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Showing posts from October, 2024

Unpacking CVE-2024-0132: Implications for AI, LLMs, and AWS Security

I n recent months, CVE-2024-0132 has emerged as one of the most critical vulnerabilities affecting AI systems, particularly those hosted on cloud environments such as Amazon Web Services (AWS). This high-severity flaw, found within NVIDIA's Container Toolkit, opens the door for attackers to gain full control over a host system by escaping from the container environment. The vulnerability’s potential to wreak havoc on AI workloads, especially when considering the growing use of large language models (LLMs), underscores its importance. As cloud-based infrastructure, such as AWS, becomes the backbone for AI development, the CVE-2024-0132 vulnerability highlights the increasing need for a deep understanding of security best practices for cloud and AI systems. read more..

Fine-Tuning Large Language Models (LLMs) with Your Own Data

F ine-tuning Large Language Models (LLMs) has become a crucial step in leveraging the power of pre-trained models for specific applications. This article provides a comprehensive guide on how to fine-tune LLMs using your own data, covering everything from prerequisites to deployment. By the end of this article, you will understand the steps involved in adapting LLMs to meet your unique requirements, enhancing their performance on specialized tasks. read more..

Windows Shell Items Analysis

  W indows 10 shell items are metadata files that hold details about various objects in the Windows operating system, including shortcuts, files, and folders. These items are invaluable for forensic investigations because they provide insights into the location and usage of these objects. To perform shell item forensics on Windows 10, you can use forensic tools such as Autopsy, EnCase, or Belkasoft Evidence Center, which are capable of extracting and analyzing shell item metadata. Additionally, manual analysis of shell items is possible using the Windows Shellbags parser, a tool that extracts and interprets the binary data stored in shell item files.. read more...

How to spot and fix memory leaks in Go.

  A memory leak is a faulty condition where a program fails to free up memory it no longer needs. If left unaddressed, memory leaks result in ever-increasing memory usage, which in turn can lead to degraded performance, system instability, and application crashes. Most modern programming languages include a built-in mechanism to protect against this problem, with garbage collection being the most common. Go has a garbage collector (GC) that does a very good job of managing memory. Garbage collectors such as the Go GC automatically track down memory that is no longer used and return it back to the system. read more...