Attack Chain

1. Attacker dials a victim node and opens a gossipsub stream.
2. The attacker’s initial score is 0, which is greater than the default gossipThreshold of -10, allowing subscriptions to be processed immediately without score checks.
3. The attacker constructs a malicious RPC message containing 349,525 SUBSCRIBE entries, each with a unique 6-character topic string. The total encoded size of this RPC is approximately 4MB.
4. The victim’s handleReceivedRpc processes the RPC and iterates through each subscription entry, calling handleReceivedSubscription for each unique topic.
5. handleReceivedSubscription adds each new topic to the this.topics map without any limits or per-peer count restrictions, leading to uncontrolled memory allocation.
6. The victim’s this.topics map grows by 349,525 entries, consuming approximately 89MB of heap space and blocking the event loop for approximately 224ms.
7. The attacker reconnects and repeats the process, sending additional RPCs with unique topic subscriptions. No score decay or penalties are applied.
8. After approximately 17 rounds, the Node.js process exhausts its 1.5GB heap limit, resulting in an Out-Of-Memory (OOM) crash, causing a denial-of-service.

Impact

Successful exploitation of this vulnerability leads to a denial-of-service condition, as the target Node.js process crashes due to memory exhaustion. The attack requires only approximately 68MB of total attacker bandwidth, achievable in approximately 5 seconds at 100Mbps. The vulnerability affects any gossipsub node running with default options, making it a widespread risk. The memory leak in removePeer also contributes to long-term performance degradation as this.topics accumulates entries.

Recommendation

• Apply patches to @libp2p/gossipsub to limit the number of subscriptions accepted per RPC and implement per-peer topic count limits.
• Implement a mechanism to remove empty Sets from this.topics in the removePeer function to prevent memory leaks, mitigating defect 3.
• Deploy the Sigma rule “Detect High Topic Count in Gossipsub Subscriptions” to identify and potentially block malicious subscription floods.
• Monitor Node.js process memory usage and restart gossipsub nodes exceeding a defined memory threshold to mitigate the impact of memory exhaustion.
• Review and adjust the default gossipThreshold to require higher scores for subscription processing, potentially mitigating step 2 of the attack chain.