AI-generated analysisPublished automatically and not human-verified. Validated context appears in community notes below.
← Watch feed
Low 27 Bitcoin

feat(tron): Unblind Shasta USDT transfer

Public commit record

What the developer wrote

Authored by PrisionMike

80/100 · Strong
feat(tron): Unblind Shasta USDT transfer

- Hardcoded USDT address
- Contract parsing logic identical to Ethereum
- Imports from app/ethereum.
- Some TODOs added for subsequent feats.

[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 adds support for showing clear, human-readable details when signing a Shasta testnet USDT token transfer on the Tron blockchain. Previously, such transactions were displayed as opaque smart-contract data. The change borrows parsing logic from the Ethereum app and hardcodes one testnet token address. It is a feature addition, not a fix for an active vulnerability, though it reduces the chance a user accidentally approves a misleading token transaction.

Recommended action

Review whether the hardcoded Shasta USDT address and chain_id are appropriate for production firmware, and ensure the fallback unknown-contract path still warns users adequately. Complete the TODOs to generalize token discovery and remove Ethereum-specific string references before wider rollout.

Security signals we found

01

Hardcoded token metadata (name, decimals, symbol) for a single testnet contract

02

Reused Ethereum ABI parsing logic for Tron TRC-20 transfer decoding

03

Address validation added in get_encoded_address() (length 34, prefix 'T')

04

UI now displays decoded recipient and amount instead of raw contract data for recognized USDT transfers

05

No changelog entry despite user-visible behavioral change

Risk score

Why this scored 27/100

Our methodology →
Potential impact 5/30
Exploitability 4/25
Stealth signal 3/15
Affected reach 5/15
Confidence 7/10
Evidence quality 3/5
Human-validated context

Community notes

Notes can correct, qualify, or add evidence to the AI analysis. Every note shown here has been validated by a human moderator.

No validated notes yet.

The AI analysis stands alone for now. Submit a note if you can add evidence or important context.