AI-generated analysisPublished automatically and not human-verified. Validated context appears in community notes below.
← Watch feed
Informational 15 Bitcoin

Filter stale closed hop sends in chanmon fuzz

Public commit record

What the developer wrote

Authored by Joost Jager

78/100 · Adequate
Filter stale closed hop sends in chanmon fuzz

Hop sends can route over an open SCID while LDK's non-strict
forwarding still selects a parallel channel that the harness has
already tracked closed but a node still lists. Skip those API sends
until the stale listing clears, while keeping the existing open-id
checks for fully dropped closed channels.
✓ 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 change only modifies a fuzzing test harness, not the production Lightning Dev Kit code. It adds a filter so that simulated multi-hop payments skip test scenarios where the harness's view of a closed channel is temporarily out of sync with a node's own channel list. This prevents the fuzzer from generating misleading test cases where a payment appears to stall because the test state is inconsistent. It does not fix a vulnerability in real LDK software and cannot be exploited by users or attackers.

Recommended action

No security action required. Treat as a normal fuzzing-harness reliability improvement. Reviewers may verify that the filter correctly excludes the intended stale-state scenarios without reducing fuzz coverage of legitimate edge cases.

Security signals we found

01

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

02

No modifications to production networking, routing, or channel state machine logic

03

Commentary describes a test-state inconsistency, not a real-world protocol failure

04

No cryptographic, authorization, or input-validation changes

Risk score

Why this scored 15/100

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

Community notes

Notes can correct, qualify, or add evidence to the AI analysis. Every note shown here has been validated by a human moderator.

No validated notes yet.

The AI analysis stands alone for now. Submit a note if you can add evidence or important context.