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Low 37 Bitcoin

refactor(core): change algorithm for scm_revision obfuscation

Public commit record

What the developer wrote

Authored by cepetr

62/100 · Adequate
refactor(core): change algorithm for scm_revision obfuscation

[no changelog]
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Uses a recognizable type or scope! No meaningful explanatory body
The short version

What changed, and why it matters

This commit changes how the Trezor firmware exposes its internal Git commit hash (the 'revision ID'). Previously the full hash was directly readable by software. Now only a shortened version is stored plainly, while the full hash is lightly scrambled (XORed) and only returned through a function that requires a specific key byte. The goal is to make it harder for a malicious fake Trezor to copy the revision ID from an official firmware update and pretend it is running that official firmware. It is a defensive hardening change, not a fix for an active bug or vulnerability in the traditional sense.

Recommended action

Treat as a hardening improvement rather than an urgent vulnerability patch. Review whether the XOR constants are intended to remain at 0 for all builds or should be randomized per release; if left at 0, the obfuscation provides no effective protection. Verify that downstream tools (Trezor Suite, firmware update verification) correctly call get_scm_revision with the expected XOR2 value and that no code still relies on the removed SCM_REVISION constant. Consider adding a changelog entry because the change is security-relevant.

Security signals we found

01

Defensive obfuscation of firmware revision identifier to mitigate spoofing by malicious bootloaders/fake devices

02

Removal of deterministic build artifact ordering based on SCM_REVISION

03

Introduction of compile-time XOR constants for reversible obfuscation

04

Comment explicitly describes threat model: fake device extracting revision ID from update image

05

No changelog entry despite security-relevant behavior change

Risk score

Why this scored 37/100

Our methodology →
Potential impact 8/30
Exploitability 5/25
Stealth signal 6/15
Affected reach 7/15
Confidence 7/10
Evidence quality 4/5
Human-validated context

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