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🛡️ Cybersecurity enthusiast | 💻 Helping secure the digital world | 🌐 Web App Tester | 🕵️‍♂️ OSINT Specialist Admin: @laazy_hack3r

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Advanced Cybersecurity – Day 5 💻 Malware Analysis & Reverse Engineering Ever wondered how experts uncover the secrets of malicious software? 🕵️‍♂️ In Day 5, explore how malware works, how to dissect it safely, and how reverse engineering helps strengthen your defenses. 📖 Read now 👉 https://hacklivly.com/blog/104-advanced-cybersecurity-day-5-malware-analysis-reverse-engineering #CyberSecurity #MalwareAnalysis #ReverseEngineering #Hacklivly #InfoSec #AdvancedCybersecurity #EthicalHacking

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Proxychains
Proxychains

WhatWeb
WhatWeb

Msfvenom
Msfvenom

OWASP ZAP
OWASP ZAP

Ligolo-Ng
Ligolo-Ng

#tools #AIOps #Fuzzing "Make Agent Defeat Agent: Automatic Detection of Taint-Style Vulnerabilities in LLM-based Agents", Black Hat Europe 2025. ]-> Slides (.pdf) ]-> https://github.com/LFYSec/AgentFuzz // In this paper, we propose a novel directed greybox fuzzing approach, called AgentFuzz, the first fuzzing framework for detecting taint-style vulnerabilities in LLM-based agents

#Whitepaper "OWASP Top 10 for Agentic AI Applications 2026", Dec. 2025. // OWASP Top 10 for Agentic Applications 2026 is a globally peer-reviewed framework that identifies the most critical security risks facing autonomous and agentic AI systems. Developed through extensive collaboration with more than 100 industry experts, researchers, and practitioners, the list provides practical, actionable guidance to help organizations secure AI agents that plan, act, and make decisions across complex workflows. By distilling a broad ecosystem of OWASP GenAI Security guidance into an accessible, operational format, the Top 10 equips builders, defenders, and decision-makers with a clear starting point for reducing agentic AI risks and supporting safe, trustworthy deployments

#AIOps #CogSec #MLSecOps "Cognitive Control Architecture (CCA): A Lifecycle Supervision Framework for Robustly Aligned AI Agents", Dec.2025. // Method is predicated on a core insight: no matter how subtle an IPI attack, its pursuit of a malicious objective will ultimately manifest as a detectable deviation in the action trajectory, distinct from the expected legitimate plan See also: ]-> Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents ]-> https://agentdojo.spylab.ai

😂
😂

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#Whitepaper #Offensive_security "API Security Testing (Penetration Testing) Guide", 03.03.2025. // This comprehensive guide explores the methodologies, techniques, and best practices for conducting thorough API security testing, also known as API penetration testing

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#Research #MLSecOps "Evaluating the Robustness of Large Language Model Safety Guardrails Against Adversarial Attacks", Nov. 2025. // This study evaluated ten publicly available guardrail models from Meta, Google, IBM, NVIDIA, Alibaba, and Allen AI across 1,445 test prompts spanning 21 attack categories

TCPDUMP
TCPDUMP

Wafw00f
Wafw00f

FFUF (Fuzz Faster U Foll)
FFUF (Fuzz Faster U Foll)

Wireshark
Wireshark

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