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Low 34 Bitcoin

Gate holder broadcast queueing on funding confirmation

Public commit record

What the developer wrote

Authored by Martin Saposnic

73/100 · Adequate
Gate holder broadcast queueing on funding confirmation

Don't queue holder commitment broadcasts until funding is confirmed,
unless explicitly overridden via broadcast_latest_holder_commitment_txn.

Attempting to broadcast commitments before funding confirms would fail
mempool validation since the funding output doesn't exist yet.
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context
The short version

What changed, and why it matters

This change fixes a logic bug in Lightning Dev Kit's channel monitor. When a user manually broadcasts their own funding transaction (rather than letting LDK do it automatically), the software could previously try to broadcast a commitment transaction before the funding transaction had actually appeared on the blockchain. Because commitment transactions spend the funding output, broadcasting them too early would fail mempool validation and could generate unnecessary fee-bumping notifications for transactions that cannot yet confirm. The patch suppresses automatic commitment broadcasts until the funding transaction is observed on-chain, while still allowing an explicit override via a public API method.

Recommended action

Review and merge. The change is defensive and corrects a functional issue that could cause failed broadcasts and confusing fee-bumping events. No immediate security emergency, but users relying on manual funding broadcast should upgrade to avoid operational issues.

Security signals we found

01

Prevents broadcast of unconfirmable holder commitment transactions in manual-funding mode

02

Avoids spurious Event::BumpTransaction notifications for transactions dependent on unseen funding

03

Adds explicit override API with documented risk of unconfirmable broadcasts

04

Gates automatic monitor-initiated broadcasts on funding confirmation

Risk score

Why this scored 34/100

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

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