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Moderate 59 Bitcoin

fix(tron): Transfer labels instead of Approve

Public commit record

What the developer wrote

Authored by PrisionMike

80/100 · Strong
fix(tron): Transfer labels instead of Approve

- Hot fix.
- Better ETH like functions to be used later.
- Left the unused approve function to be re-used later.

[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 fixes a user-interface labeling bug in Trezor's Tron (TRC-20) token support. Previously, when a user was about to send a normal token transfer, the device screen incorrectly showed 'Approve' wording and labels, which could mislead the user into thinking they were approving a spender rather than sending funds. The fix adds a new 'transfer' confirmation screen and uses it for token transfers, while keeping the old 'approve' screen for future use. The actual transaction logic and signatures were not changed—only what the user sees on screen.

Recommended action

Treat as a low-to-moderate security hardening/UI-safety fix. Verify that the new confirm_tron_transfer screen accurately labels recipient, amount, chain, and maximum fee for all TRC-20 transfer paths, and that no other token operation still incorrectly uses the approve screen. No urgent firmware rollout is required solely for this change, but it should be included in the next release.

Security signals we found

01

UI wording mismatch between 'Approve' and 'Transfer' for TRC-20 token sends

02

New confirm_tron_transfer screen added to four device UI backends

03

Old confirm_tron_approve screen retained but no longer used for transfers

04

chunkify default changed from False to True for Tron approve screen in caesar/eckhart

05

UI test fixture hashes updated for USDT transfer scenarios only

Risk score

Why this scored 59/100

Our methodology →
Potential impact 18/30
Exploitability 12/25
Stealth signal 8/15
Affected reach 10/15
Confidence 7/10
Evidence quality 4/5
Human-validated context

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