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Moderate 60 Bitcoin

graphdb: fix potential sql tx exhaustion

Public commit record

What the developer wrote

Authored by ziggie

68/100 · Adequate
graphdb: fix potential sql tx exhaustion

We should avoid taking the lock of a mutex inside transaction.
Currently we also take this lock in other places and there is a
chance that in case the application lock aquires the lock but
all transactions are already blocked waiting for the mutex to
unlock, we end up in a deadlock.
✓ Descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context
The short version

What changed, and why it matters

This commit fixes a deadlock risk in LND's channel graph database code. Previously, the code could acquire a database transaction first and then try to lock a cache mutex. Other code paths lock the cache mutex first and then take a database transaction. When two different parts of the program follow opposite lock ordering, they can get stuck waiting on each other forever (a deadlock). The fix makes both paths acquire the cache mutex before starting the database transaction, ensuring consistent ordering and preventing the deadlock. The commit title calls this 'potential sql tx exhaustion,' which suggests the deadlock could eventually exhaust available database transactions and freeze the service.

Recommended action

Treat this as a stability and availability fix. Review other graphdb code paths for the same inverted lock pattern, ensure all DB-bound cache accesses follow cacheMu-before-DB ordering, and consider adding static analysis or runtime lock-order detection to prevent regressions. No immediate cryptographic or remote exploit is evident, but operators should plan to upgrade to avoid potential node lockups.

Security signals we found

01

Deadlock / lock-order inversion between cache mutex and database transaction

02

Potential SQL transaction exhaustion as a consequence of deadlock

03

Denial-of-service vector against LND graph synchronization or gossip processing

04

Fix establishes consistent lock ordering (cacheMu -> DB)

Risk score

Why this scored 60/100

Our methodology →
Potential impact 18/30
Exploitability 8/25
Stealth signal 10/15
Affected reach 12/15
Confidence 8/10
Evidence quality 4/5
Human-validated context

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