CVE-2025-23339 is a stack-based buffer overflow vulnerability identified in the cuobjdump utility of the NVIDIA CUDA Toolkit, affecting all versions prior to 13.0. The vulnerability arises when cuobjdump processes a maliciously crafted ELF (Executable and Linkable Format) file, leading to a buffer overflow on the stack. This overflow can corrupt the execution stack, potentially allowing an attacker to execute arbitrary code with the privileges of the user running cuobjdump. The vulnerability is classified under CWE-121, which pertains to improper handling of buffer boundaries leading to stack-based buffer overflows. Exploitation requires the attacker to convince a user to run cuobjdump on a malicious ELF file, implying local access and user interaction are necessary. The CVSS v3.1 base score is 3.3, reflecting low severity due to the attack vector being local (AV:L), low privileges required (PR:N), and user interaction needed (UI:R). The impact on confidentiality is limited, with no impact on integrity or availability. No public exploits have been reported, and no patches were linked at the time of publication, though upgrading to CUDA Toolkit 13.0 or later is recommended.

The primary impact of this vulnerability is the potential for arbitrary code execution at the user privilege level, which could allow an attacker to execute malicious code within the context of the compromised user account. While this does not directly affect system-wide integrity or availability, it can lead to unauthorized actions such as data theft or local privilege escalation if combined with other vulnerabilities. Since exploitation requires local access and user interaction, the threat is limited to environments where users run cuobjdump on untrusted ELF files. Organizations relying on NVIDIA CUDA Toolkit for GPU-accelerated computing, AI research, or development may face risks if attackers can trick users into processing malicious files. The low CVSS score and absence of known exploits reduce the immediate risk, but the vulnerability still poses a security concern in sensitive or high-security environments.

To mitigate this vulnerability, organizations should upgrade to NVIDIA CUDA Toolkit version 13.0 or later, where the issue is resolved. Until an upgrade is possible, restrict access to the cuobjdump utility to trusted users only and implement strict file validation policies to prevent running cuobjdump on untrusted or unknown ELF files. Employ endpoint security solutions that monitor and block suspicious file executions and consider sandboxing or isolating environments where cuobjdump is used to limit potential damage. Educate users about the risks of processing untrusted files and enforce the principle of least privilege to minimize the impact of any successful exploit. Regularly review and audit usage of CUDA Toolkit tools to detect anomalous behavior related to ELF file processing.