NVIDIA Megatron Bridge में एक डेटा शफलिंग ट्यूटोरियल में एक भेद्यता मौजूद है, जहाँ दुर्भावनापूर्ण इनपुट कोड इंजेक्शन का कारण बन सकता है। इस भेद्यता का सफल शोषण कोड निष्पादन (code execution) की ओर ले जा सकता है।

The primary impact of CVE-2025-33240 is the potential for arbitrary code execution within the context of the Megatron Bridge environment. An attacker could leverage this vulnerability to gain control over the system running the tutorial, potentially leading to privilege escalation if the process is running with elevated permissions. Data disclosure is also a significant risk, as an attacker could access sensitive training data or model parameters. Furthermore, the attacker could tamper with the training process, potentially corrupting the model or introducing biases. The blast radius extends to any environment utilizing the vulnerable tutorial, particularly those handling sensitive data or critical infrastructure.

Organizations and individuals utilizing NVIDIA Megatron Bridge for large language model training are at risk, particularly those running the vulnerable data shuffling tutorial. Researchers and developers experimenting with the tool are also potentially exposed. Environments where the tutorial is used with sensitive data or integrated into automated pipelines face the highest risk.

• python / tutorial: Examine tutorial code for unsanitized user input. Look for eval() or exec() calls using external data.

import ast

def sanitize_input(user_input):
  try:
    ast.parse(user_input)
    return user_input
  except SyntaxError:
    return ""

• generic web: Monitor access logs for unusual requests to the tutorial endpoint. Look for POST requests with potentially malicious payloads. • generic web: Check response headers for unexpected content or error messages related to code execution.

1. 2026-02-18Disclosure

   disclosure

1. आरक्षित2025-04-15
2. प्रकाशित2026-02-18
3. EPSS अद्यतन2026-03-23

The primary mitigation for CVE-2025-33240 is to immediately upgrade NVIDIA Megatron Bridge to version 0.2.2 or later. If an upgrade is not immediately feasible due to compatibility concerns or breaking changes, carefully review the tutorial code for any user-supplied input that could be exploited. Input sanitization and validation are crucial. Consider isolating the tutorial execution environment to limit the potential impact of a successful exploit. While a WAF is unlikely to be effective here, restricting access to the tutorial endpoint could reduce the attack surface. There are no specific Sigma or YARA rules available at this time.