The Rise of AI in Firmware Security

BIOS-locked laptops frequently appear on the secondary market at significantly reduced prices due to the severe functional limitations imposed by firmware security. While these security measures were once difficult to circumvent—often requiring physical tampering like removing the CMOS battery—modern manufacturer safeguards have made them increasingly robust. However, recent developments suggest that AI tools may now provide a path to bypass these restrictions.


The Experiment: Bypassing HP BIOS Restrictions

A Reddit user known as Reddit_2049 recently demonstrated a successful attempt to unlock an HP 15-dw1036ne laptop using Claude Code. While the specific nature of the lock remains unconfirmed, the device was preventing access to standard startup configurations and BIOS settings. Unlike high-end commercial systems that link firmware locks to the TPM (Trusted Platform Module), this consumer-grade model appeared to be susceptible to manual intervention.


The device was running BIOS version F.68. The user employed a CH341A chip flasher along with code disassembly tools; however, the system was equipped with integrity checks that triggered a "BIOS Corruption Detected" error whenever the firmware was altered.


How Claude Code Facilitated the Unlock

Lacking existing documentation for bypassing this specific firmware version, the user leveraged Claude Code to analyze the BIOS dump. According to the report, the AI was instrumental in identifying and patching the firmware. The process involved three critical stages:

  • Bypassing the RSA-2048 DXE-FV signature check.
  • Unlocking 55 hidden setup fields.
  • Exposing advanced BIOS configuration tabs.

The user noted: «Claude Code successfully navigated the complex binary structure, allowing for a fully functional and unrestricted BIOS environment on the HP laptop.»


Future Implications for Hardware Modding

The successful modification has been documented with a Python script provided by the creator, which automates the backup and patching process for this specific model. While the developer warns that this solution is not universal and carries risks for other hardware revisions, the implications are significant.


This case study indicates a shift in how security researchers and enthusiasts approach firmware locks. By delegating the analysis of complex, proprietary code to AI models, users can now potentially overcome security hurdles that were previously considered too labor-intensive or technically challenging to resolve.