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Low 31 Bitcoin

refactor: replace calls to `flow_confirm_output`

Public commit record

What the developer wrote

Authored by Ioan Bizău

80/100 · Strong
refactor: replace calls to `flow_confirm_output`

Replace all calls to `flow_confirm_output` that pass `summary_items`
thus causing the `ConfirmOutputWithSummary` Rust flow to be used with
uPy flows using `confirm_linear_flow`. This is a prerequisite for
getting rid of `ConfirmOutputWithSummary`.

[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 refactors how Trezor hardware wallets display transaction confirmation screens for Ethereum and Solana operations. It replaces an older Rust-based confirmation flow with a newer MicroPython-based linear flow. The change is described by the developer as a cleanup step to remove an old UI component. There is no direct evidence in the commit that this fixes a security vulnerability, but any change to transaction confirmation logic carries a risk of accidentally altering what users see or approve.

Recommended action

Treat as a routine refactor with indirect security relevance. Reviewers should verify that the new `confirm_linear_flow` sequences present the same critical transaction data (recipient, amount, maximum fee, account/path info) to the user in the same order and with equivalent confirmation semantics, and that no button-request or cancellation behavior has changed in a way that could be exploited. No immediate security response is indicated by the diff alone.

Security signals we found

01

UI flow refactor for transaction confirmation screens

02

Replacement of Rust-backed `flow_confirm_output` with uPy `confirm_linear_flow`

03

Changes to Ethereum send, Ethereum staking, and Solana staking confirmation flows

04

No changelog entry and no security mention in commit message

05

Potential for behavioral differences in how account info, fee details, and summary items are presented to the user

Risk score

Why this scored 31/100

Our methodology →
Potential impact 5/30
Exploitability 5/25
Stealth signal 5/15
Affected reach 10/15
Confidence 4/10
Evidence quality 2/5
Human-validated context

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