SummaryNot all data leaks are as damaging as headlines suggest, as many breach dumps are inflated with duplicate, recycled, or fake information to increase their
Tag: LOG ANALYSIS

This article explores the applications of Generative AI in cybersecurity, highlighting its potential for enhancing threat detection, incident response, malware analysis, and more. It examines
A critical vulnerability (CVE-2024-13059) in the open-source AI framework AnythingLLM allows attackers with administrative privileges to execute arbitrary code remotely. The flaw stems from improper filename sanitization in the multer library….

Summary: DevSecOps integrates security into every stage of software development, promoting shared responsibility among teams to enhance resilience and reduce vulnerabilities. By employing solutions like
In the Persistence stage of the MITRE ATT&CK framework, attackers establish footholds within systems to maintain access. They may create scheduled tasks that run malicious

The first few months of 2025 saw a massive spike in phishing-as-a-service (PhaaS) attacks targeting organizations around the world, with more than a million attacks detected by Barracuda systems in January and February….

This article discusses a series of data breaches involving large language models (LLMs) that occurred between January and February 2025. These incidents highlighted vulnerabilities in

The Securonix Threat Research team has uncovered a sophisticated malware campaign known as OBSCURE#BAT, which employs social engineering tactics and deceptive downloads to install a

This study offers a comprehensive examination of Advanced Persistent Threats (APTs), focusing on their dynamics, techniques employed, and preventive measures. The article discusses the identification
Summary: The video discusses the release of TryHackMe’s Security Analyst Level One (SA1) certification, emphasizing its hands-on approach that prepares candidates for real-world scenarios in

Summary: This article discusses the application of Large Language Models (LLMs) in enhancing security operations by automating tasks and enriching data within cybersecurity frameworks. It