SLCrimewall by Social Links is a full-cycle OSINT investigation platform designed to streamline the entire intelligence cycle, from data extraction and analysis to visualization and final application. It simplifies the investigation experience by automating processes, allowing users to focus on decision-making. SLCrimewall provides a collaborative interface for sharing and analyzing evidence, working out hypotheses, and narrowing in on details on the team project board. It offers wide-ranging intelligence options, enabling users to extract and analyze data from over 500 open data sources, including major social media platforms, messengers, blockchains, and the Dark Web. The platform supports three types of visualization—Graph, Table, and Map view—to uncover hidden connections. SLCrimewall leverages machine learning-driven data analysis to automatically process data and reduce manual effort. It is equipped with 1700+ search methods to conduct investigations across various sources, including social media, messengers, the Dark Web, and blockchains. The platform is designed to help in cybercrime investigations, attributing entities associated with cases, and enhancing OSINT investigations with AI models for face and object recognition, text analysis, and fake detection.
