687 matches found
kiro-cybersecurity-skills
CyberSecurity Skills A collection of 15 security workflows co...
OSCP-PEN200
🛡️ OSCP / PEN-200 Master Pentesting Database !License: MIT...
Fulcrum-OSINT-monitor
FULCRUM — Architecture Technique v3.1 Vue d'ensemble FULC...
offensive-claude-813
Offensive Security Research Config for Claude Code !TIP...
offensive-claude-982
Offensive Security Research Config for Claude Code !TIP...
offensive-claude-490
Offensive Security Research Config for Claude Code !TIP...
arsenal-tools
Arsenal — CTF & Pentest Toolkit Collection de 198 outils of...
exploit-validator
$repo Production-grade offensive security tool for Purpose...
A New Framework for Cybersecurity Refusals in AI Agents
Agentic scaffolds have dramatically improved LLM performance on complex, long-horizon tasks, yielding both broad benefits and amplified risks in domains like cybersecurity. Existing benchmarks for AI agents in cybersecurity focus mainly on measuring proficiency--how effectively agents can complet...
Cybersecurity AI (CAI) Dataset
We present CAI Dataset, a fourteen-month corpus of cybersecurity LLM trajectories collected through the open-source CAI agent framework, built in response to PentestGPT's finding that expert operator trajectories, not base-model capability, are the bottleneck for cybersecurity LLM performance. CA...
Detecting Offensive Cyber Agents: A Detection-In-Depth Approach
Artificial Intelligence AI agents can now orchestrate cyberattacks. This development is already increasing the speed and scale of cyber attacks, decreasing attack costs, and improving the operational autonomy of cyber capabilities. To defend against these emerging threats, actors must first devel...
offensive-claude
Offensive Security Research Config for Claude Code A comprehe...
portofolio_DWForSec
DwF — Cybersecurity Portfolio A professional cybersecurity po...
web-app-pentest-playbook
Web Application Pentest Playbook A structured methodology and...
01-Pentesting-and-Offensive-Security
No d...
Introducing Penetration Test Findings: Unified Offensive Security in Wiz
Streamline pen-testing by unifying findings from bug bounties, manual audits, and Wiz Red Agent into a single, context-rich view...
offensive-Sqli
No d...
The Industrialization of Exploitation: Why Defensive AI Must Outpace Offensive AI
Today, vulnerabilities can be discovered, connected, and operationalized at a speed that traditional security processes were never designed to match. Learn more...
Automation-Exploit: A Multi-Agent LLM Framework for Adaptive Offensive Security with Digital Twin-Based Risk-Mitigated Exploitation
The offensive security landscape is highly fragmented: enterprise platforms avoid memory-corruption vulnerabilities due to Denial of Service DoS risks, Automatic Exploit Generation AEG systems suffer from semantic blindness, and Large Language Model LLM agents face safety alignment filters and...
ctf-writeups
ctf-writeups Retos de HTB, TryHackMe y DFIR — documentado...