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Informational 13 Bitcoin

fuzz: model chanmon persistence in harness

Public commit record

What the developer wrote

Authored by Joost Jager

78/100 · Adequate
fuzz: model chanmon persistence in harness

Replace the chanmon consistency harness' Watch wrapper with a Persist
implementation backed by HarnessPersister. Monitor writes now flow
through the real ChainMonitor persistence hooks.

Track restart candidates separately from monitor completion callbacks. A
monitor can stop being a valid reload candidate once a newer baseline is
durable, while its callback may still be needed to unblock the live
ChainMonitor.

On reload, choose the durable baseline, first pending snapshot, or last
pending snapshot. Startup monitor registration completes immediately
before the configured persistence style is restored.
✓ 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 changes an internal fuzz-testing harness for the Lightning Dev Kit (LDK) project. It does not modify production code, user-facing APIs, or network behavior. Instead, it improves how the fuzzer simulates saving and reloading channel monitor data during restarts, making the test more realistic. There is no indication this fixes a security vulnerability in real LDK software.

Recommended action

No security action required. Treat as a normal test-infrastructure improvement. If reviewing, verify the harness correctly models LDK's persistence contract, but this is a code-quality/testing concern, not a security patch.

Security signals we found

01

No production code changed

02

Test-only fuzz harness refactor

03

No mention of vulnerability, CVE, security fix, or exploit in commit message or diff

04

Changes improve test fidelity of persistence/restart behavior

Risk score

Why this scored 13/100

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

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