Top Audit Expert Warns: All DeFi is Unsafe, Withdraw Now!

marsbit2026-05-28 tarihinde yayınlandı2026-05-28 tarihinde güncellendi

Özet

A leading DeFi security expert has issued a stark warning: all DeFi is now unsafe. Manuel Aráoz, founder of major security audit firm OpenZeppelin, stated on X that he is advising friends and family to withdraw funds from major protocols like Aave, MakerDAO, and Compound. The core reason for this drastic shift is the rise of AI. Aráoz argues that AI-powered coding agents can now identify and exploit smart contract vulnerabilities at an exponentially faster rate. This turns DeFi's transparency into a liability, providing a vast training dataset for attackers. The fundamental asymmetry of security—where defenders must patch every flaw, but attackers need only find one—is being catastrophically unbalanced by AI. Recent months provide chilling evidence. April saw massive exploits, including a $280 million loss at Drift Protocol and a $292 million theft from Kelp DAO. The trend continued into May with multiple high-value attacks on protocols like THORChain, Verus, Echo Protocol, and StakeDAO, demonstrating vulnerabilities across both on-chain code and off-chain management. AI acts as a force multiplier for hackers, enabling near-instantaneous vulnerability scanning, automated exploit script generation, and sophisticated social engineering. The recent development of ultra-powerful AI models like Anthropic's Mythos—so advanced its public release was delayed over security fears—signals even greater threats ahead. The article concludes that the risk-reward calculus for DeFi partic...

Original | Odaily Planet Daily(@OdailyChina)

Author | Azuma(@azuma_eth)

“I believe all DeFi is now unsafe.”

This assertion left by OpenZeppelin founder Manuel Aráoz on X yesterday, like a depth charge, once again rocked the already stagnant DeFi market.

Manuel even stated that he has started advising friends and family to withdraw funds from major DeFi protocols, including blue-chip protocols like Aave, MakerDAO, and Compound, which were once considered low-risk.

This is not alarmism from an outsider. On the contrary, Manuel himself is one of the core builders of the DeFi security system, and OpenZeppelin is one of the industry's most mainstream security auditing firms. Its contract libraries, security standards, and audit frameworks have permeated nearly the entire DeFi world.

The reason for Manuel's complete shift in attitude lies in AI. Manuel pessimistically believes that the ability of AI Coding Agents to identify and exploit smart contract vulnerabilities is increasing exponentially.

This means that issues which previously required top-tier white-hat teams weeks to discover might now be scanned by AI in minutes; where hackers once needed long-term study of protocol logic, attack paths can now be analyzed automatically by AI; the "open and transparent" nature of DeFi, once an advantage, has now become the best training corpus for attackers.

Manuel also raised a more fatal problem: Smart contract security is essentially an extremely asymmetric game — the defense must patch all vulnerabilities, while the attacker only needs to find one to steal funds. As AI begins to exponentially enhance attack efficiency, this asymmetry is rapidly becoming unbalanced.

The Cold Reality: DeFi Has Become a Cash Cow for Hackers

Looking back at DeFi security incidents over the past few months, you'll find that Manuel's concerns are not exaggerated.

April was almost the worst month in DeFi's history.

  • On April 1st, April Fool's Day, Drift Protocol lost $280 million due to manager privilege hijacking and multi-signature execution vulnerabilities (details in "An April Fool's Joke? Drift Protocol Hacked for Over $280M, Potentially Becoming Solana Ecosystem's Second-Largest DeFi Heist").
  • Subsequently, on April 19th, Kelp DAO lost $292 million due to a bridge protocol breach (details in "DeFi Hacked Again for $292M, Is Even Aave Unsafe Now?"). The hacker later escaped via lending protocols like Aave, casting the shadow of bad debt and its cascading effects over the entire DeFi sector.

Entering May, incidents not only didn't decrease but further proliferated.

  • On May 15th, THORChain was attacked. A newly joined node operator exploited a vulnerability in the GG20 Threshold Signature Scheme (TSS), reconstructed the vault private key, and directly executed outbound transactions, causing over $10 million in losses.
  • On May 18th, Verus's bridge protocol was attacked. The attacker forged cross-chain import payloads, bypassed verification to extract assets from the Ethereum reserve, stealing approximately $11.58 million.
  • On May 19th, Echo Protocol on Monad was attacked due to a private key leak. The attacker minted 1,000 eBTC (worth $76.7 million) and extracted funds via Curvance using a previously tested attack path.
  • On May 24th, StablR, a compliant stablecoin issuer under the MiCA regulatory framework, was attacked. The hacker profited over $2.8 million by minting EURR and USDR, causing EURR and USDR to depeg.
  • On May 25th, the SquidRouter module was attacked, resulting in approximately $3 million in assets stolen from 86 Gnosis Safe wallets.
  • On May 27th, the StakeDAO deployer private key was leaked on Arbitrum. The attacker minted about 5.45 trillion vsdCRV and exchanged part of it for 43.7 ETH to escape.

