Listen to this Post
NVIDIA has released urgent security updates to patch two high-severity vulnerabilities in its NeMo Framework, a popular toolkit for natural language processing and AI model development. These flaws, affecting all versions prior to 2.5.0, allow attackers with minimal system access to execute arbitrary code, escalate privileges, and potentially compromise entire systems. Organizations relying on NeMo for AI and machine learning projects face significant risk if these updates are not applied immediately.
Critical Vulnerabilities Threaten NeMo Framework Security
NVIDIA identified two critical vulnerabilities in the NeMo Framework: CVE-2025-23361 and CVE-2025-33178. Both pose serious threats to system integrity, enabling attackers to exploit the framework even with low-level privileges.
CVE-2025-23361 stems from improper handling of code generation in NeMo scripts. The vulnerability fails to validate user-supplied input, making it possible for attackers to craft malicious data that manipulates the code-generation process. The result: arbitrary code execution that could compromise entire systems.
CVE-2025-33178 targets the BERT services component, widely used for natural language understanding. This flaw allows attackers to inject malicious code through unsanitized input. Like CVE-2025-23361, it can be exploited with minimal effort and low privileges.
Both vulnerabilities share a CVSS v3.1 base score of 7.8, marking them as high severity, and they carry the same attack profile: local access with low privilege requirements. Exploitation could lead to complete system compromise, including unauthorized access, data tampering, and full privilege escalation.
NVIDIA urges users to upgrade to NeMo Framework version 2.5.0 or later immediately. The update is available via the official GitHub repository
and Python Package Index (PyPI)
. The widespread impact of these vulnerabilities makes it essential for organizations to prioritize this update across development, testing, and production environments.
TencentAISec reported CVE-2025-23361, while researchers Guanheng Liu and Pinji Chen from Tsinghua University’s NISL lab discovered CVE-2025-33178. These findings highlight the importance of community-driven security research in identifying and mitigating critical software vulnerabilities.
CVE ID Component Vulnerability Type CVSS Score Severity CWE Primary Impact Attack Vector Privileges Required
CVE-2025-23361 NeMo Framework Script Improper Code Generation Control 7.8 High CWE-94 Code Execution, Privilege Escalation, Data Tampering, Information Disclosure Local (AV:L) Low (PR:L)
CVE-2025-33178 BERT Services Component Code Injection 7.8 High CWE-94 Code Execution, Privilege Escalation, Data Tampering, Information Disclosure Local (AV:L) Low (PR:L)
What Undercode Say: Deep Analysis
The discovery of these vulnerabilities exposes a key risk in AI development frameworks: the combination of local access and low privilege exploitation. NeMo’s popularity among AI developers, especially for natural language processing and machine learning workflows, makes these flaws particularly dangerous.
Low-privilege exploits are especially concerning because they bypass traditional protections. Developers often run NeMo locally with standard user accounts, assuming that full system compromise requires administrative privileges. These vulnerabilities invalidate that assumption, creating a direct path for attackers to escalate privileges and execute malicious code.
The fact that both CVEs share similar attack vectors and high CVSS scores indicates systemic weaknesses in NeMo’s code-validation mechanisms. Improper input sanitization and insufficient code-generation checks are recurring issues in many AI frameworks. This incident underlines the importance of rigorous security audits for AI tools that are increasingly integrated into enterprise pipelines.
Organizations should consider implementing additional defensive layers beyond simply updating the framework. Sandbox environments, strict access controls, and continuous monitoring for anomalous activity could reduce the risk of exploitation in case similar vulnerabilities arise in the future.
Moreover, AI developers must reassess the security hygiene of model-serving components like BERT services. The potential for code injection through unsanitized inputs is not limited to NeMo; it’s a broader challenge in AI deployment that requires proactive mitigation strategies, including input validation, code reviews, and automated vulnerability scanning.
In a broader context, the discovery highlights the growing intersection of AI and cybersecurity. As AI tools become more widespread, their vulnerabilities can have far-reaching consequences, including data leaks, compromised models, and disrupted operations. Security teams and AI engineers need to collaborate closely to ensure frameworks like NeMo are not only functional but resilient to attacks.
Ultimately, immediate patching is only the first step. Organizations must maintain vigilance, continuously evaluate AI infrastructure, and anticipate emerging threats in the AI ecosystem.
Fact Checker Results
✅ Both CVEs are confirmed high-severity vulnerabilities affecting NeMo versions prior to 2.5.0.
✅ Exploitation requires only local access with low privileges.
❌ There is no evidence that these vulnerabilities have been exploited in widespread attacks so far.
Prediction
📊 Expect rapid adoption of NeMo 2.5.0 across enterprises to mitigate these risks.
📊 AI framework providers will likely prioritize stricter input validation and code generation safeguards in upcoming releases.
📊 Future attacks may target similar AI toolkits, making proactive patching and monitoring critical for organizations leveraging AI technologies.
🕵️📝✔️Let’s dive deep and fact‑check.
References:
Reported By: cyberpress.org
Extra Source Hub (Possible Sources for article):
https://www.reddit.com
Wikipedia
OpenAi & Undercode AI
Image Source:
Unsplash
Undercode AI DI v2
Bing
🔐JOIN OUR CYBER WORLD [ CVE News • HackMonitor • UndercodeNews ]
📢 Follow UndercodeNews & Stay Tuned:
𝕏 formerly Twitter 🐦 | @ Threads | 🔗 Linkedin | 🦋BlueSky | 🐘Mastodon
