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Informational 12 Bitcoin

bootloader: use shared stage1 header tool

Public commit record

What the developer wrote

Authored by Niklas Dusenlund

78/100 · Adequate
bootloader: use shared stage1 header tool

Generate stage1 headers from per-target JSON manifests with the existing
image_header.py commands. Link the generated header object, finalize the
ELF image length, and then create the binary with objcopy.

Remove the C header placeholder and the unused header-generation command
and helpers from bootloader_update.py. Retain its upgrade-asset validation
and leave image_header.py unchanged.

All eight stage1 variants build. Generated headers match the previous C
implementation, and binaries match the previous post-processing output.
The updated Python tests and type checks pass, and both retained embedding
commands successfully process all 16 shipped bootloader assets.
✓ Descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context✓ Mentions testing or verification
The short version

What changed, and why it matters

This commit is a build-system refactoring for the BitBox02 bootloader. It replaces a C-language placeholder for the bootloader's stage1 header with a Python tool that generates the same header from JSON manifests during the build. The old Python helper that prepared unsigned stage1 images is removed because it is no longer needed. The commit explicitly states that generated headers and final binaries match the previous output, and tests were updated and pass. There is no indication of a security vulnerability being fixed or introduced.

Recommended action

No security action required. Treat as a normal build-refactoring commit. Reviewers may optionally verify reproducibility by comparing generated stage1 binaries against pre-change artifacts, as the commit already claims they match.

Security signals we found

No strong security signals were identified.

Risk score

Why this scored 12/100

Our methodology →
Potential impact 0/30
Exploitability 0/25
Stealth signal 0/15
Affected reach 0/15
Confidence 8/10
Evidence quality 4/5
Human-validated context

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