Microsoft's AI-Powered Security Copilot Uncovers Critical Vulnerabilities in Open-Source Bootloaders

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Microsoft's AI-powered Security Copilot has discovered 20 previously unknown vulnerabilities in popular open-source bootloaders, highlighting the potential of AI in cybersecurity and the importance of securing fundamental system components.

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Microsoft Leverages AI to Uncover Bootloader Vulnerabilities

Microsoft has demonstrated the power of artificial intelligence in cybersecurity by using its AI-powered Security Copilot to discover 20 previously unknown vulnerabilities in popular open-source bootloaders. The affected bootloaders include GRUB2, which is the default for many Linux distributions, as well as U-Boot and Barebox, commonly used in embedded and IoT devices 12.

Vulnerabilities in GRUB2

Microsoft's AI tool identified 11 vulnerabilities in GRUB2, including:

  • Integer and buffer overflows in filesystem parsers
  • Command flaws
  • A side-channel in cryptographic comparison

These flaws could potentially allow attackers to bypass UEFI Secure Boot and install stealthy bootkits, granting them complete control over the device 1.

U-Boot and Barebox Flaws

An additional 9 vulnerabilities were found in U-Boot and Barebox:

  • Buffer overflows in parsing SquashFS, EXT4, CramFS, JFFS2, and symlinks

While these flaws generally require physical access to exploit, they still pose a significant security risk 13.

Implications of the Vulnerabilities

The discovered vulnerabilities have serious implications:

  1. Bypass of security protections
  2. Execution of arbitrary code
  3. Installation of persistent malware
  4. Potential compromise of additional network devices

Microsoft warns that exploiting these flaws could result in malware that remains intact even after an operating system reinstallation or hard drive replacement 2.

AI's Role in Vulnerability Discovery

Microsoft's use of Security Copilot significantly accelerated the vulnerability discovery process:

  • Saved approximately one week of time compared to manual analysis
  • Provided targeted mitigation recommendations
  • Identified similar bugs in projects sharing code with GRUB2

This demonstrates the potential of AI in enhancing cybersecurity efforts, especially in complex codebases 1.

Severity and Mitigation

Most of the discovered flaws are rated as medium severity, with one (CVE-2025-0678) rated as high severity with a CVSS v3.1 score of 7.8 12.

GRUB2, U-boot, and Barebox released security updates in February 2025 to address these vulnerabilities. Users are strongly advised to update to the latest versions to mitigate the risks 13.

Broader Implications for AI in Cybersecurity

This discovery highlights the growing role of AI in identifying and addressing cybersecurity threats. By accelerating the vulnerability discovery process and providing targeted recommendations, AI tools like Security Copilot can significantly enhance the efficiency and effectiveness of cybersecurity efforts 23.

As AI continues to evolve, it is likely to play an increasingly important role in protecting critical infrastructure and systems from emerging threats, while also raising new questions about the balance between AI-driven security and potential vulnerabilities introduced by AI systems themselves.

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