LinkedInt is a LinkedIn reconnaissance tool that allows users to gather information about companies and individuals on the platform. It provides features such as company search, employee search, and connection analysis, making it a useful tool for OSINT and reconnaissance activities. The tool is designed to help users extract valuable information from LinkedIn, including company data, employee lists, and connection networks. It can be used for various purposes, including competitive intelligence, market research, and cybersecurity investigations. LinkedInt is an open-source tool, and its source code is available on GitHub. It is a Python-based tool, and it requires a LinkedIn account to function.
FEATURES
ALTERNATIVES
TANNER is a remote data analysis and classification service for evaluating HTTP requests and composing responses for SNARE.
NoSQLMap is a Python tool for auditing and automating injection attacks on NoSQL databases.
Deliberately vulnerable web application for security professionals to practice attack techniques.
A tool for scanning websites with open .git repositories and dumping their content for Bug Hunting/Pentesting Purposes.
Linux privilege escalation auditing tool for detecting security deficiencies in Linux kernels.
A local privilege escalation vulnerability in the Linux kernel known for its catchy name and potential damages.
PINNED
Fabric Platform by BlackStork
Fabric Platform is a cybersecurity reporting solution that automates and standardizes report generation, offering a private-cloud platform, open-source tools, and community-supported templates.
Mandos Brief Newsletter
Stay ahead in cybersecurity. Get the week's top cybersecurity news and insights in 8 minutes or less.
Wiz
Wiz Cloud Security Platform is a cloud-native security platform that enables security, dev, and devops to work together in a self-service model, detecting and preventing cloud security threats in real-time.
Adversa AI
Adversa AI is a cybersecurity company that provides solutions for securing and hardening machine learning, artificial intelligence, and large language models against adversarial attacks, privacy issues, and safety incidents across various industries.