows local attackers to write out-of-bounds memory.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.EditDistance` has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service. In multiple places throughout the code, one may compute an index for a write operation. However, the existing validation only checks against the upper bound of the array. Hence, it is possible to write before the array by massaging the input to generate negative values for `loc`. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Insufficient input validation in SVC_ECC_PRIMITIVE system call in a compromised user application or ABL may allow an attacker to corrupt ASP (AMD Secure Processor) OS memory which may lead to potential loss of integrity and availability.

Internet Download Manager 6.37.11.1 was discovered to contain a stack buffer overflow in the Export/Import function. This vulnerability allows attackers to escalate local process privileges via a crafted ef2 file.

Out of bounds write in some Intel(R) Server Board BMC firmware before version 2.90 may allow a privileged user to enable escalation of privilege via local access.

A buffer overflow was found in perl-DBI < 1.643 in DBI.xs. A local attacker who is able to supply a string longer than 300 characters could cause an out-of-bounds write, affecting the availability of the service or integrity of data.

Arbitrary Write in AMD Graphics Driver for Windows 10 in Escape 0x40010d may lead to arbitrary write to kernel memory or denial of service.

A flaw was found in the Linux kernel in versions before 5.12. The value of internal.ndata, in the KVM API, is mapped to an array index, which can be updated by a user process at anytime which could lead to an out-of-bounds write. The highest threat from this vulnerability is to data integrity and system availability.

In the Linux kernel, the following vulnerability has been resolved: dm-crypt: don't modify the data when using authenticated encryption It was said that authenticated encryption could produce invalid tag when the data that is being encrypted is modified [1]. So, fix this problem by copying the data into the clone bio first and then encrypt them inside the clone bio. This may reduce performance, but it is needed to prevent the user from corrupting the device by writing data with O_DIRECT and modifying them at the same time. [1] https://lore.kernel.org/all/20240207004723.GA35324@sol.localdomain/T/

D-Link DIR-2640-US 1.01B04 is vulnerable to Buffer Overflow. There are multiple out-of-bounds vulnerabilities in some processes of D-Link AC2600(DIR-2640). Local ordinary users can overwrite the global variables in the .bss section, causing the process crashes or changes.

TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.io.decode_raw` produces incorrect results and crashes the Python interpreter when combining `fixed_length` and wider datatypes. The implementation of the padded version(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc) is buggy due to a confusion about pointer arithmetic rules. First, the code computes(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L61) the width of each output element by dividing the `fixed_length` value to the size of the type argument. The `fixed_length` argument is also used to determine the size needed for the output tensor(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L63-L79). This is followed by reencoding code(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L85-L94). The erroneous code is the last line above: it is moving the `out_data` pointer by `fixed_length * sizeof(T)` bytes whereas it only copied at most `fixed_length` bytes from the input. This results in parts of the input not being decoded into the output. Furthermore, because the pointer advance is far wider than desired, this quickly leads to writing to outside the bounds of the backing data. This OOB write leads to interpreter crash in the reproducer mentioned here, but more severe attacks can be mounted too, given that this gadget allows writing to periodically placed locations in memory. 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-based Buffer Overflow vulnerability in RTI Connext Professional (Core Libraries) allows Overflow Variables and Tags.This issue affects Connext Professional: from 7.4.0 before 7.5.0, from 7.0.0 before 7.3.0.7, from 6.1.0 before 6.1.2.23, from 6.0.0 before 6.0.1.42, from 5.3.0 before 5.3.*, from 4.4d before 5.2.*.

CWE-787: Out-of-Bounds Write vulnerability exists that could cause local denial-of-service, or kernel memory leak when a malicious actor with local user access crafts a script/program using an IOCTL call in the Foxboro.sys driver.

In the Linux kernel, the following vulnerability has been resolved: powerpc/rtas: Prevent Spectre v1 gadget construction in sys_rtas() Smatch warns: arch/powerpc/kernel/rtas.c:1932 __do_sys_rtas() warn: potential spectre issue 'args.args' [r] (local cap) The 'nargs' and 'nret' locals come directly from a user-supplied buffer and are used as indexes into a small stack-based array and as inputs to copy_to_user() after they are subject to bounds checks. Use array_index_nospec() after the bounds checks to clamp these values for speculative execution.

In the Linux kernel, the following vulnerability has been resolved: md/raid1: Fix data corruption for degraded array with slow disk read_balance() will avoid reading from slow disks as much as possible, however, if valid data only lands in slow disks, and a new normal disk is still in recovery, unrecovered data can be read: raid1_read_request read_balance raid1_should_read_first -> return false choose_best_rdev -> normal disk is not recovered, return -1 choose_bb_rdev -> missing the checking of recovery, return the normal disk -> read unrecovered data Root cause is that the checking of recovery is missing in choose_bb_rdev(). Hence add such checking to fix the problem. Also fix similar problem in choose_slow_rdev().

When rendering certain unicode sequences, grub2's font code doesn't proper validate if the informed glyph's width and height is constrained within bitmap size. As consequence an attacker can craft an input which will lead to a out-of-bounds write into grub2's heap, leading to memory corruption and availability issues. Although complex, arbitrary code execution could not be discarded.

Insufficient bounds checking in ASP (AMD Secure Processor) firmware while handling BIOS mailbox commands, may allow an attacker to write partially-controlled data out-of-bounds to SMM or SEV-ES regions which may lead to a potential loss of integrity and availability.