The Gen AI Revolution: Transforming DDoS Attack Tools


In the past, launching a DDoS attack required a certain level of technical expertise. Hackers needed to understand network protocols, identify vulnerabilities, and coordinate the attack from multiple sources. However, with the advent of Gen AI, this landscape has drastically changed.

Gen AI has democratized the field of cyber-attacks. Today, even a novice hacker can launch a sophisticated DDoS attack. Gen AI provides user-friendly interfaces and automated processes that make it easy for anyone to create and deploy DDoS attack tools. This has led to a significant increase in the availability of these tools.

Figure 1: RipperSec Telegram profile
Figure 1: The Most Useful AI Tools according to:
Blue Manakin

Moreover, Gen AI has enhanced the sophistication of DDoS attack tools. These tools can now adapt to the target's defenses in real-time, making them more effective and harder to mitigate. They can change their attack patterns, switch between different types of attacks, and even disguise their traffic to evade detection.

In addition, Gen AI has improved the evasion techniques used by DDoS attack tools. One example is the MHDDoS attack tool that is available on GitHub. These tools can mimic legitimate traffic, making it difficult for traditional defense mechanisms to distinguish between legitimate and malicious traffic. This increases the chances of the attack going unnoticed and prolongs the duration of the attack.

Figure 2: MHDDoS attack tool available on GitHub
Figure 2: MHDDoS attack tool available on GitHub

Furthermore, Gen AI has reduced the time to market for DDoS attack tools. What used to take weeks or even months can now be accomplished in a matter of hours or days. This rapid development and deployment of DDoS attack tools have made it challenging for organizations to keep up with the evolving threat landscape.

As a result of these advancements, we are witnessing a massive surge in DDoS attacks, especially on the application layer. The ease of use, sophistication, and effectiveness of these tools have made Web DDoS attacks a preferred method for many cybercriminals. This trend is likely to continue as Gen AI continues to evolve and improve.

Figure 3: Number of Web DDoS attacks per quarter (source: Radware H1 2024 Global Threat Analysis Report)
Figure 3: Number of Web DDoS attacks per quarter (source: Radware H1 2024
Global Threat Analysis Report)
(source: Radware H1 2024 Global Threat Analysis Report)

In conclusion, Gen AI has revolutionized the way DDoS attack tools work. It has made these tools more accessible, sophisticated, and effective. However, this has also led to an unprecedented surge in Web DDoS attacks. Therefore, it is crucial for organizations to invest in advanced defense mechanisms that specialize in Web DDoS Tsunami attacks and can keep up with the evolving threat landscape, while preserving the legitimate user’s experience.

Eva Abergel

Eva Abergel

Eva is a Solution Expert in Radware’s security group. Her domain of expertise is DDoS protection, where she leads positioning, messaging and product launches. Prior to joining Radware, Eva led a Product Marketing and Sales Enablement team at a global robotics company acquired by Bosch and worked as an Engineer at Intel. Eva holds a B.Sc. degree in Mechatronics Engineering from Ariel University and an Entrepreneurship Development certificate from the York Entrepreneurship Development Institute of Canada.

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