NVIDIA Windows GPU Display driver software for Windows (all versions) contains a vulnerability in the kernel mode layer (nvlddmkm.sys) handler for DeviceIoControl where the software reads from a buffer using buffer access mechanisms such as indexes or pointers that reference memory locations after the targeted buffer, which may lead to denial of service.

NVIDIA GPU Display Driver for Windows contains a vulnerability in the user mode layer, where an unprivileged regular user can cause an out-of-bounds read. A successful exploit of this vulnerability might lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering.

NVIDIA GPU Display Driver for Linux contains a vulnerability which could allow an attacker unauthorized access to files. A successful exploit of this vulnerability might lead to limited information disclosure.

NVIDIA GPU Display Driver for Windows contains a vulnerability in the user mode layer, where an unprivileged regular user can cause an out-of-bounds read. A successful exploit of this vulnerability might lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering.

NVIDIA GPU Display Driver for Windows contains a vulnerability in the user mode layer, where an unprivileged regular user can cause an out-of-bounds read. A successful exploit of this vulnerability might lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering.

NVIDIA GPU Display Driver for Windows contains a vulnerability in the user mode layer, where an unprivileged regular user can cause an out-of-bounds read. A successful exploit of this vulnerability might lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering.

NVIDIA Triton Inference Server contains a vulnerability where a user may cause an out-of-bounds read issue by releasing a shared memory region while it is in use. A successful exploit of this vulnerability may lead to denial of service.

NVIDIA GPU Display Driver for Windows contains a vulnerability in the user mode layer, where an unprivileged regular user can cause an out-of-bounds write. A successful exploit of this vulnerability may lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering.

NVIDIA GPU Display Driver for Windows contains a vulnerability in the user mode layer, where an unprivileged regular user can cause an out-of-bounds read. A successful exploit of this vulnerability might lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering.

NVIDIA GPU Display Driver for Windows contains a vulnerability in the user mode layer, where an unprivileged regular user can cause an out-of-bounds read. A successful exploit of this vulnerability might lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering.

NVIDIA CUDA toolkit for Linux and Windows contains a vulnerability in cuobjdump, where an attacker may cause an out-of-bounds read by tricking a user into running cuobjdump on a malformed input file. A successful exploit of this vulnerability may lead to limited denial of service, code execution, and limited information disclosure.

NVIDIA CUDA toolkit for Linux and Windows contains a vulnerability in cuobjdump, where an attacker may cause an out-of-bounds memory read by running cuobjdump on a malformed input file. A successful exploit of this vulnerability may lead to limited denial of service, code execution, and limited information disclosure.

NVIDIA CUDA toolkit for Linux and Windows contains a vulnerability in cuobjdump, where an attacker may cause an out-of-bounds read by tricking a user into running cuobjdump on a malformed input file. A successful exploit of this vulnerability may lead to limited denial of service, code execution, and limited 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 read by manipulating shared memory data. A successful exploit of this vulnerability might lead to information disclosure.

NVIDIA nvJPEG contains a vulnerability in jpeg encoding where a user may cause an out-of-bounds read by providing a maliciously crafted input image with dimensions that cause integer overflows in array index calculations. A successful exploit of this vulnerability may lead to denial of service.

NVIDIA GPU Display Driver for Linux contains a vulnerability in the kernel mode layer (nvidia.ko), where an off-by-one error may lead to data tampering or information disclosure.

NVIDIA Windows GPU Display Driver, all versions, contains a vulnerability in the DirectX 11 user mode driver (nvwgf2um/x.dll), in which a specially crafted shader can cause an out of bounds access, leading to denial of service.

A vulnerability has been identified in JT2Go (All versions < V14.1.0.6), Teamcenter Visualization V13.2 (All versions < V13.2.0.12), Teamcenter Visualization V13.3 (All versions < V13.3.0.9), Teamcenter Visualization V13.3 (All versions < V13.3.0.8), Teamcenter Visualization V14.0 (All versions < V14.0.0.5), Teamcenter Visualization V14.0 (All versions < V14.0.0.4), Teamcenter Visualization V14.1 (All versions < V14.1.0.6). The CCITT_G4Decode.dll contains an out of bounds read vulnerability when parsing a RAS file. An attacker can leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-19056)

A flaw was found in the src/list.c of tar 1.33 and earlier. This flaw allows an attacker who can submit a crafted input file to tar to cause uncontrolled consumption of memory. The highest threat from this vulnerability is to system availability.

The dwarf_read_cie_fde_prefix function in dwarf_frame2.c in libdwarf 20151114 allows attackers to cause a denial of service (out-of-bounds read) via a crafted ELF object file.

Easy Grade Pro 4.1.0.2 contains a file parsing logic flaw in the handling of proprietary .EGP gradebook files. By modifying specific fields at precise offsets within an otherwise valid .EGP file, an attacker can trigger an out-of-bounds memory read during parsing. This results in an unhandled access violation and application crash, leading to a local denial-of-service condition when the crafted file is opened by a user.

A flaw was found in the check_chunk_name() function of pngcheck-2.4.0. An attacker able to pass a malicious file to be processed by pngcheck could cause a temporary denial of service, posing a low risk to application availability.

An out-of-bounds access issue was addressed with improved bounds checking. This issue is fixed in iOS 17.6 and iPadOS 17.6, macOS Sonoma 14.6, tvOS 17.6, visionOS 1.3, watchOS 10.6. Processing a maliciously crafted file may lead to unexpected app termination.

readelf in ToaruOS 2.0.1 has some arbitrary address read vulnerabilities when parsing a crafted ELF file.

Due to insufficient validation in the PE and OLE parsers in Rapid7's Velociraptor versions earlier than 0.6.8 allows attacker to crash Velociraptor during parsing of maliciously malformed files.  For this attack to succeed, the attacker needs to be able to introduce malicious files to the system at the same time that Velociraptor attempts to collect any artifacts that attempt to parse PE files, Authenticode signatures, or OLE files. After crashing, the Velociraptor service will restart and it will still be possible to collect other artifacts.