CVE-2025-62608 Exploit Fix & Mitigation Guide

Vulnerability Summary

MLX is an array framework for machine learning on Apple silicon. Prior to version 0.29.4, there is a heap buffer overflow in mlx::core::load() when parsing malicious NumPy .npy files. Attacker-controlled file causes 13-byte out-of-bounds read, leading to crash or information disclosure. This issue has been patched in version 0.29.4.

Why is this Critical?

This vulnerability allows attackers to bypass security boundaries. If successfully exploited, malicious actors could gain unauthorized access to sensitive data, execute arbitrary code, or disrupt critical services. For enterprise environments, this poses a severe risk of data breaches and compliance violations (GDPR/HIPAA).

Security Best Practices

• Patch Management: Automate security updates to reduce the exposure window.
• Network Segmentation: Isolate critical services to prevent lateral movement.
• Traffic Monitoring: Use intrusion detection systems to spot exploitation attempts.