Datasploit
Datasploit is an open source intelligence and data mining tool used for gathering information from public databases and organizing the data. It automates the process of footprinting and reconnaissance for penetration testing.
open-source
intelligence
data-mining
footprinting
reconnaissance
penetration-testing
Datasploit: Open Source Intelligence Tool
An open source intelligence and data mining tool used for gathering information from public databases and organizing the data, automating footprinting and reconnaissance for penetration testing.
What is Datasploit?
Datasploit is an open source data mining and reconnaissance automation tool used by security researchers and penetration testers. It collects information from various public data sources like WHOIS, DNS records, social media, search engines, etc. and aggregates the data to give insights about a target domain, IP address or organization.
Some key features of Datasploit are:
- Footprinting and reconnaissance automation
- Gather information from WHOIS, DNS, social media and other public data sources
- Create relationship maps to identify connections between people, domains, emails, etc.
- Perform subdomain enumeration and find associated domains/IPs
- GeoIP mapping to locate hosts and users
- Data visualization for attack surface analysis
- Integrations with Shodan, Censys and other services
- Organize, analyze and export the gathered intelligence
Overall, Datasploit aims to automate the first phase of penetration testing i.e. open source intelligence gathering and help security testers accelerate their target analysis and scoping. The organized data gives insights for planning further manual testing or social engineering attacks.
Datasploit Features
Features
- OSINT and data gathering
- Automated footprinting and reconnaissance
- Aggregates information from public sources
- Organizes and visualizes data
- Supports data mining
- Command line interface
Pricing
- Open Source
Pros
Automates tedious manual processes
Saves time
Provides useful insights from public data
Open source and free
Easy to use
Cons
Limited documentation
Steep learning curve
Potential legal/ethical issues with data gathering
Results require manual analysis and verification
Official Links
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