Formal MEV Theory Establishes Security Proofs for Blockchain Economic Attacks
This research formally models Maximal Extractable Value, enabling rigorous security proofs and a deeper understanding of blockchain economic attacks.
UXLINK Multi-Signature Wallet Compromised, $11.3 Million Drained
A delegate call vulnerability in UXLINK's multi-signature wallet granted an attacker administrative control, enabling unauthorized asset transfers and unlimited token minting.
UXLINK Secures New Smart Contract, Commits to Fixed Token Supply
UXLINK's successful security audit and impending token migration establish a fixed supply, fundamentally restoring trust and fortifying its Web3 social infrastructure against future exploits.
Zircuit Secures Mainnet Funding for AI-Secured Parallelized ZK Rollup
Zircuit's parallelized ZK rollup, fortified with AI-enabled sequencer security, redefines Ethereum's scaling and dApp protection, positioning it as a central hub for restaked assets.
Formalizing MEV: Rigorous Model for Provably Secure Blockchain Architectures
This research introduces a formal, abstract model for Maximal Extractable Value, enabling systematic analysis and the development of provably secure blockchain protocols.
Seedify SFUND Cross-Chain Bridge Exploited, $1.2 Million Lost
A compromised cross-chain bridge contract allowed unauthorized token minting and liquidity draining, posing a critical risk to asset integrity across interconnected blockchain ecosystems.
Publicly Verifiable Randomness Enhances Blockchain Consensus Fairness and Security
A new consensus mechanism integrates verifiable randomness via novel PRNGs and smart contracts, ensuring unbiased validator selection and bolstering blockchain integrity.
XDC 2.0 Achieves Theoretical Maximum BFT with Novel Forensics
XDC 2.0 introduces a novel forensics monitoring system and automated validator accountability, significantly enhancing Byzantine Fault Tolerance for institutional blockchain adoption.
Zero-Knowledge Proofs: Practical Cryptographic Privacy and Scalability Advancement
Zero-knowledge proofs enable verifiable computation without revealing underlying data, fundamentally enhancing privacy and scalability across decentralized systems.
