Privacy Pools – Striking the Balance in Privacy and Regulations
Public blockchains represent a paradigm shift in digital transactions, offering a transparent and decentralized ledger accessible to anyone. However, this very transparency can present privacy challenges. One notable concern is the exposure of transaction history associated with public addresses. When you conduct a transaction on a public blockchain, the details are recorded on the ledger, […]
A Primer for the Zero-Knowledge Cryptography: Part II
Introducing the initial building block: the Elliptic curve DLP primitive. Subsequently, in the forthcoming series, we will delve into other primitives such as Bilinear mapping, Knowledge of exponentiation, and groups of unknown orders.
Decoding the ERC-2771 Delegatecall Vulnerability
ERC-2771 is a protocol designed for authenticating users in transactions relayed through a third party. It plays a pivotal role in reducing transaction costs and streamlining operations on the blockchain. However, this convenience comes with a hidden risk.
A Primer for the Zero-Knowledge Cryptography III
In the previous edition of the ZK cryptography series, we thoroughly explored the fundamentals of our first computational problem DLP with its application in the Elliptic curve for higher security guarantees in ZK proofs.
Stablecoins: Riskless Investment or Financial Fraud?
On the surface, stablecoins sound like a dream come true for crypto investors. However, digging a little deeper raises several questions about their backing. At the end of the day, can the companies selling them even be trusted?
The Big Fuzz Theory: The Dark Fuzz Rises
Learn how Fuzz Driven Development (FDD) transforms software testing by assisting programmers and testers in overcoming prejudices for improved code quality, security, and performance.
The Big Fuzz Theory: Multiverse Of Fuzz Madness
This blog explores the fascinating world of fuzz testing methodologies and frameworks. We delve into stateless and stateful fuzzing. Bounded Model Checking (BMC) is introduced as a technique to verify systems against predefined specifications. Additionally, we discuss the essence of End-to-End (E2E) testing, combining structured scenarios with fuzz testing’s unpredictability. Lastly, we compare renowned fuzzing tools, Echidna and Foundry, highlighting their unique features and differences.
The Big Fuzz Theory: Fuzzing Primer
Fuzz testing, or fuzzing, is a technique used to improve the security of software, including smart contracts in Solidity. It involves supplying random or unexpected data as inputs to a system in an attempt to break it and uncover vulnerabilities that manual testing might miss. Fuzzers generate a set of inputs for testing scenarios that may have been missed during unit testing, helping to identify bugs and potential security issues.
Web 2.0 Security vs Web 3.0 Security: An Innovative Adaptation?
Web 3.0 is a semantic web where it promises to establish information in a better-existing way than any current search engine can ever attain. Web 3.0 promotes four concepts which mainly are authenticity, i.e, every piece of information existing on the internet is a fact or derived from a fact. Integrity, willingness to abide by moral principles, and ethical values. Transparency, the data present on the internet is accessible for every user to witness. Lastly, Confidentiality which is achieved by Blockchain technology, where every user’s identity is anonymous, making it secure.
A Security Framework For Blockchain Applications
how do we keep the blockchain application safe? Let’s walk through some security frameworks for blockchain applications in this blog
