Highlights:
Solana experienced a continuous spike in malicious network traffic for over a week. Network monitoring statistics indicated a steady increase in traffic volumes, which peaked at approximately six terabits per second. The size and length of the surge attracted attention in the crypto industry. Nevertheless, the network remained online without apparent interference.
During the period, blocks proceeded to generate on time. Slot timing also showed no sustained deviation from normal ranges. The speed of transaction confirmations remained rapid, with a majority taking less than one second. Validators stayed online and continued to participate regularly throughout the network.
Decentralized apps also kept running as users engaged with services. Wallet activity exchanges and protocols showed uninterrupted access during the surge. Network data sources did not flag congestion-related failures. Observers focused on measured performance rather than interpretation or evaluation. The data reflected continued functionality under prolonged load.
Public blockchains do not often have to deal with traffic rates similar to large internet applications. In this instance, surveillance graphs revealed that Solana was managing traffic volumes that were only prevalent in centralized infrastructure. Analysts have observed that such incidents are uncommon with decentralized networks. No performance degradation appeared in available metrics.
Traffic data classified the event as the fourth-largest DDoS Attack recorded across distributed systems. Comparative charts placed Solana alongside historic attacks on Google Cloud, AWS, Microsoft Azure, and Cloudflare. Those incidents ranged from just over two terabits per second to more than forty terabits per second. The integration of Solana was a rare exception with a public blockchain.
DDoS attacks are intended to flood networks with unnecessary traffic. Attackers usually make use of big botnets that make concurrent requests. The common aim is to slow down systems or cause outages. These attacks do not usually target data theft. Instead, they focus on exhausting network resources.
The timing of the incident drew further attention across the sector. A similar traffic event affected the Sui network one day earlier. That incident caused delayed block production and periods of reduced performance. In contrast, Solana maintained normal operations during its surge. The difference highlighted how traffic events can affect networks differently.
Past blockchain incidents also provide context. Cardano experienced an attempted traffic attack last year. The Manta network faced a similar event following its token listings. Those incidents resulted in varying degrees of disruption. The Solana event added another data point to that history.
The traffic incident occurred during a period of broader market pressure for Solana. Glassnode data shows the network’s thirty-day realized profit-to-loss ratio has remained below one since mid-November. That metric indicates traders have realized losses more often than gains. Such conditions often reflect reduced market participation.
Analysts at Altcoin Vector described the period as a liquidity reset phase. They use the term to describe contraction periods before stabilization. The characterization relied on observed on-chain data. Analysts avoided forecasts or directional claims. Similar phases have appeared during earlier market cycles.
Infrastructure activity has also continued alongside market stress. Web3 infrastructure provider Alchemy recently rebuilt its Solana stack from the ground up. The company said the effort aimed to reduce downtime and improve reliability. Alchemy framed the changes as preparation for sustained usage. The update added infrastructure context to the broader network environment.
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