An AI‑driven security tool discovered high‑severity, remote‑code‑execution flaws in PostgreSQL's pgcrypto extension and MariaDB's JSON schema validation, both dating back over two decades, prompting immediate patch releases and offering mitigation steps for unpatched deployments.
Anthropic's Claude Mythos Preview outperforms GPT‑5.4, Gemini 3.1 Pro and Opus 4.6 across dozens of AI benchmarks, autonomously discovers thousands of software vulnerabilities, exploits them without human guidance, and raises serious alignment and security concerns for the industry.
Claude’s newly launched Code Review automatically triggers on GitHub pull requests, dispatches parallel AI agents to scan code, filters false positives to under 1%, provides quantified issue statistics, discovers security bugs, and charges $15–25 per review, offering a trade‑off between depth and cost.
A comprehensive study of the OpenClaw framework reveals eleven severe security vulnerabilities in multi‑agent AI systems, ranging from over‑reactive data deletion to identity‑spoofing attacks, resource‑exhaustion loops, and covert manipulation, highlighting systemic social‑coherence failures and the need for robust agent governance.
A Tenzai research team evaluated five popular AI coding agents on three Vibe‑generated applications, uncovering comparable bug counts but severe vulnerabilities in Claude, Devin, and Codex outputs, highlighting systemic authorization flaws and the risks of low‑code AI development.
This article surveys the most dangerous 2022 security flaws—including Follina, Log4Shell, Spring4Shell, F5 BIG‑IP, Chrome zero‑day, Office, ProxyNotShell, Zimbra, Confluence, and Zyxel—detailing their impact, exploitation by threat actors, and the importance of timely patching.
Based on Google Project Zero data from 2019 to 2021, Linux leads with an average bug‑fix time of 15 days, while Oracle shows the most delay, and Chrome and iOS consistently rank among the fastest in patching security vulnerabilities.
This article reviews the historical evolution of computer architecture, analyzes the end of Dennard scaling and Moore's Law, discusses domain‑specific architectures, open ISAs like RISC‑V, security vulnerabilities, and emerging opportunities such as agile hardware development and specialized accelerators.
A developer recounts how blindly copying code snippets from sites like CSDN and StackOverflow led to bugs, explains the hidden risks of reusing code without understanding, and offers practical advice on testing and comprehending third‑party code to avoid security and functionality issues.
