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Informational 12 Bitcoin

funding/test: add test for inline channel_ready processing

Public commit record

What the developer wrote

Authored by Olaoluwa Osuntokun

88/100 · Strong
funding/test: add test for inline channel_ready processing

In this commit, we add TestChannelReadyUnknownChannelID which verifies
that channel_ready messages with unrecognized ChannelIDs are processed
inline in the reservation coordinator without spawning goroutines. The
test sends 100 channel_ready messages with random ChannelIDs, waits for
all of them to be consumed (verified via a FindChannel call counter),
then asserts that the goroutine count hasn't grown proportionally. It
also confirms the coordinator remains responsive by successfully opening
a new channel after the batch completes.
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context✓ Mentions testing or verification✓ Names security-relevant behavior explicitly
The short version

What changed, and why it matters

This commit only adds a new automated test to the codebase. It does not change any production logic, fix a bug, or alter how the software handles network messages. The test checks that the funding manager can handle many unexpected 'channel ready' messages without getting stuck or using too many goroutines. Because it is purely a test addition, there is no direct security vulnerability or patch here.

Recommended action

No action required. This is a test-only commit. If reviewing a related series, check whether a preceding or following commit changes production handling of channel_ready messages.

Security signals we found

01

Test targets resilience of funding manager to unexpected channel_ready messages

02

Test asserts coordinator does not wedge and remains responsive

03

Test asserts goroutine count does not grow proportionally under batch of unknown messages

04

No production code changes; purely test coverage

Risk score

Why this scored 12/100

Our methodology →
Potential impact 0/30
Exploitability 0/25
Stealth signal 0/15
Affected reach 0/15
Confidence 8/10
Evidence quality 4/5
Human-validated context

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