Your Cloud Detection Strategy in 2026: What to Expect at the Global Cybersecurity Summit

Cloud environments have changed how security teams detect and respond to threats. Signals come from more places, identities are harder to track, and attacks rarely stay within a single system. For many teams, the challenge is no longer visibility. It is having the risk context to understand what...

Microsoft PowerShell 输入验证错误漏洞

Microsoft PowerShell is a Microsoft-developed cross-platform task automation solution that includes a command-line shell, scripting language, and configuration management framework. An elevation of privilege vulnerability exists in Microsoft PowerShell, which is caused by incorrect input validati...

Anthropic’s Mythos Will Force a Cybersecurity Reckoning—Just Not the One You Think

The new AI model is being heralded—and feared—as a hacker’s superweapon. Experts say its arrival is a wake-up call for developers who have long made security an afterthought...

ChatGPT, Is This Real? the Influence of Generative AI on Writing Style in Top-Tier Cybersecurity Papers

With the release of ChatGPT in 2022, generative AI has significantly lowered the cost of polishing and rewriting text. Due to its widespread usage, conference organizers instated specific requirements researchers need to adhere to when using GenAI. When asked to rewrite text, GenAI can introduce...

Like a Hammer, It Can Build, It Can Break: Large Language Model Uses, Perceptions, and Adoption in Cybersecurity Operations on Reddit

Large language models LLMs have recently emerged as promising tools for augmenting Security Operations Center SOC workflows, with vendors increasingly marketing autonomous AI solutions for SOCs. However, there remains a limited empirical understanding of how such tools are used, perceived, and...

cybersentinel-agent

CyberSentinel Agent Defensive cybersecurity agent framework w...

Cybersecurity Risk Assessment: The Complete Guide for Security Leaders

Most security teams treat risk assessments as a compliance checkbox, a periodic exercise that generates a thick report, collects dust for six months, and then gets repeated. The result? Organizations discover their biggest exposures only after an incident, not before. A cybersecurity risk...

PT-2026-31710

Name of the Vulnerable Software and Affected Versions WishList Member X versions prior to 3.29.1 Description A flaw allows users with subscriber privileges to perform arbitrary file uploads. This occurs when the application fails to properly validate files uploaded by users with low-level...

Anthropic's Claude Mythos Finds Thousands of Zero-Day Flaws Across Major Systems

Artificial Intelligence AI company Anthropic announced a new cybersecurity initiative called Project Glasswing that will use a preview version of its new frontier model, Claude Mythos , to find and address security vulnerabilities. The model will be used by a small set of organizations, including...

WordPress Attendance Manager plugin <= 0.6.2 - Authenticated (Subscriber+) SQL Injection via 'attmgr_off' Parameter vulnerability

Authenticated Subscriber+ SQL Injection via 'attmgroff' Parameter vulnerability discovered by Maurice Fielenbach Hexastrike - Hexastrike Cybersecurity UG haftungsbeschränkt in WordPress Plugin Attendance Manager versions = 0.6.2...

System Card: Claude Mythos Preview

This System Card describes Claude Mythos Preview, a large language model from Anthropic. Mythos Preview is their most capable frontier model to date, and shows a striking leap in scores on many evaluation benchmarks compared to their previous frontier model, Claude Opus 4.6. This System Card...

SentinelSphere: Integrating AI-Powered Real-Time Threat Detection with Cybersecurity Awareness Training

The field of cybersecurity is confronted with two interrelated challenges: a worldwide deficit of qualified practitioners and ongoing human-factor weaknesses that account for the bulk of security incidents. To tackle these issues, we present SentinelSphere, a platform driven by artificial...

Anthropic Teams Up With Its Rivals to Keep AI From Hacking Everything

The AI lab's Project Glasswing will bring together Apple, Google, and more than 45 other organizations. They'll use the new Claude Mythos Preview model to test advancing AI cybersecurity capabilities...

CritBench: A Framework for Evaluating Cybersecurity Capabilities of Large Language Models in IEC 61850 Digital Substation Environments

The advancement of Large Language Models LLMs has raised concerns regarding their dual-use potential in cybersecurity. Existing evaluation frameworks overwhelmingly focus on Information Technology IT environments, failing to capture the constraints, and specialized protocols of Operational...

Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing

The rapid advancement of Large Language Models LLMs has created new opportunities for Automated Penetration Testing AutoPT, spawning numerous frameworks aimed at achieving end-to-end autonomous attacks. However, despite the proliferation of related studies, existing research generally lacks...

Towards Resilient Intrusion Detection in CubeSats: Challenges, TinyML Solutions, and Future Directions

CubeSats have revolutionized access to space by providing affordable and accessible platforms for research and education. However, their reliance on Commercial Off-The-Shelf COTS components and open-source software has introduced significant cybersecurity vulnerabilities. Ensuring the cybersecuri...

Strengthening secure software at global scale: How MSRC is evolving with AI

Cybersecurity has always been a race between defenders and attackers, constrained by human time, attention, and scale. What is changing now is the level of capability available to apply security fundamentals with far greater reach and speed...

The Hack That Exposed Syria’s Sweeping Security Failures

When Syrian government accounts were hijacked in March, the breach looked chaotic. But it revealed something more troubling: a state struggling with the most basic layer of cybersecurity...

NetSecBed: A Container-Native Testbed for Reproducible Cybersecurity Experimentation

Cybersecurity research increasingly depends on reproducible evidence, such as traffic traces, logs, and labeled datasets, yet most public datasets remain static and offer limited support for controlled re-execution and traceability, especially in heterogeneous multi-protocol environments. This...

CVE-2026-35490

creationtimestamp| type| source ---|---|--- 2026-04-04 03:57:55+00:00| published-proof-of-concept| https://github.com/dgtlmoon/changedetection.io/security/advisories/GHSA-jmrh-xmgh-x9j4 2026-04-07 17:29:27+00:00| seen| Telegram/yDDpU4nC0b44IAL16-yoyqmXwVbKF5D32H81GUjgS-e3jc 2026-04-14...