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Informational 21 Bitcoin

common: increase jsonrpc_io buffer size temporarily to aggrevate perf issues.

Public commit record

What the developer wrote

Authored by Rusty Russell

83/100 · Strong
common: increase jsonrpc_io buffer size temporarily to aggrevate perf issues.

A client can do this by sending a large request, so this allows us to see what
happens if they do that, even though 1MB (2MB buffer) is more than we need.

This drives our performance through the floor: see next patch which gets
us back on track.

tests/test_coinmoves.py::test_generate_coinmoves (2,000,000, sqlite3):
Time (from start to end of l2 node): 271 seconds **WAS 135**
Worst latency: 105 seconds **WAS 12.1**

Signed-off-by: Rusty Russell <rusty@rustcorp.com.au>
✓ 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 is a temporary debugging change that increases an internal buffer size from 2 KB to 1 MB. The author explicitly states it is meant to expose and measure performance problems caused by large JSON-RPC requests, not to fix a security bug. By itself, it makes the node slower when handling big requests, but it does not introduce a clear vulnerability such as a crash or memory corruption.

Recommended action

Treat this commit as a temporary instrumentation change rather than a security patch. Review the follow-up commit referenced in the message to confirm performance and resource-usage regressions are resolved before any release. If this commit were to remain in a release branch, consider adding request-size limits or backpressure to prevent unbounded memory growth from many concurrent large JSON-RPC requests.

Security signals we found

01

Large buffer increase in network-facing JSON-RPC I/O path

02

Author acknowledges performance degradation under large client requests

03

No bounds checking, quota, or rate-limit changes accompany the buffer increase

04

Commit is explicitly described as temporary and diagnostic

Risk score

Why this scored 21/100

Our methodology →
Potential impact 2/30
Exploitability 3/25
Stealth signal 2/15
Affected reach 4/15
Confidence 7/10
Evidence quality 3/5
Human-validated context

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