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Informational 17 Bitcoin

lnwire: update ChannelReestablish with LocalNonces field

Public commit record

What the developer wrote

Authored by Olaoluwa Osuntokun

83/100 · Strong
lnwire: update ChannelReestablish with LocalNonces field

Extends the ChannelReestablish message to include a new optional
LocalNonces field alongside the existing LocalNonce field. This enables
backwards-compatible transmission of multiple nonces for different
purposes during channel reestablishment.

Changes include:
- Add LocalNonces field to ChannelReestablish struct
- Update Encode/Decode methods to handle the new TLV field
- Extend property-based testing to randomly include LocalNonces
- Maintain full backwards compatibility with existing LocalNonce field
✓ 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 a new optional data field called LocalNonces to a Lightning Network channel-recovery message. It is a protocol-extension change designed to support multiple cryptographic nonces for in-flight channel operations (such as splices). There is no direct evidence in the commit that this fixes or introduces a security vulnerability; it appears to be a feature/backwards-compatible protocol update.

Recommended action

Treat as a routine protocol-extension commit. Review the full definition of LocalNoncesData/OptLocalNonces (not shown in the diff) for map-size limits, duplicate-key behavior, and deserialization bounds to ensure no DoS or memory-exhaustion path is introduced. No immediate security action is warranted based solely on this diff.

Security signals we found

01

New optional TLV field added to a consensus-adjacent P2P message

02

Backwards-compatible encoding claimed by commit message

03

No validation, bounds, or duplicate-key handling changes visible in the diff

04

No explicit security relevance, CVE, or bug-fix language in commit or title

Risk score

Why this scored 17/100

Our methodology →
Potential impact 2/30
Exploitability 1/25
Stealth signal 1/15
Affected reach 2/15
Confidence 8/10
Evidence quality 3/5
Human-validated context

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