Scam Sentry
Reports and detects scams via crowd intelligence, semantic analysis, pattern recognition & real-time blacklists.
Scam Sentry is engineered to programmatically identify scams and fraudulent activity using advanced algorithms. Analysis is entirely automated and operates without storing your browsing activity.
Users can actively contribute valuable insights on emerging threats by reporting scams. Reported scams are verified and forwarded to the host and registrar, contributing to swift takedown efforts.
Designed with privacy in mind, Scam Sentry does not save any part of browsing history unless you choose to provide information with a scam report. This approach balances robust scam detection with a commitment to keeping your data private and secure.
Detection uses a hybrid approach, including crowd intelligence, semantic analysis, pattern recognition and real-time blacklists to detect online threats such as phishing scams, fraudulent stores, fake system messages, and malicious domains. Seamless integration to Chrome uses low resources in the background without interrupting your browsing experience.
FEATURES
› Leverages crowd intelligence, semantic analysis, pattern recognition, and real-time blacklists
› Protects against phishing scams and fraudulent stores
› Identifies fake system messages and malicious domains
› Accepts scam reports with an option to include a screen capture
› Runs in the background with minimal resource usage
