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CryptoMay 1, 2026· 6 min read· By MLXIO Insights Team

DeFi Sets New Hack Record as April Logs 28 Exploits with $635M Stolen

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MLXIO Intelligence

Analysis Snapshot

Updated on May 1, 2026

Introduction: Unpacking April’s Alarming Surge in DeFi Hacks

April set a new and grim record for decentralized finance (DeFi) hacks. In just one month, hackers struck 28 times and stole $635 million from DeFi protocols [Source: The Defiant]. That is more than some entire years in the early days of DeFi. The most worrying part? Hackers are not just finding holes in smart contracts anymore. Instead, they are tricking people, spoofing bridges, and using artificial intelligence to scout for weak spots. Old tools and ideas about security are not enough to stop these new attacks. The DeFi world now faces smarter and bolder enemies. It’s time to rethink how we defend these platforms—and the people who use them.

The Changing Face of DeFi Exploits: From Code Flaws to Human and AI Manipulation

If you’ve followed DeFi for a while, you know many early hacks came from bugs in code. Hackers would spot a mistake in a smart contract, then drain millions in seconds. Auditing code became a top priority, and some platforms got better at patching these holes.

But April’s crime wave shows the rules are changing. This time, social engineering and bridge spoofing did the most damage. Social engineering means the attacker tricks a person instead of a computer. For example, a hacker might pose as a trusted developer on Discord and ask for a password. Or they might send a fake email that looks real, hoping someone clicks a bad link. Bridge spoofing is just as sneaky. It lets attackers fake cross-chain transactions, which can fool both users and other blockchains into sending funds to the wrong place.

What’s really new is how hackers use AI tools to help with their attacks. AI can scan social media for team members to target. It can write emails that sound personal. It can even help plan attacks by finding patterns in how users and admins behave. Instead of just looking for bugs, attackers now look for weak people and weak processes.

This is a big switch from the old days. Before, most hacks were about breaking code. Now, they are about breaking trust and tricking people. It’s like moving from picking locks to running a con. And while code can be fixed, people are harder to patch.

Why Traditional Security Measures Are Failing DeFi Platforms

DeFi teams used to believe a good smart contract audit was enough. If the code got a passing grade, users felt safe. Some platforms even hired firms to “certify” their contracts, posting shiny badges on their websites. Automated tools checked for known bugs and risky patterns. For a while, this worked. Big hacks became less common, and the industry relaxed.

But the April attacks show the limits of this old approach. Audits and scanners can find code bugs, but they cannot spot a fake message to a team member. They will not warn you if a staffer gets phished or an admin shares a password by accident. Social engineering attacks slip right by the usual defenses. AI-driven scouting makes things worse. Hackers can now automate their search for weak links, running thousands of tests and bait messages in minutes.

DeFi platforms are also fast-moving and often run by small teams. They may not have strong internal rules or training. One careless click can undo months of careful coding. And when hackers use AI to look for mistakes, they only need to get lucky once.

By focusing only on code checks, the industry has left other doors wide open. Security is about more than just good code. It’s about how people work together, how decisions are made, and how teams spot when something feels off. Relying on old tools and audits is like locking the front door but leaving the window wide open.

The Human Factor: Strengthening Social Engineering Defenses in DeFi

People are often the weakest link in any security chain. In DeFi, where billions can move with a single click, one mistake can be very costly. Teams need to treat social engineering as a real and growing risk. That means getting serious about training, not just for developers but for everyone—from founders to community mods.

First, internal rules should be clear and simple. Never share passwords or seed phrases by chat or email. Use two-factor authentication on all accounts. Confirm big changes with a second person, in person if possible. These steps sound basic, but most social engineering attacks work because someone skips them.

Next, teams should run regular “phishing drills” to see who falls for fake messages. It’s better to catch these mistakes during a test than during a real attack. Sharing stories of past attacks—like how North Korean groups have targeted crypto teams with fake job offers—can help drive the lesson home.

Continuous education is key. Hackers change tactics all the time. Teams should update their defenses and talk openly about new risks. Some companies now hire “red teams” to simulate attacks and spot weak points. The more teams practice, the less likely they are to get caught off guard.

Harnessing AI Responsibly: Balancing Innovation and Security in DeFi

AI tools are not just for hackers. They can help defenders too, if used the right way. For example, AI can scan for signs of phishing in real time or spot strange behavior in admin accounts. It can flag when someone tries to rush a big withdrawal or change a smart contract without approval.

But there is a catch. AI is a double-edged sword. Attackers use it to target weak links; defenders need to stay one step ahead. That means investing in AI-powered security tools that keep learning, not just static rules or “one and done” audits. Teams should build systems that watch for both technical threats and strange human behavior.

At the same time, DeFi projects should not get lazy. It is tempting to trust new tech to fix all problems, but AI is only as smart as the people who use it. Attackers are getting better, too—they follow the news, share tools on dark forums, and update their methods quickly.

The best defense is a mix of smart tools and smart people. Teams who use AI to watch for threats, but also keep practicing good habits, will be harder to trick or hack. Everyone else will stay at risk.

Conclusion: Urgent Call for a Holistic Security Paradigm in Decentralized Finance

April’s record-setting attacks are a wake-up call for DeFi. The old way—just checking code—no longer works. Now, hackers use new tricks, target people, and let AI do the heavy lifting [Source: The Defiant]. The only way forward is a security plan that covers all bases: strong code, smart people, and tools that keep learning.

DeFi teams need to act before the next big attack. That means training staff, running drills, upgrading tools, and always watching for new threats. The ecosystem is only as strong as its weakest link. If the industry adapts fast, it can stay ahead of attackers and keep building trust. If not, the next record may come even sooner—and cost even more. The time to upgrade DeFi security is now.


⚠️ Disclaimer: This article is for informational purposes only and does not constitute financial advice. Always do your own research before making investment decisions.

Why It Matters

  • DeFi platforms lost a record $635 million to hackers in April alone, showing rising risks for users.
  • Attackers are shifting from exploiting code to using social engineering and AI, making defenses harder.
  • The surge highlights urgent need for new security strategies beyond traditional code audits in DeFi.

DeFi Hacks in April 2024: Incidents and Value Stolen

Number of Exploits
M$28
Total Value Stolen
M$635

Disclaimer: Content on MLXIO is produced using AI-assisted research, drafting, and verification workflows and is intended for informational and educational purposes only. It does not constitute financial, investment, legal, tax, medical, or professional advice of any kind. All analysis reflects available information at the time of publication and may not be current. Verify information independently and consult qualified professionals before making decisions. Editorial policy

MLXIO

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MLXIO Insights Team

Algorithmic Research & Human Oversight

Powered by advanced algorithmic research and perfected by human oversight. The Insights Team delivers highly structured, cross-verified analysis on emerging tech trends and digital shifts, filtering out the fluff to give you high-fidelity value.

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