LayerZero Breaks Silence On $290 Million KelpDAO Crypto Exploit

bitcoinistPublicado a 2026-04-20Actualizado a 2026-04-20

Resumen

LayerZero has addressed the $290 million exploit affecting KelpDAO's rsETH, asserting it was not a protocol failure but a result of KelpDAO's decision to use a single-DVN (Decentralized Verifier Network) configuration. The company claims the attack was isolated to this specific setup and confirms no contagion risk to other assets or applications. Preliminary analysis suggests the attack was executed by a sophisticated state actor, likely North Korea's Lazarus Group. The method involved poisoning RPC infrastructure used by the LayerZero Labs DVN, swapping binaries on compromised nodes, and using DDoS attacks to force traffic to the malicious infrastructure. However, LayerZero states its least-privilege principles prevented a direct compromise. The exploit was only possible due to KelpDAO's 1-of-1 verifier setup, which contradicts LayerZero's recommended multi-DVN redundancy model. A properly configured system with multiple independent DVNs would have prevented the attack. LayerZero has deprecated affected nodes, restored its DVN, and will no longer support 1/1 configurations. Aave has frozen rsETH and WETH reserves on its platforms as a precaution while confirming rsETH on Ethereum mainnet remains fully backed.

KelpDAO’s $290 million rsETH exploit has moved into a new phase, with LayerZero and Aave now publicly outlining how the incident unfolded, why the damage appears contained, and what it could mean for crypto cross-chain security standards going forward.

The central claim from LayerZero is that the exploit was not a failure of the protocol itself, but the result of KelpDAO’s decision to run rsETH with a single-DVN configuration. That matters because the latest statements shift the market narrative away from generalized contagion risk across LayerZero-integrated assets and toward a narrower question: how much risk was concentrated in one application’s security design.

LayerZero Links KelpDAO Crypto Exploit To RPC Attack

In an incident statement from April 20, LayerZero said the April 18 attack targeted KelpDAO’s rsETH setup and was “isolated entirely to KelpDAO’s rsETH configuration as a direct consequence of their single-DVN setup.” The company added that it had conducted “a comprehensive review of active integrations” and could confirm “with confidence that there is zero contagion to any other asset or application.”

LayerZero framed the episode as a state-linked crypto infrastructure attack rather than a protocol exploit. According to the statement, “preliminary indicators suggest attribution to a highly-sophisticated state actor, likely DPRK’s Lazarus Group, more specifically TraderTraitor.”

It said the attack did not compromise the protocol, key management, or the DVN instances directly. Instead, the attacker allegedly poisoned downstream RPC infrastructure used by the LayerZero Labs DVN, swapped binaries on compromised op-geth nodes, and then used DDoS pressure on uncompromised RPCs to force failover toward the poisoned infrastructure.

That sequence is central to LayerZero’s argument. “Because of our least-privilege principles, they were unable to compromise the actual DVN instances,” the company wrote. “However, they used this pivot point to execute an RPC-spoofing attack.

Their malicious node used a custom payload designed explicitly to forge a message to the DVN with minimal warnings.” LayerZero said the manipulated node presented false data only to the DVN while returning truthful responses to other IPs, including its own monitoring infrastructure, in what it described as a deliberately stealthy effort to avoid detection.

Even so, LayerZero argues the exploit should have been stopped at the application layer had rsETH not relied on a 1-of-1 verifier setup. “The affected application was rsETH, issued by KelpDAO,” the statement said. “Their OApp configuration at the time of this incident relied on a 1-of-1 DVN setup, with LayerZero Labs as the sole verifier — a configuration that directly contradicts the multi-DVN redundancy model that LayerZero has consistently recommended to all integration partners.”

It added that “a properly hardened configuration would have required consensus across multiple independent DVNs, rendering this attack ineffective even in the event of any single DVN being compromised.”

The company said its DVN is live again, that affected RPC nodes have been deprecated and replaced, and that it will no longer sign or attest messages for applications using a 1/1 configuration. It also said it is working with law enforcement and industry partners, including Seal911, to track funds.

Aave said in an X update on late The protocol said its analysis shows “rsETH on Ethereum mainnet is fully backed,” but added that “out of an abundance of caution, rsETH remains frozen across Aave V3 and V4 and exposure to the incident is capped.” WETH reserves also remain frozen across the affected markets on Ethereum, Arbitrum, Base, Mantle, and Linea while the team continues to validate information and assess possible resolutions.

At press time, the total crypto market cap stood at $2.5 trillion.

Total crypto market cap must overcome the 0.786 Fib, 1-week chart | Source: TOTAL on TradingView.com

Preguntas relacionadas

QWhat was the main reason for the $290 million KelpDAO crypto exploit according to LayerZero?

ALayerZero stated that the exploit was not a failure of its protocol but was the result of KelpDAO's decision to run its rsETH with a single-DVN (Decentralized Verifier Network) configuration, which contradicted LayerZero's recommended multi-DVN redundancy model.

QWhich sophisticated state actor is LayerZero preliminarily attributing the attack to?

ALayerZero's preliminary indicators suggest the attack is attributed to a highly-sophisticated state actor, likely the Lazarus Group from the Democratic People's Republic of Korea (DPRK), and more specifically, the subgroup known as TraderTraitor.

QHow did the attacker execute the RPC-spoofing attack without compromising the DVN instances directly?

AThe attacker poisoned downstream RPC infrastructure used by the LayerZero Labs DVN, swapped binaries on compromised op-geth nodes, and then used DDoS pressure on uncompromised RPCs to force failover toward the poisoned infrastructure, allowing them to forge a message to the DVN.

QWhat action has LayerZero taken regarding applications using a 1-of-1 DVN configuration after the incident?

