How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
This project is a comprehensive web application penetration testing guide and vulnerability research framework. It provides a structured methodology for identifying and exploiting security flaws through a phased approach involving reconnaissance, analysis, and exploitation. The resource is distinguished by its use of a curated methodology framework that links theoretical vulnerability patterns to real-world bug bounty reports and historical exploit examples. It includes a payload-based testing library and a reference system that maps specific vulnerability categories to recommended third-part
LLM Guard is a security firewall and guardrail framework designed to scan and sanitize inputs and outputs for large language models. It functions as a proxy gateway and security layer to block prompt injections, toxicity, and sensitive data leakage while ensuring that model interactions remain compliant with organizational policies. The system distinguishes itself through a modular scanner pipeline that utilizes local model orchestration to eliminate external network dependencies. It supports real-time security filtering via streaming chunk analysis and implements a fail-fast execution model
This project is an open-source intelligence reconnaissance framework and recursive attack surface mapper. It functions as a containerized security scanner designed to map public-facing infrastructure, perform subdomain enumeration, and automate the gathering of open-source intelligence. The system employs a recursive discovery engine to iteratively explore target infrastructure, utilizing a plugin-based module architecture to extend scanning capabilities. It integrates third-party APIs for data enrichment and applies YARA rules across discovered assets to identify specific vulnerability patte
This project is a red teaming knowledge base and offensive security playbook designed to simulate adversary behavior. It serves as a comprehensive collection of technical guides and tactics for executing red team operations. The repository provides detailed instructions for Active Directory exploitation, including Kerberos abuse and domain privilege escalation. It covers defense evasion through API unhooking and payload obfuscation, as well as Windows internals research involving the manipulation of kernel objects and system memory. The capability surface extends to network penetration testi
GitHub Sensitive Information Leakage（GitHub敏感信息泄露监控）
The main features of feeicn/gsil are: Reconnaissance and OSINT, Sensitive Data Leakage.
Open-source alternatives to feeicn/gsil include: voorivex/pentest-guide — This project is a comprehensive web application penetration testing guide and vulnerability research framework. It… blacklanternsecurity/bbot — This project is an open-source intelligence reconnaissance framework and recursive attack surface mapper. It functions… protectai/llm-guard — LLM Guard is a security firewall and guardrail framework designed to scan and sanitize inputs and outputs for large… mantvydasb/redteaming-tactics-and-techniques — This project is a red teaming knowledge base and offensive security playbook designed to simulate adversary behavior.… 1n3/goohak — Automatically launch google hacking queries against a target domain to find vulnerabilities and enumerate a target. bad-antics/marshall-extensions — 🔌 OSINT & Security Extensions for Marshall Browser - Installable plugins for enhanced reconnaissance and security…