NVIDIA GPU Display Driver for Windows and Linux contains a vulnerability where an attacker could read invalid memory. A successful exploit of this vulnerability might lead to 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 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 sending a request. A successful exploit of this vulnerability might lead to information disclosure.

Bootloader contains a vulnerability in the NV3P server where any user with physical access through USB can trigger an incorrect bounds check, which may lead to buffer overflow, resulting in limited information disclosure, limited data integrity, and denial of service across all components.

NVIDIA Virtual GPU Manager contains a vulnerability in the vGPU plugin, in which the software reads from a buffer by using buffer access mechanisms such as indexes or pointers that reference memory locations after the targeted buffer, which may lead to code execution, denial of service, escalation of privileges, or information disclosure. This affects vGPU version 8.x (prior to 8.4), version 9.x (prior to 9.4) and version 10.x (prior to 10.3).

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

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.

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.

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)

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

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.

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.