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Ripple architect says XRPL can go underground if states attack

Crypto
Last updated: June 1, 2026 1:08 am
Crypto
Published: June 1, 2026
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Ripple architect says XRPL can go underground if states attack

Ripple CTO Emeritus David Schwartz has outlined how the XRP Ledger could respond if a state-level attack targeted validators, node operators or core network infrastructure. Summary David Schwartz said XRPL could adapt if state pressure targeted validators or network operators. The plan points to Tor, I2P and reserve nodes as possible tools during extreme attacks. The debate follows recent XRPL upgrade, validator and decentralization discussions across the ecosystem. Schwartz made the comments during a discussion about whether a blockchain can survive pressure from an authoritarian state. The question focused on what would happen if authorities started raiding nodes or forcing operators offline. I don’t think that would be very effective unless they could make it so that nobody was brave enough to run a validator. Operators would just be replaced. Validators could become anonymous and operate over tor. But it would certainly be disruptive.If that actually did happen,…— David ‘JoelKatz’ Schwartz (@JoelKatz) May 31, 2026 He said intelligence services could create short-term disruption. However, he argued that long-term control would be harder because the XRP Ledger software, validator set and network structure can change when needed. The idea has been described as a “Doomsday” approach for XRPL. It would not be a normal operating mode. Instead, it would act as an emergency path if the network faced direct physical or legal attacks. Schwartz’s position centers on one point: a public blockchain can change its rules if users, developers and operators agree that survival requires it. Tor and I2P enter XRPL discussion The proposed emergency setup would use privacy networks such as Tor and I2P to hide parts of XRPL’s consensus coordination. These tools could make it harder for authorities to identify and target operators. In that model, high-performance nodes would continue to process transactions. If attackers seized or disabled some nodes, reserve infrastructure could replace them. A second, lighter layer would help manage trusted validator lists. That layer would operate only when needed and could use anonymous routing to reduce exposure. The goal would be to keep consensus alive while lowering the chance that one government could identify all key participants at once. XRPL validator design remains the core issue XRPL uses a Unique Node List model. Each server follows validators it trusts not to collude. This differs from proof-of-work and proof-of-stake systems, where mining power or token stake often drives network security. As previously reported by crypto.news, Schwartz recently said XRPL has more events that are “technically hard forks” than many older public blockchains. He linked that pattern to the network’s upgrade model and its use of smart transactors. Separate coverage also detailed XRPL’s Negative UNL tool. That mechanism allows the network to keep operating when trusted validators go offline or fail to perform properly. Those features matter in the current debate because Schwartz’s emergency scenario depends on XRPL being able to replace or ignore damaged infrastructure without halting the network. Governance debate grows around XRP The comments come as XRPL continues to update its infrastructure. The recent 3.1.3 upgrade included fixes for NFTs, Permissioned Domains, Vaults and the Lending Protocol. Schwartz has also addressed asset-control questions around Ripple’s RLUSD stablecoin. As reported by crypto.news, he said RLUSD can support settlement use cases but is not neutral because Ripple can freeze and claw back tokens under legal direction. That contrast adds context to the XRPL discussion. XRP itself does not rely on an issuer that can freeze balances in the same way as a stablecoin. However, XRPL still depends on software, validators and user agreement. Schwartz’s “Doomsday” comments do not mean XRPL faces an active state attack. They show how one of its key architects thinks the network could react under extreme pressure.

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