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NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.
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The system is designed to upload phishing emails to a database where they are automatically analyzed and customized reports can be generated. UnMask was developed by ECIT Labs, Dept of Computer Science, FSU. The director of the Lab is Dr. Sudhir Aggarwal. UnMask has substantial on-line help features and should mainly be self-explanatory.
The Epic Web Honeypot Project aims to lure attackers using various types of web vulnerability scanners by tricking them into believing that they have found a vulnerability on a host.
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Start your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.