System Binary Proxy Execution represents a significant and evolving threat within the cybersecurity landscape, exploiting the very trust that operating systems place in their essential binaries. Attackers’ use of legitimate system processes to execute malicious code challenges traditional security frameworks, which often rely on the assumption that these binaries are inherently safe. This method’s ability…
Overview System Binary Proxy Execution leverages legitimate Windows binaries (e.g., rundll32.exe, mshta.exe) to execute malicious code. These binaries are trusted by the OS, allowing attackers to bypass security controls like antivirus and application whitelisting by using these tools to proxy malicious actions. Historical Context This technique gained prominence as security defenses improved. Traditional malware detection…
The use of Large Language Models (LLMs) in bug bounty hunting has emerged as a transformative approach, significantly enhancing vulnerability detection and threat analysis through automation and real-time intelligence. LLMs like GPT-4 provide powerful tools for identifying security flaws, generating test cases, and supporting continuous monitoring. However, these models are not without risks; they are…
1. Introduction to Artificial Intelligence (AI) 1.1 What is AI? Artificial Intelligence (AI) involves the simulation of human intelligence processes by machines, particularly computer systems. These processes include learning (acquiring information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI can handle tasks that typically require…
Section 1: Understanding LLMs and Their Role in Bug Bounty Hunting Introduction to Large Language Models Overview of what LLMs are Large Language Models (LLMs) are advanced AI models trained on vast amounts of text data. They can understand, generate, and manipulate human language. LLMs, like GPT-4, are designed to predict the next word in…