Module 1:
Advanced Search Techniques

• Utilizing advanced search engine operators: Teach participants how to employ operators like site:, intitle:, filetype:, and others to refine searches precisely and efficiently, ensuring they retrieve the most relevant information.
• Leveraging search APIs and custom search engines: Explore the integration of APIs such as Google Custom Search Engine and Bing Search API, enabling participants to build custom search engines tailored to specific investigative needs.
• Exploring deep web and dark web search techniques: Delve into methodologies for accessing and searching the deep web responsibly, emphasizing tools and strategies for uncovering hidden content while maintaining legal and ethical boundaries.

Module 2:
Social Media Intelligence (SOCMINT)

• Advanced methods for monitoring and analyzing social media activities: Equip learners with advanced monitoring techniques using social media listening tools like Sysomos, Talkwalker, and Sprinklr, allowing them to track real-time conversations, trends, and sentiment across multiple platforms.
• Utilizing social media monitoring tools and platforms: Guide participants in utilizing advanced features of platforms such as Hootsuite, Buffer, and Brandwatch for comprehensive social media monitoring, audience analysis, and competitive benchmarking.
• Identifying trends, sentiment analysis, and behavioral patterns: Provide methodologies for conducting sentiment analysis, trend identification, and behavioral pattern recognition through tools like IBM Watson Analytics and sentiment analysis APIs, enabling proactive decision-making based on social media insights.

Module 3:
Advanced Image and Video Analysis

• Deep dive into digital forensics: Offer an extensive exploration of digital forensics techniques for image and video analysis, covering metadata extraction, authenticity verification, and chain of custody procedures using tools like Forensic Toolkit (FTK) and PhotoDNA.
• Identifying manipulation techniques and deepfakes: Educate participants on recognizing and verifying digital manipulation techniques, including deepfakes and AI-generated content, utilizing forensic software like Amped Authenticate and Deepware Scanner.
• Hands-on exercises with advanced analysis tools: Facilitate practical sessions using advanced image and video analysis tools such as Adobe Photoshop, Ghiro, and Amped FIVE, allowing participants to apply forensic methodologies to real-world case studies and scenarios.

Module 4:
Geospatial Intelligence (GEOINT)

• Introduction to geospatial analysis for OSINT: Introduce the fundamentals of geospatial analysis, covering geotagging, spatial data manipulation, and geospatial visualization techniques using software like ArcGIS Pro, QGIS, and Google Earth Engine.
• Using satellite imagery and GIS tools: Explore advanced applications of satellite imagery analysis for OSINT, including imagery interpretation, change detection analysis, and map overlay techniques using platforms such as DigitalGlobe and Sentinel Hub.
• Mapping and visualizing OSINT data: Guide participants in creating geospatial visualizations and interactive maps to illustrate OSINT findings effectively, utilizing tools like Carto and Mapbox for data visualization and spatial analytics.

Module 5:
Cyber Threat Intelligence (CTI)

• Understanding OSINT’s role in CTI: Examine the integration of OSINT sources and methodologies into Cyber Threat Intelligence (CTI) programs, focusing on threat actor profiling, campaign tracking, and reconnaissance techniques using OSINT tools and platforms.
• Analyzing malware, phishing campaigns, and hacker forums: Equip participants with skills to monitor and analyze malware samples, phishing campaigns, and discussions within underground forums and marketplaces using threat intelligence platforms like VirusTotal, Hybrid Analysis, and dark web monitoring tools.
• Utilizing threat intelligence platforms: Demonstrate the utilization of threat intelligence platforms such as ThreatConnect, Recorded Future, and Anomali for aggregating, analyzing, and disseminating OSINT-derived threat intelligence to enhance organizational security posture and incident response capabilities.

Module 6:
Advanced OSINT Tools and Techniques

• In-depth exploration of advanced OSINT tools and frameworks: Provide comprehensive training on advanced OSINT tools and frameworks, including Maltego, SpiderFoot, and Recon-ng, for conducting automated data collection, network reconnaissance, and entity mapping in complex investigative scenarios.
• Automation and scripting: Enable participants to leverage Python scripting, API integrations, and workflow automation tools like Phantom Cyber for streamlining OSINT data collection, analysis, and reporting processes.
• Case studies and practical exercises: Engage learners with hands-on case studies and practical exercises that simulate real-world investigative challenges, allowing them to apply advanced OSINT tools and techniques to solve complex intelligence requirements and investigative tasks effectively.

Module 7:
Tracking ICS Systems

Industrial Control Systems (ICS) include various components like SCADA (Supervisory Control and Data Acquisition) systems, PLCs (Programmable Logic Controllers), and other control devices used in industries such as power plants, water treatment facilities, and manufacturing. Shodan can help in identifying these systems.

1. Analyzing Results: Examine the search results to identify the types of devices, their locations, and any vulnerabilities they might have. This can include open ports, default credentials, and software versions.
2. Monitoring: Set up alerts in Shodan to notify you when new ICS devices are discovered or when there are changes to the existing devices. This is crucial for ongoing security monitoring.

Module 8:
Tracking Vehicles

Modern vehicles often have multiple internet-connected components, from infotainment systems to telematics units.

1. Search Queries: Use queries to find connected vehicle components. Examples include:
• “port:8080” “Vehicle Gateway” to find vehicle gateway devices.
• “product:Bosch” “Connected Vehicle” to find Bosch connected vehicle systems.
2. Analyzing Results: Identify the manufacturers, software versions, and possible vulnerabilities. Look for devices that expose sensitive information or control mechanisms.
3. Monitoring: Use Shodan alerts to keep track of new connected vehicle components appearing on the internet.

Module 9:
Tracking Honeypots

Honeypots are decoy systems set up to attract attackers and study their behavior. Identifying honeypots can help in understanding the threat landscape.

1. Search Queries: Specific queries can identify honeypots. For instance:
• “Honeyd” to find systems running the Honeyd honeypot software.
• “Kippo” for systems running the Kippo SSH honeypot.
2. Analyzing Results: Determine the types of honeypots, their configurations, and the attacks they are attracting. This information can be valuable for defensive strategies.
3. Monitoring: Set alerts to track new honeypots and changes in existing ones. This can help in adjusting your security measures based on the latest trends in attacker behavior.