Weaponizing the Protectors: TeamPCP’s Multi-Stage Supply Chain Attack on Security Infrastructure

Between late February and March 2026, threat group TeamPCP conducted a highly calculated, escalating sequence of supply chain threats. It systematically compromised widely trusted open-source security tools, including the vulnerability scanners Trivy and KICS and the popular AI gateway LiteLLM. Read More …

Fooling AI Agents: Web-Based Indirect Prompt Injection Observed in the Wild

Large language models (LLMs) and AI agents are becoming deeply integrated into web browsers, search engines and automated content-processing pipelines. While these integrations can expand functionality, they also introduce a new and largely underexplored attack surface. One particularly concerning class Read More …

‘ZombieAgent’ zero click vulnerability allows for silent account takeover

OpenAI recently introduced a new feature for ChatGPT which, unfortunately, also puts users at risk of data exfiltration and persistent access. In December 2025, a feature called Connectors finally moved out of beta and into general availability. This feature allows Read More …

New Prompt Injection Attack Vectors Through MCP Sampling

This article examines the security implications of the Model Context Protocol (MCP) sampling feature in the context of a widely used coding copilot application. MCP is a standard for connecting large language model (LLM) applications to external data sources and Read More …

Indirect prompt injection in the real world: how people manipulate neural networks

Large language models (LLMs) – the neural network algorithms that underpin ChatGPT and other popular chatbots – are becoming ever more powerful and inexpensive. Systems built on instruction-executing LLMs may be vulnerable to prompt injection attacks. A prompt is a Read More …