Description
AI-Powered Phishing Detection with tensorflow and scikit-learn
This script analyzes URLs to determine if they are phishing attempts. It uses a trained ML model to classify websites.
Customization: Train the model with additional phishing and safe URLs for better accuracy.
Usage: Run python anti_phishing.py “http://suspicious-site.com” to check a URL.
Expected Results: The script returns “Safe” or “Phishing” based on analysis.
Idorenyin –
Before, we clicked links tentatively. anti_phishing.py stopped a credential-harvesting attempt during our trial, saving us from a major breach. Its AI analysis is fast and accurate, and it integrated into our workflow in minutes. The peace of mind is unmatched, and support is genuinely knowledgeable.
Lydia –
Before anti_phishing.py, our team spent hours manually vetting suspicious links, which was exhausting and error-prone. The AI-based URL analysis is remarkably accurate and has virtually eliminated that burden. Setup was seamless, performance is snappy, and their support team is genuinely knowledgeable. It’s become an essential, silent guardian for our daily workflow.
Iniobong –
Before, distinguishing subtle phishing links was a constant drain on our SOC team’s time. Integrating anti_phishing.py was seamless; its AI engine flags sophisticated threats we previously missed. It has drastically reduced our false positives, allowing us to focus on genuine incidents. The lightweight agent is barely noticeable, and their support team is incredibly responsive.
Suliyat –
Before, our team wasted hours manually vetting suspicious links, and a near-miss incident kept me up at night. Integrating anti_phishing.py changed everything. Its AI-based analysis feels almost prescient, flagging a sophisticated credential-harvesting site that our old filters missed entirely. It’s not just a tool; it’s peace of mind.