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CVE-2025-23283: Critical Vulnerability in NVIDIA vGPU Software for Linux-style Hypervisors

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Overview

We’re delving into the alarming vulnerability identified in NVIDIA vGPU software for Linux-style hypervisors, tagged as CVE-2025-23283. This critical security flaw, if successfully exploited, could allow a malicious guest to create a stack buffer overflow in the Virtual GPU Manager. The vulnerability has been assigned a high severity score of 7.8 by the Common Vulnerability Scoring System (CVSS), indicating its potential for serious damage.
Organizations utilizing the NVIDIA vGPU software on Linux-style hypervisors should be aware of this vulnerability as it could lead to severe consequences such as code execution, denial of service, escalation of privileges, information disclosure, or data tampering, potentially compromising the whole system or leading to data leakage.

Vulnerability Summary

CVE ID: CVE-2025-23283
Severity: High (CVSS 7.8)
Attack Vector: Network
Privileges Required: Low
User Interaction: None
Impact: Code execution, Denial of Service, Escalation of privileges, Information disclosure, Data tampering

Affected Products

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Product | Affected Versions

NVIDIA vGPU Software | Versions prior to the latest patch

How the Exploit Works

The exploit works by a malicious guest instigating a stack buffer overflow in the Virtual GPU Manager. This is achieved by sending specially crafted data that exceeds the buffer limit, causing an overflow. This overflow can then result in the execution of arbitrary code or even allow the malicious guest to obtain higher privileges than initially granted. The vulnerability can also lead to denial of service by crashing the system or even leaking sensitive data.

Conceptual Example Code

Here is a conceptual example illustrating how such an exploit might work. This is not actual exploit code, but a representation to help understand the nature of the vulnerability:

# Hypothetical shell command to execute exploit
$ echo "OVERFLOW_PAYLOAD" > /dev/vgpu

In this imagined scenario, “OVERFLOW_PAYLOAD” represents a larger than expected input designed to overflow the buffer in the Virtual GPU Manager. This could potentially lead to unintended consequences such as execution of arbitrary code or escalation of privileges.

Recommended Mitigation

The recommended mitigation is to apply the vendor-supplied patch, which addresses and eliminates this vulnerability. In the absence of the patch or until it can be applied, using a Web Application Firewall (WAF) or an Intrusion Detection System (IDS) can serve as temporary mitigation strategies. These can help detect and prevent attempts to exploit this vulnerability. Always, make sure to keep your systems and software updated to the latest versions to reduce the risk of such vulnerabilities.
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Disclaimer:

The information and code presented in this article are provided for educational and defensive cybersecurity purposes only. Any conceptual or pseudocode examples are simplified representations intended to raise awareness and promote secure development and system configuration practices.

Do not use this information to attempt unauthorized access or exploit vulnerabilities on systems that you do not own or have explicit permission to test.

Ameeba and its authors do not endorse or condone malicious behavior and are not responsible for misuse of the content. Always follow ethical hacking guidelines, responsible disclosure practices, and local laws.
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