EthSecurity
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A journey into #Ethereum 2.0 #Blockchain #Fuzzing and vulnerability discovery - Good Read! πŸ™Œ

- https://t.co/UE8kT4OARc https://t.co/zQ3ThmCfvV
Why and how zk-SNARK works - Good Read! 🧐

https://t.co/8Kyh1kmnNb

The primary goal of this study is not only to explain how it works but why it works and how it came to be this way 😎
Detecting nondeterministic payment bugs in #Ethereum smart contracts - Good Read! 🧐

https://t.co/D2Kf7L62cz https://t.co/kdd3YzfqpZ
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EthSecurity pinned Deleted message
A low-latency commit-and-reveal architecture to mitigate #Blockchain front-running - Good Read! πŸ‘€

PDF: https://t.co/n523G63SQj

https://t.co/Dxe1l0OF2D https://t.co/TljXUAFVaL
Just spotted an awesome project for which Authors put together all known MITM (Man-In-The-Middle) attacks and methods of protection against these attacks πŸ‘€

https://t.co/yq2DMpJPDt
Cz:
Our threat intel detected a potential exploit on Uniswap V3 on the ETH blockchain. The hacker has stolen 4295 ETH so far, and they are being laundered through Tornado Cash. Can someone notify @Uniswap? We can help. Thanks

https://t.co/OV3g7ayf77

That was phishing 😫
Denial-of-Service vulnerability of hash-based transaction sharding - Good Read! 🧐

PDF: https://t.co/pbf3KziZyW

https://t.co/CRpzEidYTf
The Interest Protocol token sale contract has a bug that allows admins to take all IPT tokens before purchasers can claim them.

The admin withdraw() method does not check if it has already been called - withdraw() can be called repeatedly to drain the entire contract of IPT.
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A new high-performance approach to approximate pattern-matching for plagiarism detection in #NFTs- Good Read! πŸ‘€

arxiv.org/pdf/2205.14492…

Authors present an approach to performing approximate pattern-matching for plagiarism detection with using an NDFA-based approach 🀯
Thirteen incredible #github repositories to help you learn everything about blockchain.
#Blockchain #web3 #development #defi #javadcript #solidity #vyper

https://twitter.com/poryadev/status/1549397403677388800?s=21
Behavior-aware account de-anonymization on #Ethereum interaction graph - Good Read! 🀯

πŸ‘‰https://t.co/hfGdoW4cZV

Authors propose an end-to-end graph neural network framework to characterize the behavior patterns of accounts and further achieve account de-anonymization πŸ‘€ https://t.co/sAkuWEZoXb