ALayerZero announced that it will no longer sign or attest messages for any applications using a 1-of-1 DVN configuration, reinforcing its stance that a multi-DVN setup is necessary for security.

QWhat is the current status of rsETH on Aave V3 and V4 markets following the exploit?

AAave has stated that, out of an abundance of caution, rsETH remains frozen across its Aave V3 and V4 markets, and exposure to the incident is capped, although their analysis shows that rsETH on Ethereum mainnet is fully backed.

Lecturas Relacionadas

US Stocks Suffer Worst Plunge Since 2025: Three Triggers Ignite Tech Stock Valuation Reset

The US stock market experienced its most severe sell-off since the 2025 tariff crisis on June 5th, 2025. The Nasdaq Composite plummeted 4.18%, the S&P 500 fell 2.64%, and the Dow Jones dropped 695 points. The panic stemmed from three converging factors. First, Broadcom's earnings report ignited fears of a slowdown in AI growth. While its AI chip revenue surged 143% YoY to $10.8B, its Q3 AI revenue guidance of $16B fell short of the $17.2B consensus. This triggered a massive sector-wide sell-off, with the Philadelphia Semiconductor Index crashing 10.26% and semiconductor stocks losing roughly $1.3 trillion in market value in a single day. Second, a shockingly strong May jobs report crushed hopes for Federal Reserve rate cuts. Non-farm payrolls added 172,000 jobs, doubling expectations. This robust data, combined with persistently high oil prices above $92/barrel due to the ongoing Iran war and blockade of the Strait of Hormuz, drastically increased market expectations for a potential Fed rate hike instead of a cut. Higher interest rates compress the valuations of growth-heavy tech stocks. Third, the prolonged Iran conflict continues to fuel inflationary pressures, complicating the Fed's policy decisions and undermining the "inflation is tamed" narrative. Together, these events challenged the twin pillars of the market rally: the "limitless AI growth" story and expectations for imminent monetary easing. The sell-off spread globally, impacting Asian and European markets and cryptocurrencies. The article posits this is likely a severe "valuation repricing" rather than the end of the AI story. The underlying demand for AI remains strong, but investor expectations for growth speed and the prices they are willing to pay are being recalibrated. Key upcoming factors include the June FOMC meeting, future AI company earnings, and developments in the Iran conflict.

marsbitHace 2 hora(s)

US Stocks Suffer Worst Plunge Since 2025: Three Triggers Ignite Tech Stock Valuation Reset

marsbitHace 2 hora(s)

From Madison Square Garden to Kalshi: Prediction Markets Break into the NBA Finals

From Madison Square Garden to Kalshi: Prediction Markets Break into the NBA Finals Prediction markets are playing a significant role in the 2026 NBA Finals, particularly around the New York Knicks' unexpected 2-0 series lead. Platforms like Kalshi and Polymarket have seen massive trading volumes, exceeding hundreds of millions of dollars on championship and related markets. Their influence extends beyond online trading. Kalshi's official partnership with Madison Square Garden has given it prominent physical branding at the arena. Furthermore, local businesses like The Jeffrey bar are using prediction market contracts to hedge the risk of game-result-based promotions, turning potential losses into manageable costs—a concept similar to the famous "Mattress Mack" strategy from traditional sports betting. These markets differentiate themselves by offering a wider, more entertainment-focused range of "event contracts" beyond typical game outcomes, such as predicting celebrity attendance. They also have broader accessibility across the U.S. compared to age- and location-restricted traditional sportsbooks. However, their rapid integration into sports raises regulatory and ethical questions. The NBA is cautiously engaging, discussing integrity frameworks with regulators like the CFTC. While the league permits minor investments like Giannis Antetokounmpo's stake in Kalshi, it advocates for strict rules to prevent insider trading. Many fans express concern on platforms like Reddit, fearing that the close ties between prediction markets, the league, and players could compromise the game's integrity. The NBA Finals has thus become a high-stakes testing ground, showcasing prediction markets' commercial potential while challenging traditional boundaries between financial trading, entertainment, and gambling.

marsbitHace 4 hora(s)

From Madison Square Garden to Kalshi: Prediction Markets Break into the NBA Finals

marsbitHace 4 hora(s)

Recursive Self-Improvement AI Gains Traction, Google Pours Cold Water, While DeepSeek and Others Approach the Fringes

The term "recursive self-improvement" (RSI), where AI improves itself autonomously, is gaining momentum in the AI industry. Startups like Recursive Superintelligence and projects such as Andrej Karpathy's Auto-Research aim to create systems where AI designs, implements, and validates its own research, moving toward superintelligence. While Google CEO Sundar Pichai cautions that such exponential acceleration is not yet a reality, progress is evident. For instance, Anthropic reported its Claude Code writes nearly 100% of the team's code, though it still lacks true self-direction. Analysts frame RSI development in stages: "adequacy" (systems functioning without humans), "parity" (matching human research quality), and "supremacy" (exceeding human-AI collaboration). Reaching parity could trigger rapid, unpredictable advancement due to AI's continuous operation. In China, companies like DeepSeek and Baidu incorporate self-optimization techniques without explicitly branding them as RSI, focusing on algorithmic efficiency and reinforcement learning. However, challenges remain, including "model collapse" from training on AI-generated data and the immense computational and open-collaboration requirements. Ultimately, RSI represents a trend of increasing automation in AI development, potentially reducing human oversight in the creation process itself.

marsbitHace 4 hora(s)

Recursive Self-Improvement AI Gains Traction, Google Pours Cold Water, While DeepSeek and Others Approach the Fringes

marsbitHace 4 hora(s)

Trading

Spot
Futuros
活动图片