New attack waves from the 'PhantomRaven' supply-chain campaign are hitting the npm registry, with dozens of malicious packages that exfiltrate sensitive data from JavaScript developers.
ThreatDown, the corporate business unit of Malwarebytes, today published research documenting what researchers believe to be the first documented case of attackers abusing the Deno JavaScript runtime ...
Your weekly cybersecurity roundup covering the latest threats, exploits, vulnerabilities, and security news you need to know.
Don’t act surprised when your AI agent starts printing millions of pages of cabbages, deletes an entire system partition, or sends your life savings to fraudsters – they’re just being helpful.
If you wanted to steal local files from someone using Perplexity's Comet browser, until last month you could just schedule ...
Abstract: The increasing deployment of wind power systems has raised concerns about their vulnerability to cyberattacks due to remote locations and insecure communication protocols. False data ...
Microsoft has implemented and continues to deploy mitigations against prompt injection attacks in Copilot, the company announced last week. Spammers were using the "Summarize with AI" type of buttons ...
A native macOS application for overriding geolocation data reported by web browsers and the operating system. Built with SwiftUI, targeting macOS 14 (Sonoma) and later. Developed by Terabitlab.
In yet another software supply chain attack, the open-source, artificial intelligence (AI)-powered coding assistant Cline CLI was updated to stealthily install OpenClaw, a self-hosted autonomous AI ...
Biometric injection attacks are emerging as the key vulnerability in biometric remote identity verification and user authentication systems, making assurance that protections against them are ...
Hackers use prompt injection to steal the private data you use in AI. ChatGPT's new Lockdown Mode aims to prevent these attacks. Elevated Risk labels warn you of AI tools and content that could be ...
Abstract: This paper addresses the attack detection problem for cyber-physical systems subject to false data injection attacks. A novel detection framework is developed for cyber-physical systems ...