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Low 30 Bitcoin

build(core): collect micropython GC root pointers

Public commit record

What the developer wrote

Authored by Martin Milata

80/100 · Strong
build(core): collect micropython GC root pointers

Relevant micropython commits:
fc3d7ae11be11a7f05709ebfd439061fce9ee555 py/make_root_pointers: Add MP_REGISTER_ROOT_POINTER parser/generator.
7e4b205cb00013b272e4cf9fac128866bf0e1f21 py/mpstate: Drop MICROPY_PORT_ROOT_POINTERS from mp_state_vm_t.

[no changelog]
✓ Descriptive subject✓ Names a concrete action or component✓ Uses a recognizable type or scope✓ Provides detailed explanatory context
The short version

What changed, and why it matters

This commit updates the Trezor firmware build system to use a newer MicroPython mechanism for tracking special memory pointers called 'root pointers.' It removes hard-coded lists of these pointers from configuration files and instead collects them automatically from source files during the build. The change itself is a build-system modernization and does not appear to fix an active security bug, but it helps prevent a class of future memory-management mistakes that could, in theory, lead to device instability or security issues.

Recommended action

Treat as a routine build-system maintenance commit. Reviewers should verify that the new CollectRootPointers/GenerateRootPointers build steps correctly capture all previously manually declared root pointers (trezorconfig_ui_wait_callback, readline_hist, mmap_region_head) and that generated root_pointers.h is included in the firmware build. No immediate security response is indicated, but downstream firmware builds should confirm no root pointer regressions occur.

Security signals we found

01

GC root pointer handling changed

02

Build system now auto-collects root pointers instead of hard-coding them

03

Removes manual MICROPY_PORT_ROOT_POINTERS lists

04

No explicit vulnerability or CVE mentioned in commit

05

No changelog entry (marked [no changelog])

Risk score

Why this scored 30/100

Our methodology →
Potential impact 5/30
Exploitability 5/25
Stealth signal 5/15
Affected reach 5/15
Confidence 7/10
Evidence quality 3/5
Human-validated context

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