Sus Guru
Scan suspicious sites, check for code threats, and receive blacklist alerts.
What is Sus Guru?
Sus Guru is a security scanning tool designed to identify suspicious websites and detect code-based threats. It works by analysing sites for malicious code, phishing indicators, and other security risks, then alerts users when domains appear on known blacklists. The tool suits anyone who regularly visits unfamiliar websites, including security professionals, researchers, and everyday users who want an extra layer of protection. It operates on a freemium model, allowing basic scanning at no cost with optional paid features for more advanced threat detection.
Key Features
Website scanning
analyse URLs for suspicious characteristics and code vulnerabilities
Malicious code detection
identify embedded scripts and harmful code on web pages
Blacklist monitoring
receive alerts when scanned sites match known threat databases
Real-time threat assessment
get immediate feedback on website safety status
Freemium access
perform basic scans without payment; upgrade for detailed reports
Pros & Cons
Advantages
- Free tier provides essential scanning without registration or payment barriers
- Straightforward interface makes security checks accessible to non-technical users
- Blacklist alerts help users avoid sites that have been flagged by security communities
- Useful for vetting unfamiliar links before clicking through from emails or messages
Limitations
- Limited information available about detection accuracy rates or false positive frequency
- Freemium model may restrict advanced features, detailed reports, or scanning history to paid users
- Relies on blacklist data which may have occasional gaps or delays in updating
Use Cases
Checking suspicious links received via email or messaging apps before visiting
Researching competitor websites or unfamiliar domains for security risks
Verifying site safety before downloading files or entering credentials
Security monitoring for teams handling public-facing websites and user feedback
Student and researcher work involving exploration of unfamiliar online sources