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Moderate 53 Bitcoin

net_processing: drop MaybePunishNodeForTx

Public commit record

What the developer wrote

Authored by Anthony Towns

70/100 · Adequate
net_processing: drop MaybePunishNodeForTx

Do not discourage nodes even when they send us consensus invalid
transactions.

Because we do not discourage nodes for transactions we consider
non-standard, we don't get any DoS protection from this check in
adversarial scenarios, so remove the check entirely both to simplify the
code and reduce the risk of splitting the network due to changes in tx
relay policy.
✓ Descriptive subject✓ Provides detailed explanatory context✓ Explains rationale or failure mode
The short version

What changed, and why it matters

This Bitcoin Core change removes the automatic disconnection and blacklisting of peers that send transactions considered invalid under network-wide consensus rules. Previously, sending certain consensus-invalid transactions would cause a peer to be 'misbehaved' and potentially disconnected. Now, such transactions are rejected but the peer stays connected. The stated goal is to avoid accidentally splitting the network if relay rules change, and because the protection was already ineffective against determined attackers.

Recommended action

Monitor network for increased invalid-transaction spam; evaluate whether additional rate-limiting or resource-bound protections are needed now that consensus-invalid txs no longer contribute to peer misbehavior scoring. No immediate patch is required because the change is intentional.

Security signals we found

01

Removal of peer punishment for consensus-invalid transactions

02

Network-partitioning risk cited as motivation in commit message

03

DoS protection considered ineffective because non-standard transactions already bypass punishment

04

Functional tests updated to expect no disconnect for previously disconnecting invalid tx cases

Risk score

Why this scored 53/100

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

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