Types of DDoS Attacks

Types of DDoS Attacks
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Distributed Denial of Service (DDoS) attacks are a serious threat to organizations of all sizes. These attacks can cripple an organization's network or website, resulting in significant financial losses and reputational damage. DDoS attacks are becoming more common and sophisticated, making it essential for businesses to understand the different types of DDoS attacks and develop effective defense strategies against them.

There are several types of DDoS attacks, each with its own unique characteristics and methods of execution. In this blog post, we will discuss the most common types of DDoS attacks and provide examples of each type.

Key Points

DDoS attacks are a serious threat to organizations of all sizes and can result in significant financial losses and reputational damage.
There are several types of DDoS attacks, including volume-based, protocol-based, application layer, low and slow, and DRDoS attacks.
Effective defense strategies against DDoS attacks include investing in robust security measures, conducting regular security audits and testing, and implementing content delivery networks to mitigate the risk of attacks.

Volume-Based Attacks

Volume-based attacks, also known as flood attacks, are the most common type of DDoS attack. These attacks overwhelm the target system by flooding it with a massive amount of traffic. The traffic can be generated from a botnet, which is a network of infected devices controlled by a hacker, or by amplifying the traffic using reflection or amplification techniques.

Examples of volume-based attacks include UDP flood and DNS amplification attacks. In UDP flood attacks, the attacker sends a large number of User Datagram Protocol (UDP) packets to the target system, consuming its resources and making it unavailable to legitimate users. In DNS amplification attacks, the attacker sends DNS queries to servers with a spoofed IP address, causing the servers to send a large response to the target, amplifying the attack.

Protocol-Based Attacks

Protocol-based attacks target vulnerabilities in the networking protocols used to establish and maintain connections between systems. These attacks consume server resources by exploiting the weaknesses in the way that the protocols function.

Examples of protocol-based attacks include SYN flood and Ping of Death. In SYN flood attacks, the attacker sends a large number of SYN packets with fake IP addresses to a server, causing it to become overwhelmed and unable to respond to legitimate requests. In Ping of Death attacks, the attacker sends large packets to a target, causing it to crash or become unresponsive.

Application Layer Attacks

Application layer attacks target the application layer of the network stack, which is responsible for processing user requests and generating responses. These attacks are often more sophisticated and difficult to detect than volume-based and protocol-based attacks.

Examples of application layer attacks include HTTP Flood and SQL Injection attacks. In HTTP Flood attacks, the attacker sends a large number of HTTP requests to a web server, consuming its resources and making it unavailable to legitimate users. In SQL Injection attacks, the attacker injects malicious SQL code into a website's input fields to gain access to sensitive data.

Low and Slow Attacks

Low and slow attacks are a type of application layer attack that are designed to exploit the limitations of server resources. These attacks consume server resources by sending a large number of requests that require a long time to process, tying up server resources and causing the system to crash or become unavailable.

Examples of low and slow attacks include Slowloris and RUDY (R-U-Dead-Yet). In Slowloris attacks, the attacker sends incomplete HTTP requests, making the server wait for the request to complete, tying up server resources. In RUDY attacks, the attacker sends a large number of POST requests with a slow body, consuming server resources.

Distributed Reflection Denial of Service (DRDoS) Attacks

DRDoS attacks are a variation of volumetric attacks that exploit the inherent design of certain network protocols to amplify the scale of an attack. This attack involves sending a request to a vulnerable third-party server with a spoofed IP address that appears to be the target. The third-party server then responds to the spoofed request, sending a much larger response to the target, ampling the attack.

Examples of DRDoS attacks include NTP amplification and Memcached amplification attacks. In NTP amplification attacks, the attacker sends a small request to an NTP server with a spoofed IP address, causing the server to send a large response to the target, amplifying the attack. In Memcached amplification attacks, the attacker sends a small request to a Memcached server with a spoofed IP address, causing the server to send a large response to the target, amplifying the attack.

Security Measures For Businesses

To prevent DDoS attacks, businesses can implement a range of security measures. One of the most important steps is to deploy a web application firewall (WAF) that can detect and block malicious traffic before it reaches the web server. A WAF is a specialized firewall that filters and monitors incoming HTTP/HTTPS traffic to a web application. It can block malicious traffic, such as SQL injections or cross-site scripting (XSS) attacks, before it reaches the web server. Examples of WAF solutions include Cloudflare, Imperva, and F5 Networks.

Additionally, businesses can use a content delivery network (CDN) to distribute the load of incoming traffic across multiple servers. This can help prevent DDoS attacks by reducing the load on the main web server. A CDN is a distributed network of servers that can cache and serve static content to users from the server closest to them. Examples of CDN providers include Cloudflare, Akamai, and Amazon CloudFront.

Another useful measure is to employ intrusion detection and prevention systems (IDPS) that can detect suspicious activity and block it in real-time. An IDPS can monitor network traffic and detect suspicious activity, such as large amounts of traffic from a single IP address or abnormal traffic patterns. It can then block or mitigate the attack in real-time. Examples of IDPS solutions include Snort, Suricata, and Palo Alto Networks.

Businesses can also implement rate limiting on incoming traffic to prevent DDoS attacks. Rate limiting is a technique that limits the number of requests that can be sent from a single IP address or user in a given time period. This can prevent DDoS attacks that rely on sending large amounts of traffic from a single source.

Finally, filtering out packets with spoofed IP addresses can help prevent DDoS attacks that rely on this technique. Spoofing is a technique used by attackers to hide their true IP address by forging the source IP address of their packets. Filtering out packets with spoofed IP addresses can be done using tools such as uRPF (Unicast Reverse Path Forwarding) or BCP38 (Best Current Practice 38).

By implementing these and other security measures, businesses can significantly reduce the risk of DDoS attacks and ensure the continued availability and security of their online services.


In conclusion, DDoS attacks are a serious threat that can cause significant harm to businesses and organizations. Understanding the different types of DDoS attacks and implementing effective defense strategies is crucial for protecting against these attacks. Businesses should invest in robust security measures, such as firewalls, intrusion detection systems, and content delivery networks, to mitigate the risk of DDoS attacks. Regular security audits and testing can also help identify vulnerabilities in the network and application layer, ensuring that the organization is well-prepared to prevent and mitigate DDoS attacks.