Tags → #stories

Analysis of WezRat Malware Attributed to Iranian Group

Check Point Research has analyzed WezRat, a modular infostealer attributed to the Iranian cyber group Emennet Pasargad, which has been linked to various cyber operations and distributed through phishing emails targeting Israeli organizations.
Concerns Raised Over Security of Major Web Browsers

Recent analyses have highlighted security concerns regarding the handling of sensitive data in major web browsers, revealing vulnerabilities that may allow local attackers to access information retained in memory.
EPA Report Identifies Cybersecurity Vulnerabilities in Water Systems

A report from the EPA's Office of Inspector General has identified significant cybersecurity vulnerabilities in 97 drinking water systems, potentially affecting 26.6 million Americans and highlighting the need for urgent action to enhance security measures.
Google Enhances Memory Safety with New Coding Practices

Google is implementing a comprehensive strategy to enhance memory safety by addressing spatial memory safety vulnerabilities through the adoption of Safe Coding practices and the introduction of hardened libc++.
Malware Detection Market Sees Innovations in Loader Technology

The malware detection market is rapidly innovating in response to the evolving tactics of cybercriminals, particularly with the use of loaders like BabbleLoader, which employ advanced evasion techniques to deliver malicious payloads.
Security Challenges and Best Practices for AWS Lambda

The article discusses the security challenges associated with AWS Lambda and emphasizes the importance of proper configurations and monitoring to mitigate potential vulnerabilities in serverless architectures.
Three Cryptocurrency Users Lose $876,000 in Scams

Three cryptocurrency users lost a total of $876,000 in assets due to a series of on-chain scams that highlight the ongoing risks associated with digital currencies.
Advancements in Privacy-Preserving Machine Learning Protocols

A recent research article examines advancements in privacy-preserving machine learning, highlighting the role of secure multi-party computation and presenting an efficient protocol for secure linear function evaluation that enhances performance on GPUs.
Advancements in Twin Column Parity Mixers for Cryptography

Recent advancements in symmetric twin column parity mixers (TCPM) aim to improve lightweight cryptography for constrained devices, focusing on cost reduction while maintaining high security.
Advancements in Zero-Knowledge Probabilistically Checkable Proofs Announced

Researchers from the University of Cambridge and Cornell University have made significant advancements in zero-knowledge probabilistically checkable proofs (ZK-PCPs), contributing to the field of computational complexity with new constructions that maintain perfect zero-knowledge against various types of adversaries.