The frequently occurring security incidents have sounded the alarm. DeFi seems to be collapsing across the board, from on-chain code to off-chain management.

AI Has Become the Hackers' Nuclear Weapon

Why has the DeFi offense-defense dynamic suddenly accelerated towards collapse this summer? Beyond the evolution of traditional hacking techniques, the rapid advancement of AI large language models is becoming the ultimate factor tipping the balance.

In the past, finding a complex smart contract vulnerability (especially those involving cross-chain, multi-layer nesting, or extremely hidden reentrancy logic) required top hackers weeks or even months of code review. However, with the maturity of AI agents possessing ultra-long context, strong logical reasoning, and autonomous tool-calling capabilities, this has changed fundamentally.

  • Second-Level Scanning and Global "Zero-Day" Vulnerability Mining: Attackers only need to feed the open-source codebase to the new generation of AI reasoning models. The AI can, within seconds, deduce hundreds of extreme interaction scenarios like a seasoned security expert, accurately pinpointing edge cases missed by human auditors during fatigue.
  • Automated Attack Script Generation: AI can not only discover vulnerabilities but also automatically write, test, and deploy the "hacker smart contracts" used to extract funds.
  • Perfect Orchestration of Off-Chain DevOps and Social Engineering: AI can impersonate perfect developers for phishing or monitor DeFi teams' GitHub commit logs around the clock. Once a team uploads code containing sensitive information or unverified fixes, the AI will launch an attack within seconds—far faster than any human security team's response time.

In this security warfare augmented by AI, hackers, armed with AI, possess nearly infinite ammunition and second-level attack speed. DeFi, however, is constrained by slow-paced governance voting, multi-signature confirmations, and lagging security audits, making it difficult to mount a corresponding defensive response.

Last month, Anthropic, the AI development company behind Claude, officially announced its next-generation model, Mythos (details in "Anthropic Creates the Most Powerful AI Model Ever, But Dares Not Release It..."). This is the first model in human history to break the hundred-trillion parameter threshold (in contrast, mainstream models currently range from hundreds of billions to one trillion parameters), with a staggering training cost of $10 billion.

However, due to Mythos's specialized capabilities in cybersecurity (Anthropic disclosed that using Mythos, they identified thousands of zero-day vulnerabilities in just a few weeks), Anthropic even dares not publicly release the model directly, for fear of malicious use by hacking groups. Instead, they plan to first allow leading large companies to test and preemptively patch potential vulnerabilities through a "Glasswing" initiative.

With the DeFi security situation already so severe at this stage, it's hard to imagine what new threats the industry's security defenses will face once Mythos is publicly released.

The Biggest Problem: Risk-Reward Ratio Has Long Been Unbalanced

For ordinary DeFi participants, liquidity providers (LPs), and whales, the most important question now is to sit down and calculate.

For a long time, the reason users chose to deposit funds into DeFi was to pursue annualized yields several times higher than those in traditional finance. During bull markets or the frenzy of liquidity mining, yields of 10%, 20%, or even higher were enough to cover people's psychological expectations for "potential technical risks."

But today, this underlying logic has long been shaken and even overturned. The risk-reward ratio of DeFi is already unbalanced. On the reward side, as the market enters a game of limited players and safety margins thicken, the real yields of most mainstream, relatively reliable DeFi protocols have fallen back to single-digit ranges. On the risk side, users' principal is exposed to a black box that could be breached by AI at any moment and emptied by a flash loan in an instant. Once a protocol is hacked, token prices plummeting to zero and liquidity pools being drained often happen within minutes, with no legal recourse, insurance, or central bank to provide coverage.

The risk of losing 100% of principal to chase roughly 5% annualized yield is clearly not a good deal.

