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Critical Remote Code Execution Vulnerability (CVE-2021-44228) In Apache Log4j
Our platforms enforce strict inspections and undergo rigorous security hardening to ensure there is no risk of high-severity vulnerabilities.
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Preventing Slow HTTP Attacks
Nexusguard’s highly customizable Slow Rate Policy allows customization of HTTP header and body parameters so that slow HTTP attacks never fly under the radar.
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Defending Against RangeAmp Attacks
Nexusguard’s mitigation methodology involves filtering and stringent rule checking techniques that inspect all HTTP requests so that malicious or invalid requests never reach the backend server.
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OpenSSL Fixes Two High-Severity Vulnerabilities
Our platforms enforce strict inspections on SSL renegotiation messages and CA certificate verification, and undergo rigorous security hardening to ensure there is no risk of high-severity vulnerabilities.
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Smart Route: Optimizing Geolocation Routing
Offered as an option with Nexusguard’s Application Protection (AP) service, Smart Route enriches the standard AP offering through its ability to optimize traffic routes according to the geolocation of website users, while providing optimal user experience at the same time.
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Hardening Web Applications Using Secure HTTP Headers
Nexusguard’s Application Protection now provides its users the ability to secure their web applications via our Web Application Firewall (WAF) feature. Check out our blog to find out how implementing Secure Headers effectively helps secure modern browsers.
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Validation Of HTTP/S Requests Using CSRF Tokens
Cross-site Request Forgery, aka. CSRF, Sea Surf, or XSRF, is an attack whereby cybercriminals trick authenticated users into submitting a request to a web application against which they are currently authenticated. Our highly customizable cloud-based WAF assures protection of web applications against common web exploits that compromise security.
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Smart Mode: DDoS Attack Detection Using Machine Learning
The advances in artificial intelligence (AI) in recent years has given rise to the application of Machine Learning models to enhance DDoS attack detection. Nexusguard’s Smart Mode detection uses Machine Learning techniques to predict whether network traffic coming from a source is legitimate or part of a malicious DDoS attack.
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