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Low 27 Bitcoin

Remove tx_signatures flags for interactive signing ChannelState

Public commit record

What the developer wrote

Authored by Wilmer Paulino

73/100 · Adequate
Remove tx_signatures flags for interactive signing ChannelState

This commit addresses an overlap of state between
`InteractiveTxSigningSession` and `ChannelState::FundingNegotiated`. The
signing session already tracks whether both holder and counterparty
`tx_signatures` have been produced, so tracking the state duplicatively
at the `ChannelState` level is unnecessary.
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context
The short version

What changed, and why it matters

This commit is a code cleanup in a Bitcoin Lightning network library. It removes duplicate state-tracking flags from the channel state and instead relies on an existing 'interactive signing session' object to track the same information. The change simplifies the code and reduces the chance of inconsistent state, but it does not appear to fix an active security bug on its own. Some behavior changes in error handling are visible, but they look like incidental adjustments rather than a disclosed vulnerability fix.

Recommended action

Treat as a normal refactoring/correctness improvement. Reviewers should verify that the session-based checks exactly preserve the previous state-machine invariants, particularly around reconnection/restart persistence and the splice path where a debug_assert replaced a runtime error. No urgent security response is indicated by the available evidence.

Security signals we found

01

State-machine simplification: removes duplicated state that could become inconsistent

02

Some error paths changed from Close to Ignore for unexpected/duplicate tx_signatures

03

One method (splice_initial_commitment_signed) changed from pub to private and from explicit error to debug_assert

04

No explicit security relevance, CVE, or researcher attribution in commit or references

Risk score

Why this scored 27/100

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

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