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CVE-2025-23313: Critical Vulnerability in NVIDIA NeMo Framework Leads to Potential System Compromise

Overview

A serious vulnerability has been discovered in NVIDIA’s NeMo Framework that affects all platforms. Identified as CVE-2025-23313, this flaw exists in the NLP component and could potentially allow an attacker to perform a code injection. The vulnerability is particularly concerning due to its wide impact, with successful exploitation leading not just to code execution but also to privilege escalation, information disclosure, and data tampering.

Vulnerability Summary

CVE ID: CVE-2025-23313
Severity: High (7.8 CVSS score)
Attack Vector: Network
Privileges Required: None
User Interaction: None
Impact: Potential system compromise, data leakage, and unauthorized escalation of privileges

Affected Products

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Product | Affected Versions

NVIDIA NeMo | All Versions

How the Exploit Works

The exploit takes advantage of a flaw in the NLP component of NVIDIA’s NeMo Framework. By crafting malicious data, an attacker can inject code into the system. Once this malicious code is executed, it allows the attacker to escalate their privileges, access sensitive information, and potentially tamper with data.

Conceptual Example Code

Here is a conceptual example of how the vulnerability might be exploited. This is a pseudocode representation and should not be taken as a literal exploit:

POST /nvidia/nemo/vulnerable/NLP HTTP/1.1
Host: target.example.com
Content-Type: application/json
{ "malicious_payload": "Injected_Code_Here" }

In the above example, the attacker sends a POST request to the vulnerable NLP endpoint with a malicious payload, which represents the injected code. Once this request is processed by the server, the injected code would be executed, leading to the potential exploits described above.

Mitigation

NVIDIA has released a patch to address this vulnerability, and it is recommended that all users apply this patch immediately. If patching is not immediately possible, temporary mitigation can be achieved by implementing a Web Application Firewall (WAF) or Intrusion Detection System (IDS) to detect and block malicious traffic exploiting this vulnerability.

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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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