WAF DDoS-Akamai Test

This topic dives into various types of Distributed Denial of Service (DDoS) attacks, including volumetric attacks (e.g., UDP reflection, SYN floods), protocol attacks (e.g., DNS amplification), and application-layer attacks (e.g., HTTP floods, Slowloris). It also explores how WAF/DDoS solutions, such as Akamai Prolexic, mitigate these attacks using techniques like traffic throttling, challenge mechanisms (CAPTCHAs), and rate limiting. This section also emphasizes the difference between application-level DDoS and traditional volumetric attacks.

This section focuses on the configuration of WAF rules, including creating custom rules, rate limiting, bot management, and geo-blocking to tailor defenses according to specific organizational needs. It explores how to optimize WAF policies to balance security and usability, ensuring false positives are minimized while maintaining strong defenses. The goal is to ensure that policies are effective and that they adapt to the evolving nature of web application attacks.

This topic addresses the configuration and fine-tuning of DDoS mitigation policies. It includes setting attack thresholds, defining challenge mechanisms (such as CAPTCHA), and configuring traffic filtering strategies to block malicious traffic while allowing legitimate user access. Emphasis is placed on developing tailored strategies for specific types of attacks and ensuring minimal impact on service availability during high-traffic events.

This area tests the ability to analyze network traffic and WAF/DDoS logs to identify attack patterns, differentiate between legitimate and malicious traffic, and adjust the security measures accordingly. It involves using tools like Wireshark, tcpdump, and browser developer tools to detect unusual patterns and fine-tune defenses. The goal is to gain insight into attack methodology and refine detection and prevention measures.

Focuses on the vendor-specific tools provided by platforms like Akamai Prolexic and other WAF/DDoS solutions, covering how to configure and monitor these tools effectively. This includes understanding their dashboards, generating reports, fine-tuning settings, and troubleshooting common issues. Familiarity with how these platforms integrate with other security tools (e.g., SIEM, SOAR) will also be assessed.

This section covers the SSL/TLS protocols, including the SSL handshake, certificate management, and the process of SSL offloading and SSL interception within the context of WAF/DDoS. Understanding how to manage and protect HTTPS traffic is critical to maintaining both security and performance, especially when dealing with encrypted traffic in a WAF/DDoS solution.

Focuses on automating WAF/DDoS operations through the use of APIs, Python scripting, and tools like Ansible and Terraform. The goal is to automate policy deployment, incident response, and configuration management. This section explores how to reduce manual intervention, streamline deployment, and enhance the speed and accuracy of security measures.

This topic is focused on advanced incident response playbooks for DDoS attacks, including creating detailed response strategies for various DDoS scenarios. Emphasis is placed on handling complex, multi-vector DDoS attacks, coordination of mitigation steps, and the integration of WAF/DDoS response with other security systems (SIEM, SOAR). Key focus is on minimizing service downtime and ensuring rapid response.

Covers the integration of threat intelligence feeds into WAF/DDoS systems to proactively block emerging threats. This topic also involves the research of new DDoS attack vectors and web application vulnerabilities to stay ahead of new attack trends. Emphasis is placed on adapting WAF/DDoS protections based on real-time threat intelligence, ensuring that defenses are continually evolving.