Agentic data science with the Data Agent Kit
cloud.google.com·7h ago
Security
Cloudflare Blog·26d ago·5 min read
When scanners miss the attack: how Cloudflare Client-Side Security protects storefronts
TL;DR
Cloudflare's Client-Side Security uses machine learning to detect hidden malicious JavaScript in online storefronts, uncovering eight previously undetected payloads. This proactive approach enhances security by identifying threats that traditional scanning tools miss.
✦ Why It Matters
Implement continuous monitoring of client-side scripts to catch hidden threats before they impact your storefront.
Key Takeaways
- Utilize machine learning to analyze JavaScript behavior.
- Monitor scripts continuously to catch dormant attacks.
- Integrate multiple models for improved detection accuracy.
- Regularly update security measures based on new threats.
How It Works
Cloudflare's GNN analyzes JavaScript as a graph, allowing it to understand complex interactions and detect malicious behavior without relying on known signatures. This method enables the identification of diverse attack strategies, including those that remain inactive until specific conditions are met.