The most misleading phrase in crypto security may also be the most familiar.
A smart contract can be executed exactly as written and still be part of the theft. If you’re wondering how, have you ever considered that the code may never be the part that breaks?
We blame smart contracts (code), but the real vulnerability is the people running the project. Attackers can’t find shiny math flaws; They trick the founder into clicking a bad link, steal his computer’s access keys, and modify the application from the inside. But when funds move on-chain, these failures are often lumped into the same headline category. Yes, you guessed it right – A DeFi hack!
This is the diagnostic problem.
Smart contract bug, bridge signature compromise, oracle bug, governance abuse path and stolen private key do not explain the same wound. When the fault is named incorrectly, the fix starts in the wrong place.
Ethereal Ventures recently framed this as a control plane issue – Not just the protocol logic itself, but the security of the systems around the protocol. AMBCrypto takes this argument from a narrower angle. In fact, the industry needs to properly name the failure before discussing the fix.
Of course, the data makes mislabeling difficult to ignore. For example, Halborn found this In 2024, off-chain events accounted for 56.5% of attacks and 80.5% of stolen funds.
Chain analysis was also found It is stated that the largest share of stolen cryptocurrencies in 2024 is due to private key risks.
So the troubling question is simple: Is “better code” enough when the attacker’s best bet is to steal the key that tells the code what to do?
If most losses are due to off-chain vulnerabilities, why does the industry continue to call every major incident a DeFi attack?
Title is not a diagnosis
“DeFi hack” serves as a headline because it is short. It fails as a diagnosis because it obscures what is actually broken.
Ritesh Kakkad, Co-Founder of XDC Network, put it clearly:
The term DeFi hack has done a lot of damage. Not that it’s wrong, but whenever something breaks we use it as a point instead of a starting point. Ronin and Nomad both filed under the same label but these were trust architecture failures, nothing to do with contract quality.
This distinction is important.
So what actually broke?
A stolen private key, bridge verification failure, a poisoned interface, and corrupted protocol logic can result in funds moving on-chain. But they start in different places.
This brings us to the point where knowledge of the application plane and control plane helps.
The application plane is where users touch and includes exchanges, lending markets, vaults, transfers and bridging activities. The control plane is what gives the system the authority to act: admin keys, signers, escalation paths, bridge validators, oracles, and administrative permissions. Then there’s the human and operational layer around this: devices, GitHub access, CI/CD pipelines, cloud accounts, contractor permissions, and incident response.
Yet most public narratives condense these layers into a single word: Hacceptance.
Imagine opening a DeFi app and confirming what appears to be a routine transaction. The page looks familiar. The wallet prompt looks normal. The blockchain then records a valid confirmation. But what if the screen was changed without the signer seeing it? What if the failure occurs in the application interface, access credentials, or workflow around the signing process?
How does crypto security compare to traditional tech companies?
Traditional enterprise systems often separate these failures because each triggers a different response. Crypto typically loses this sensitivity once stolen funds reach a block explorer.
| Operational layer | Enterprise technology norm | Common Web3 vulnerability |
|---|---|---|
| access control | It limits who can log in, from which device and with what approval. | Administrative tasks are performed on personal laptops, and core team members coordinate multimillion-dollar actions, often above standards. Telegram or Discord chats. |
| control plane | Layered approval systems and audit trails | Multisig is still a small group of people and can leave a lot of power to the switch. |
| CI/CD | It separates testing, approval, and release so that bad updates are harder to release. | In danger credentials can change what users or signers see |
Failure mode varies from case to case
Autopsies (or evidence) tell a more complex story than the headlines. Most crypto deaths start too late. “How much was stolen?” they ask. “What actually failed?” before asking.
For example, look at Ronin, who is remembered as one of the defining figures of crypto. bridge cheats. In March 2022, attackers drained 173,600 ETH and 25.5 million USDC from the Ronin Bridge. But mechanics are important here.
Ronin’s bridge needed 5 out of 9 confirming signatures to approve withdrawals. The attacker did not need to find a traditional smart contract bug to get to this point. Four Sky Mavis authentication keys have been compromised. The fifth approval came via an old Axie DAO permission path connected to Ronin’s gasless RPC setup, which was not properly revoked.
Once these five confirmations were received, the bridge deemed the withdrawals valid.