Manuel's words may be somewhat absolute, but they tear off DeFi's last fig leaf. In the face of the reality where hackers have made AI a conventional weapon and security incidents continue to erupt in the industry, if you are not prepared for the psychological expectation of losing 100% of your principal for a certain yield, then "withdrawing funds as soon as possible and realizing profits" might be the most rational and risk-control-principled choice in the current market cycle.

İlgili Sorular

QAccording to the article, what is the main reason Manuel Aráoz gives for his statement that all DeFi is unsafe?

AThe main reason is the exponential enhancement of AI Coding Agents in identifying and exploiting vulnerabilities in smart contracts, making it easier and faster for attackers to find and exploit flaws.

QWhat does the article highlight as the fundamental asymmetry in smart contract security?

AThe fundamental asymmetry is that defenders must fix all vulnerabilities to be secure, while attackers only need to find a single vulnerability to steal funds.

QWhy is the AI model 'Mythos' from Anthropic mentioned as a particular concern in the context of DeFi security?

AMythos is a concern because it has demonstrated a powerful specialization in cybersecurity, being able to identify thousands of zero-day vulnerabilities in a short time, which could be weaponized by hackers if publicly released.

QWhat is the article's conclusion about the risk-reward ratio for users participating in DeFi protocols currently?

AThe article concludes that the risk-reward ratio is imbalanced. The potential risk of losing 100% of principal now outweighs the relatively low single-digit percentage annual yields offered by many protocols.

QWhich two major DeFi protocols were specifically mentioned as examples from which Manuel Aráoz is advising friends and family to withdraw funds?

AAave and Compound were specifically mentioned as examples of previously considered low-risk blue-chip protocols from which he advises withdrawal.

İlgili Okumalar

A Nation Blocks Chips, a Giant Buys a Nuclear Power Plant: Why It's Time to Seriously Consider DeAI

**Title: Great Powers Blockade Chips, Giants Buy Nuclear Plants: Why It's Time to Seriously Consider DeAI** In May 2026, the US closed loopholes for Chinese firms to acquire advanced NVIDIA chips via overseas subsidiaries. That same month, Kenya halted a $1B geothermal data center project involving Microsoft, fearing its immense energy consumption. Meanwhile, Huawei announced mass production of its Ascend AI chip. These disparate events underscore a new reality: the competition for computing power ("compute") has escalated beyond the tech industry, becoming a geopolitical and infrastructural battleground. A new era of oligopoly is forming, with control over the AI stack—from GPU chips (NVIDIA) and cloud platforms (AWS, Azure, Google Cloud) to foundational models (OpenAI, Anthropic)—concentrating in a few Western "AI Octopus" corporations. This centralization creates systemic risks: pricing power and platform lock-in for users, infrastructure fragility, and a widening "compute divide" that threatens to marginalize nations without independent AI capacity. An "AI Iron Curtain" is deepening through export controls. In response, some nations like Saudi Arabia and the UAE are investing heavily to buy compute power, aiming to transition from oil to AI economies. The EU seeks to triple its compute capacity by 2030 to reduce dependency. However, the spending gap is vast, with four US tech giants alone planning ~$750B in AI capex for 2026. The race is increasingly constrained by energy, with AI tasks consuming up to 1000x more power than web searches, pushing firms to even acquire nuclear plants. This landscape is fueling interest in Decentralized AI (DeAI). It proposes a third way: using open protocols to coordinate a global network of idle GPUs, independent developers, and data centers, creating an AI infrastructure without a single controlling entity. Leveraging blockchain and cryptographic verification, DeAI aims to break market concentration, disperse energy demands, reduce geopolitical dependencies, and enhance transparency. While still nascent in performance and stability, DeAI's core promise is not immediate superiority but providing a crucial alternative architecture to resist monopoly, censorship, and centralized power. As specialized AI hardware costs fall and open-source models flourish, the window to build this foundation is open. The very existence of such competition serves as a vital check against the inevitable abuse of concentrated power.

