A new report by Bybit’s Lazarus Security Lab has sparked debate across the crypto world.
Hardcoded freezing is embedded directly in the blockchain’s code, seen in networks like BNB Chain and VeChain. Configuration-based freezing allows validators or foundations to pause or restrict accounts, as used by Sui and Aptos. Lastly, on-chain contract freezing works through smart contracts that can block funds or wallets, a method found in HECO.
The report provides several real-world cases. In 2022, BNB Chain used hardcoded blacklists to stop a $570 million bridge exploit, preventing the attacker from cashing out. Earlier, in 2019, VeChain froze $6.6 million in stolen tokens after a major breach. More recently, Sui froze $162 million tied to the Cetus hack, with Aptos adding blacklisting tools soon after. These examples show how emergency measures can prevent further losses during major attacks, even if they slightly compromise decentralization.
According to David Zong, Head of Group Risk Control and Security at Bybit, the goal is transparency, not control. “Blockchain was built on the principle of decentralization, yet our research shows that many networks are developing pragmatic safety mechanisms to respond quickly to threats,” he explained.
The report’s AI-assisted framework scanned blockchain codebases for modules related to blacklisting, transaction filtering, and configuration updates. Each result was manually verified to ensure accuracy. The conclusion was clear: transparency about these safety tools should become a key part of blockchain governance.
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it would be nice if you would cite some sources and offer a bit more information than just a headline. so...I will do it for you: Summary: - ByBit analyzed 166 blockchains and found 16 have freezing function, another 19 could introduce the mwith minor protocol changes. - 3 Show more
1/ Bybit revealed something shocking... @Bybit_Official's Lazarus Security Lab uncovered hidden fund-freezing functions in 16 major blockchains. This is a major red flag for giants, but it actually highlights why @cosmos and $ATOM approach is so strong. A thread 🧵👇
