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Informational 11 Bitcoin

eth: prepare and generate proto files for data streaming

Public commit record

What the developer wrote

Authored by Tomas Vrba

83/100 · Strong
eth: prepare and generate proto files for data streaming

update existing tests to include the new data length field

Adds new protobuf fields to support streaming large transaction data:
- data_length: Indicates total data size (triggers streaming mode if > 6144)
- EthSignDataRequestChunkResponse: Request for a data chunk at offset/length
- EthSignDataResponseChunkRequest: Response containing the requested chunk

Regenerates all protobuf files (Python, Rust, C) from the updated .proto.

Updates existing tests to populate the new data_length field (set to 0
for traditional mode where all data is sent inline).
✓ Specific, 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 adds new message definitions and generated code to support streaming large Ethereum transaction data in chunks, but it does not implement the actual streaming logic. Existing tests are updated only to include the new optional field set to zero, meaning the current behavior is unchanged. There is no indication this is a security fix or introduces a vulnerability.

Recommended action

No immediate security action required. Treat as a feature scaffolding commit. When the streaming implementation is added, review it carefully for bounds checking on offset/length, chunk size limits, memory exhaustion, and consistency between data_length and delivered chunks.

Security signals we found

01

New protobuf fields added for future streaming feature

02

Streaming request type explicitly rejected with InvalidState in current code

03

No validation or processing logic implemented for data_length or chunk messages

04

Tests only exercise data_length=0 (legacy inline-data mode)

Risk score

Why this scored 11/100

Our methodology →
Potential impact 0/30
Exploitability 0/25
Stealth signal 0/15
Affected reach 0/15
Confidence 8/10
Evidence quality 3/5
Human-validated context

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