marsbit11 dk önce

A Nation Blocks Chips, a Giant Buys a Nuclear Power Plant: Why It's Time to Seriously Consider DeAI

marsbit11 dk önce

Outpoll Review: A Prediction Market Platform Built for Active Traders

Outpoll Review: A Prediction Market Platform Built for Active Traders In recent years, prediction markets have grown from a niche sector to a mainstream arena, attracting billions in trading volume and institutional capital. However, the user experience and tools for traders have not kept pace. Outpoll, a new global prediction market platform, aims to fill this gap by providing enhanced trading infrastructure for active and professional traders. Built on standard prediction market principles, Outpoll allows users to trade on the outcome of specific events. It uses fully collateralized contracts with USDC settlement, charges a competitive 0.1% fee per trade, and provides clear settlement rules upfront to minimize disputes. A key focus for Outpoll is its professional-grade trading tools. The platform supports limit and market orders, as well as take-profit and stop-loss orders for open positions—features uncommon in prediction markets. For automated trading, Outpoll offers comprehensive REST and WebSocket APIs, enabling portfolio management, price arbitrage, and integration with existing tools. The platform also features a creator-led market model, where approved experts and community leaders can create and manage markets for niche topics under platform supervision. Its integrated interface combines news feeds directly with trading functions, allowing users to monitor events and manage positions seamlessly. Outpoll launched with a native Android app (available on Google Play) and plans an iOS version later this year. In summary, Outpoll distinguishes itself with trader-focused tools, practical APIs, transparent and collateralized markets, integrated news, and an expanding creator program. For active traders, its advanced order types and API access alone make it a platform worth watching. Outpoll is now globally accessible via outpoll.com and Google Play.

marsbit20 dk önce

Outpoll Review: A Prediction Market Platform Built for Active Traders

marsbit20 dk önce

Bitwise: Crypto Becomes a Contrarian Investment, Three Logics to Understand the Current Market

**Summary** Matt Hougan, Bitwise's CIO, analyzes the current crypto market through three key lenses, arguing it has shifted from a momentum-driven to a contrarian investment. **1) Crypto Becomes a Contrarian Play:** The market is weak, with major assets like Bitcoin and Ethereum down significantly. Capital has moved to hot sectors like AI, leaving crypto as an "unloved" asset class. This transforms crypto investing from trend-following to a test of patience and fundamental analysis. Investors now favor projects with solid fundamentals (e.g., Hyperliquid) over speculative ones. **2) Regulatory Overhang:** The uncertain fate of the U.S. CLARITY Act, a major crypto regulatory framework, is a key headwind. With its passage in 2024 seen as far from guaranteed (estimates range from 30-55%), institutional capital remains on the sidelines, choosing less risky alternatives like AI stocks. The market needs clarity—whether the bill passes or fails—more than any specific outcome to move decisively. **3) Capital Rotates to New Fundamentals:** This cycle differs from past bear markets where money fled to Bitcoin. Now, capital seeks smaller assets with strong use cases. While major cryptos fell in May 2024, tokens like Hyperliquid (+72%), Zcash (+50%), and XLM (+44%) rallied on their specific fundamentals. This rotation confirms the new contrarian, fundamentals-driven logic and signals the bear market may be in its later stages. **Conclusion:** Short-term pressure persists due to regulatory uncertainty and competition from AI narratives. Investing in crypto now requires a contrarian mindset—acting against the crowd and focusing on fundamental value. Patience and targeting high-quality projects based on their merits are essential for capturing long-term gains.

marsbit1 saat önce

Bitwise: Crypto Becomes a Contrarian Investment, Three Logics to Understand the Current Market

marsbit1 saat önce

ChatGPT Might Be Disappearing Soon

OpenAI announced at its "Intelligence at Work" event that its coding assistant, Codex, will be fully integrated into the ChatGPT app within weeks. This move marks a strategic shift from a conversational AI (Chat) towards a unified "agentic" platform capable of execution. Codex, originally launched to compete with Anthropic's Claude Code, has grown rapidly to 5 million weekly active users, with 20% being non-developers like analysts and designers. Its enterprise revenue now constitutes 40% of OpenAI's total. The integration is the first step in creating a super-app combining ChatGPT (interface), Codex (execution engine), and the Atlas browser (web access). OpenAI also unveiled new Codex features: specialized Agent plugins for six professional roles, an "Annotations" tool for direct document editing, and a "Sites" function to turn work into shareable web apps. Internally, this reflects a power shift; the Codex team now leads core product strategy. While the ChatGPT brand remains for its vast user base, the platform's future is focused on autonomous agents that perform tasks, not just chat. The article notes that competition with Claude Code pushed OpenAI's development, with Codex competing on cost-effectiveness and accessibility rather than raw coding quality. It concludes that the essence of "ChatGPT" is evolving from a chatbot into an AI agent platform, with the name potentially becoming a legacy symbol of its original function.

marsbit1 saat önce

ChatGPT Might Be Disappearing Soon

marsbit1 saat önce

İşlemler

Spot
Futures
活动图片