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CVE-2025-33219 is an integer overflow vulnerability in the NVIDIA Display Driver for Linux, specifically within the NVIDIA kernel module. An attacker who can cause an integer overflow or wraparound may achieve code execution, privilege escalation, data tampering, denial of service, or information disclosure. The vulnerability was published on January 28, 2026, and affects a wide range of NVIDIA GPU product lines including GeForce, RTX/Quadro, Tesla, and vGPU products across multiple driver branches. It carries a CVSS v3.1 base score of 7.8 (High), assigned by NVIDIA Corporation (Red Hat CVE, NVIDIA Advisory).
The root cause is classified as CWE-190 (Integer Overflow or Wraparound), where arithmetic operations in the NVIDIA kernel module fail to properly validate or bound integer values, potentially resulting in memory corruption or unexpected control flow. Exploitation requires local access with low privileges (no user interaction needed), making it accessible to any unprivileged local user or process on an affected Linux system. The attack vector is local (AV:L), with low complexity (AC:L), meaning no special conditions or race conditions are required beyond having a local account. No public proof-of-concept code has been identified at this time (Red Hat CVE, NVIDIA Advisory).
Successful exploitation could allow a local attacker to escalate privileges to kernel-level access, execute arbitrary code, tamper with data, cause denial of service, or disclose sensitive information. The scope is limited to the affected system (S:U), but kernel-level compromise could enable full system takeover, persistence, and lateral movement within a network. In virtualized environments, the vulnerability also affects vGPU guest drivers and Virtual GPU Manager, raising the risk of guest-to-host escape scenarios (Security Online, NVIDIA Advisory).
No public exploit code or in-the-wild exploitation has been reported for CVE-2025-33219 as of the available data. The EPSS score is approximately 0.005% (0.000050), indicating a very low current probability of exploitation in the wild. The vulnerability is not listed in the CISA Known Exploited Vulnerabilities (KEV) catalog. Detection signatures have been published by Nessus (multiple plugin IDs including 297217, 297266, 297690) and Qualys (multiple detection IDs), enabling scanner-based identification of vulnerable systems (Red Hat CVE, Tenable Nessus).
NVIDIA has released patched driver versions addressing this vulnerability across all affected product lines. Users should update to the following minimum versions:
No configuration-based workarounds are documented; upgrading to a patched driver is the recommended remediation (NVIDIA Advisory, Security Online).
The vulnerability received broad coverage from security news outlets including CyberSecurityNews, GBHackers, eSecurity Planet, and The Hacker News (in a weekly recap), highlighting concerns about privilege escalation risks across millions of systems worldwide. Security Online specifically noted the guest-to-host escape risk in vGPU environments as a critical concern for virtualized infrastructure. The disclosure was also noted on social platforms including Mastodon and Bluesky by security community accounts. Windows Central covered the release of a dedicated security driver update for older NVIDIA GPU architectures (Maxwell, Pascal, Volta) in connection with this bulletin (CyberSecurityNews, Security Online, Windows Central).
Fix availability across major Linux distributions and their releases.
bookworm
nvidia-open-gpu-kernel-modules
sid
nvidia-open-gpu-kernel-modules
trixie
nvidia-open-gpu-kernel-modules
bionic (esm-infra)
nvidia-graphics-drivers-340-updates
devel
nvidia-graphics-drivers-580: 580.126.09-0ubuntu2
focal (esm-infra)
nvidia-graphics-drivers-495
jammy
nvidia-graphics-drivers-535: 535.288.01-0ubuntu0.22.04.1
noble
nvidia-graphics-drivers-535: 535.288.01-0ubuntu0.24.04.1
noble (esm-apps)
nvidia-graphics-drivers-525
questing
nvidia-graphics-drivers-580: 580.126.09-0ubuntu0.25.10.1
resolute
nvidia-graphics-drivers-580: 580.126.09-0ubuntu2
Source: This report was generated using AI
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