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Informational 17 Bitcoin

fuzz: support initial async monitor persistence in chanmon_consistency

Public commit record

What the developer wrote

Authored by Joost Jager

83/100 · Strong
fuzz: support initial async monitor persistence in chanmon_consistency

Read the first byte of fuzz input to determine initial monitor styles
for each node (bit 0 = node A, bit 1 = node B, bit 2 = node C). When
set, the node starts with InProgress persistence mode from the
beginning.

This allows fuzzing the async persistence path during initial channel
creation, not just after reload. The make_channel macro now completes
pending monitor updates after watch_channel calls to allow the channel
handshake to proceed.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
✓ 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 only changes a fuzzing test harness (chanmon_consistency) so it can simulate asynchronous channel-monitor persistence from the very start of channel creation. It does not modify production Lightning Dev Kit code, network behavior, or any user-facing logic. There is no direct security vulnerability in the commit itself; it is a test-coverage improvement that may help find bugs in the async persistence path through fuzzing.

Recommended action

No security action required. Review as a normal test/fuzzing improvement. If auditing, verify that the new fuzz coverage actually exercises the intended async persistence edge cases and that the helper macro correctly advances persisted_monitor_id to avoid state inconsistencies in the fuzz target.

Security signals we found

01

Change is confined to a fuzz test harness (fuzz/src/chanmon_consistency.rs)

02

Replaces a test-only panic with handling for async initial persistence

03

Adds fuzz coverage for an existing code path (InProgress monitor persistence at channel creation)

04

No changes to cryptographic, networking, or consensus-critical production code

Risk score

Why this scored 17/100

Our methodology →
Potential impact 2/30
Exploitability 0/25
Stealth signal 1/15
Affected reach 1/15
Confidence 9/10
Evidence quality 4/5
Human-validated context

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