malware-forensics

Analyzes network traffic captures, extracts forensic insights, identifies potential security incidents, and provides detailed packet-level investigation reports

Automates systematic collection, categorization, and preservation of digital artifacts from various sources for forensic analysis and investigation.

Enables PDF parsing, text extraction, metadata retrieval, and content analysis with advanced document processing capabilities

Reconstructs digital forensic timelines by parsing log files, system events, and artifacts to trace sequence of actions and potential security incidents.

Identifies and classifies objects, anomalies, and patterns in images, videos, and sensor data using advanced computer vision techniques

Manages security isolation and resource constraints for processes, preventing system-wide impacts and controlling application behavior.

Performs comprehensive disk image analysis, extracting file system metadata, recovering deleted files, and identifying potential digital evidence.

Extracts and analyzes digital evidence from mobile devices, supporting forensic investigations with comprehensive data recovery techniques.

Performs advanced memory dump analysis, extracting artifacts, identifying malware, and reconstructing system state for digital forensics investigations

Reads, writes, and manipulates Microsoft Word documents, extracting text, tables, and formatting with Python-based processing