This is the part where the “hyperlink hack” tag tends to fall flat. The weak point wasn’t just bridge as a product or DeFi as a category. this was that Authority structure around the bridge: Who can approve movement, how those approvals are protected, and why an old access route is still important.
Same story elsewhere
Ronin was no exception. Orbital Chain, WazirX And Bybit They all point to the same model from different angles. Even Wrench attacks in France belongs to the broader diagnostic interview. These were not DeFi failures, but they showed the same disturbing truth: Attackers pursue control; whether that control is in the code, multi-signature, a browser interface, or a person.
Where does the money go?
Broader data also complicates the usual story.
Immunefi recorded $1.635 billion in crypto losses across 40 events in the first quarter of 2025. They labeled it the worst quarter for hacks in crypto history. But the division is important.
Most of this figure came from the two CEXs. And together, these events accounted for roughly 94% of the quarter’s losses.
This doesn’t mean DeFi risk is gone. But in value terms, this quarter was dominated by CeFi and signing-related failures, not protocol math breaks.
Chainalytic’s report on the theft highlighted something similar.
It also found that personal wallet seizures are becoming a larger part of the loss picture, rising from 7.3% of value stolen in 2022 to 44% in 2024. Even as DeFi hack losses remain subdued despite high TVL, 158,000 individual wallet compromises in 2025 affected 80,000 unique victims.
Read together, the data does not allow either side to win an easy argument.
The on-chain code still fails. Off-chain systems also clearly fail. The more useful model is that large losses increasingly expose the mechanisms around the code: validators, signers, interfaces, wallet infrastructure, cloud systems, personal devices, and human access. But the greater danger begins after the first failure.
Why does one small mistake bring down the entire system?
In DeFi, a broken assumption rarely stays where it started. A bridge asset can become collateral. Collateral can support loans. Loans can feed coffers. Safes can be located inside collectors. By the time users see the headline, the risk may have passed through many layers. This is where misdiagnosis becomes more than just sloppy language.
For your context, if a bank fails on TradFi, regulators could freeze assets while they figure out what happened. In DeFi, code is executed automatically.
Once the systems are connected, naming the wrong fault can distort the way the market understands any risk built upon it.
Domino effect of interconnected risk
Composability is often considered the big advantage of DeFi. Protocols are seamlessly interconnected, assets are moved between chains, tokens double as collateral, and liquidity is endlessly recycled between markets.
But this frictionless design is a double-edged sword, because the same architecture that accelerates growth also accelerates failure.
When a cross-chain bridge issues an asset, that asset rarely stays put. He is traveling. It enters the lending markets, sits in yield vaults, is routed through aggregators, or acts as collateral for entirely separate positions.
If the bridge’s safety model is broken, the damage cannot be covered in the bridge contract itself. Any subprotocol that treats this bridged asset as a secure, pristine store of value suddenly inherits rot.
This is where the “Money Lego” metaphor starts to seem too neat.
XChainWatcher This makes the bridge version of the question clearer. The study found that vulnerabilities in bridges have led to $3.2 billion in losses since May 2021, and also flagged errors that normal “DeFi hack” coverage might miss.
So the initial failure may begin as a bridge assumption, a signer, a prophecy, or a management path. Second-order failure is “confidence” moving downward. Toxins penetrate the financial plumbing long before the market realizes that a breach has occurred.
The better question is which layer failed
Did the code misbehave? Was the protocol fed bad data? Has the hyperlink verifier or multisig signer lost authority? Has a front-end or CI/CD pipeline been compromised before users see the transaction? Did management change the rules? Or was the person with access directly targeted?
These questions lead to different answers.
Better controls are important, yes. They can reduce code-level risk. But they can’t resolve stolen keys, compromised signers, weak bridge controls, exposed cloud credentials, and poor operational security. And because they control access to crypto wealth, they certainly can’t stop people from being targeted.
That’s the point of being precise. If the industry continues to mislabel failure, it will continue to fight the wrong fight.
“DeFi hack” may continue to be useful as a title shortcut. Yet as a diagnosis, it is often too blunt to be true. Perhaps the better question is where failure actually begins.
Final Summary
- DeFi protocols connect to each other seamlessly; A security breach at one of the underlying layers causes immediate downstream damage.
- The vast majority of stolen funds are actually lost due to off-chain operational failures, compromised signing keys, and human vulnerabilities.
