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Showing posts from July, 2025

n8n – CVE-2025-68613: Critical RCE Vulnerability

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    A critical vulnerability ( CVE-2025-68613 ) has been identified in n8n , the popular workflow automation tool. The flaw lies in the expression evaluation system, where user-supplied expressions can escape the sandbox and access Node.js internals. This leads to arbitrary code execution with a CVSS score of 9.9 (Critical) .      n8n is an open source workflow automation platform. Versions starting with 0.211.0 and prior to 1.120.4, 1.121.1, and 1.122.0 contain a critical Remote Code Execution (RCE) vulnerability in their workflow expression evaluation system. Under certain conditions, expressions supplied by authenticated users during workflow configuration may be evaluated in an execution context that is not sufficiently isolated from the underlying runtime. An authenticated attacker could abuse this behavior to execute arbitrary code with the privileges of the n8n process. Successful exploitation may lead to full compromise of the affected instance,...

Convolution Neural Network

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What is a Convolutional Neural Network (CNN)?      A Convolutional Neural Network (CNN) is a type of deep learning model specifically designed to process visual data like images and videos. It works by automatically learning patterns such as edges, textures, shapes, or objects from images without needing manual feature engineering. CNNs are inspired by the way the human visual cortex works and are widely used in computer vision tasks like image classification, object detection, face recognition, and more. CNNs reduce the complexity of image data using a structure of layers that include convolution layers, pooling layers, and fully connected layers. Each layer plays a unique role in extracting, simplifying, and interpreting the visual features. By stacking multiple such layers, CNNs can identify complex patterns and even recognize complete objects. One major advantage is that CNNs learn spatial hierarchies—starting from small patterns like edges to entire objects. CNNs ha...

AI Agents Assemble: The Future Just Got Smarter!

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AI Agent 🤖             An  AI Agent  is a computer program that can think and make decisions like a human. It works by observing its surroundings, deciding what to do, and then taking action. These agents are designed to solve problems, complete tasks, and even learn from their mistakes. They don’t need someone to tell them what to do every time they can work on their own. AI Agents use logic, planning, and sometimes learning to get better over time. They can respond to changes, make choices, and keep improving. In simple words, an AI Agent is a smart system that can act on its own using artificial intelligence. It behaves in a way that helps it reach its goals effectively. 1. key Features of an AI Agent:              An AI is an smart software program, that can think, learn and take actions on its own, the key features of an AI Agents includes Reasoning, Acting, Observing, Planning, Col...