Research at Castle
Our research investigates security, fraud, and bot detection through the lens of deep dive analysis and data science.
Fingerprint harvesting in the bot ecosystem
Antoine Vastel
How bot ecosystems harvest and replay real browser fingerprints by instrumenting bot-adjacent sites and codes.
BotmasterLabs: Powering an Era of Spam
Antoine Vastel, Nicolas Sama, Naif Mehanna, Kurt Nistelberger
How XRumer and XEvil scaled forum spam by combining automation, CAPTCHA solving, and brittle fingerprinting.
Team
Open positions
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Mobile Engineer
Mobile SDKs, iOS/Android, performance, reliability
Build mobile SDKs that run reliably inside millions of devices. Focus on performance, stability, and resilience in adversarial environments.
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Detection Automation Engineer, Bot & Fraud Detection
Bot detection, fingerprinting, ML
Build detection systems that actually survive contact with attackers. Prioritize clarity, robustness, and long-term resilience over rule sprawl and complexity.
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Device Fingerprinting Engineer
Fingerprinting, ML
Build fingerprinting systems that survive spoofing, drift, and browser evolution. Focus on signals and matching logic that stay reliable under real-world conditions.
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