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Moderate 51 Bitcoin

lnpeer: add some rate-limiting against ping flood

Public commit record

What the developer wrote

Authored by SomberNight

68/100 · Adequate
lnpeer: add some rate-limiting against ping flood

A remote peer could send us lots of small ping messages, requesting large pong responses. This is cheap for them but potentially expensive for us.
Does not seem too serious, but I think we could add some rate-limiting.

note: There are many ways for a remote peer to inflate our incoming traffic usage,
but the cost of that is usually shared between them and us (they need to send the data, we receive it).
✓ Descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context
The short version

What changed, and why it matters

This change adds a simple speed bump to stop a connected Lightning peer from bombarding an Electrum node with tiny 'ping' messages that force the node to send back large 'pong' replies. Before the patch, a peer could send pings as fast as the network allowed, making Electrum waste bandwidth and CPU generating replies. After the patch, Electrum waits at least one second between handling pings from the same peer, slowing any abuse to a trickle. The commit author notes this is not considered a serious issue.

Recommended action

Apply the patch. Monitor whether 1 second per peer is sufficient for your threat model, and consider whether inbound message flooding via odd message types also needs mitigation if you operate public or high-value Lightning nodes.

Security signals we found

01

Rate-limiting added to prevent ping-flood amplification

02

Asymmetric bandwidth attack: small inbound ping triggers large outbound pong

03

Per-peer state introduced to throttle message handler

04

Handler made async to allow non-blocking sleep within message loop

05

Commit message frames issue as a hardening measure, not a serious vulnerability

Risk score

Why this scored 51/100

Our methodology →
Potential impact 8/30
Exploitability 12/25
Stealth signal 10/15
Affected reach 10/15
Confidence 7/10
Evidence quality 4/5
Human-validated context

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