Tyler Buchanan admits role in scheme that stole at least $8 million in virtual currency
A Scottish man linked to the Scattered Spider cybercrime crew has pleaded guilty in the US to a phishing and SIM-swap scheme that stole at least $8 million in cryptocurrency.…
A critical security vulnerability has been disclosed in SGLang that, if successfully exploited, could result in remote code execution on susceptible systems.
The vulnerability, tracked as CVE-2026-5760, carries a CVSS score of 9.8 out of 10.0. It has been described as a case of command injection leading to the execution of arbitrary code.
SGLang is a high-performance, open-source serving
Monday’s recap shows the same pattern in different places. A third-party tool becomes a way in, then leads to internal access. A trusted download path is briefly swapped to deliver malware. Browser extensions act normally while pulling data and running code. Even update channels are used to push payloads. It’s not breaking systems—it’s bending trust.
There’s also a shift in how attacks run.
The fastest way to fall in love with an AI tool is to watch the demo.
Everything moves quickly. Prompts land cleanly. The system produces impressive outputs in seconds. It feels like the beginning of a new era for your team.
But most AI initiatives don't fail because of bad technology. They stall because what worked in the demo doesn't survive contact with real operations. The gap between a
Cybersecurity researchers have discovered a critical "by design" weakness in the Model Context Protocol's (MCP) architecture that could pave the way for remote code execution and have a cascading effect on the artificial intelligence (AI) supply chain.
"This flaw enables Arbitrary Command Execution (RCE) on any system running a vulnerable MCP implementation, granting attackers direct access to
Years before the figure skater became an Olympic superstar, a Chinese operative tried to stalk her father and monitored other US residents deemed dissidents against China. And that’s just the beginning.
Cybersecurity researchers have flagged a new malware called ZionSiphon that appears to be specifically designed to target Israeli water treatment and desalination systems.
The malware has been codenamed ZionSiphon by Darktrace, highlighting its ability to set up persistence, tamper with local configuration files, and scan for operational technology (OT)-relevant services on the local subnet.
Blames outfit called Context.ai, which reckons an agentic OAuth tangle caused the incident
Vercel, the company that created the open source Next.js web development framework, has a data leak that led to compromise of some customer credentials, and blamed an outfit called Context.ai for the mess.…
Web infrastructure provider Vercel has disclosed a security breach that allows bad actors to gain unauthorized access to "certain" internal Vercel systems.
The incident stemmed from the compromise of Context.ai, a third-party artificial intelligence (AI) tool, that was used by an employee at the company.
"The attacker used that access to take over the employee's Vercel Google Workspace account,
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