This scenario aligns with CHFI v11 objectives under Network and Web Attacks and Social Media Forensics , where investigators are required to collect and analyze digital evidence from online platforms while preserving evidentiary integrity. When sensitive data is leaked through public or semi-public online channels, social media and online network artifacts such as posts, multimedia content, comments, likes, and user relationships become critical sources of evidence.
Social Network Harvester is specifically designed for social media and online platform investigations. It allows forensic investigators to systematically collect data such as posts, images, videos, timestamps, usernames, and interaction metadata from multiple social networks. CHFI v11 emphasizes the importance of using purpose-built tools that support structured collection, proper documentation, and evidence preservation to maintain chain of custody and admissibility.
LiME is a volatile memory acquisition tool, Elastic Stack is primarily used for log aggregation and analysis, and Guymager is a forensic disk imaging tool. None of these are suitable for harvesting social media content.
Therefore, Social Network Harvester is the most appropriate CHFI-aligned tool for efficiently gathering, organizing, and analyzing social network evidence in data leakage investigations.