Carahsoft, in conjunction with its vendor partners, sponsors hundreds of events each year, ranging from webcasts and tradeshows to executive roundtables and technology forums.

Events and Resources

Events

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District 4 Labs

Dismantling a Global PhaaS Network with DARKSIDE


Event Date: March 18, 2026
Hosted By: District 4 Labs & Carahasoft
This webinar explored a real world investigation that led to the dismantling of BulletProftLink, once the world’s largest Phishing as a Service operation. During this session, investigators walked through how DARKSIDE was used to overcome hardened operational security and advance an investigation that had stalled using traditional OSINT and conventional law enforcement techniques. Starting from a single anonymous online handle, the case study demonstrated how compromised data and breached records can be leveraged to uncover hidden digital footprints, link aliases across underground ecosystems and ultimately attribute cybercriminal activity to a real world identity. 
 
Attendees of this webinar learned: 
  • How compromised PII and breached datasets from the Deep and Dark Web can be used to break through anonymized identities and hardened OPSEC 
  • How credential reuse, historical forum accounts and legacy identifiers enable rapid attribution 
  • How stealer log data can expose infrastructure, customers, and the broader criminal ecosystem behind Phishing as a Service operations 
  • How advanced compromised data analysis can compress months of investigative work into days 

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Resources

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Whitepaper

AWS Cloud Date Ingestion Patterns and Practices

Today, many organizations want to gain further insight using the vast amount of data they generate or have access to. They may want to perform reporting, analytics and/or machine learning on that data and further integrate the results with other applications across the organization. More and more organizations have found it challenging to meet their needs with traditional on-premises data analytics solutions and are looking at modernizing their data and analytics infrastructure by moving to cloud. However, before they can start analyzing the data, they need to ingest this data into cloud and use the right tool for the right job. This paper outlines the patterns, practices, and tools used by AWS customers when ingesting data into AWS Cloud using AWS services.


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