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Low 37 Bitcoin

eth: implement streaming for typed data messages

Public commit record

What the developer wrote

Authored by Tomas Vrba

78/100 · Adequate
eth: implement streaming for typed data messages

eth: add typed data streaming to python API

show size of truncated string, show ellipsis

add a multiline string test case

- adds a test case to make use of multiline string handling code from in
the .js test generator
- adjust rust test loader to handle strings, not just bytes
✓ Descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context✓ Mentions testing or verification
The short version

What changed, and why it matters

This commit extends an existing Ethereum data-streaming feature so it also works for EIP-712 typed messages with large data fields (e.g., a 50 KB 'bytes' field). Previously, only large Ethereum transaction data could be streamed in chunks; now the same chunking is applied to typed-message values. The change also improves on-screen display of long values by warning the user when a value is too large to show in full and by showing an ellipsis. It is a feature addition with defensive input checks, not a fix for a known vulnerability.

Recommended action

No immediate action required; this is a feature commit. Reviewers and users should ensure they upgrade both firmware and the Python library together, because the new `data_length` field is only meaningful on firmware that supports it. Wallets/integrators using the Python API will automatically benefit from streaming for large typed-message data.

Security signals we found

01

New protocol field `data_length` gated by size threshold

02

Streaming restricted to dynamic `bytes` type; other types rejected with `Error::InvalidInput`

03

Maximum streaming length capped at 1 MB (`MAX_TYPED_MSG_STREAMING_DATA_LENGTH`)

04

Mutually exclusive `value` and `data_length` enforced

05

User-facing warning when a value cannot be fully displayed

06

Extensive unit tests and generated cross-implementation test vectors added

Risk score

Why this scored 37/100

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

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