The document provides an overview of common DDoS attack types including SYN floods, UDP floods, ICMP floods, and HTTP floods. It describes how these attacks work to overwhelm servers and networks with traffic to cause denial of service. The document also covers reflection DDoS attacks using protocols like DNS, NTP, and Memcached to amplify the traffic and discusses recommendations for mitigating these attacks.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This is a presentation i made about Denial of Service or a Distributed Denial of Service (DoS / DDoS) and the latest methods used to crash anything online and the future of such attacks which can disrupt the whole internet . Such attacks which are in TB's and can be launched from just single computer. And, there is not much that can be done to prevent them.
Using the Web or another research tool, search for alternative means.pdffms12345
Using namespace std;
The expansion of a steel bridge as it heated to a final Celsius temperature, Tf, from an initial
temperature T0 , can be approximated using the following formula:
Increase in length= a* L*(Tf-T0). Where a is the coefficient of expansion that is for steel is
11.7e-6, L is the length of bridge at temperature T0.
Using this formula, write a C++ program that displays a table of expansion length for a steel
bridge that’s 7365 meters long at 0 degrees Celsius, as the temperature increases to 40 degrees in
5 degree increments.
Solution
#include
using namespace std;
float Length(int Tf)
{
const float a = 11.7E-6;
const float L = 7365;
const float To=0;
return a*L*(Tf-To);
}
int main(int argc, char const *argv[])
{
cout<<\"Intitial Temperature\\tFinal Temperature\\tIncreased Length\ \";
for (int i=1;i<=8;i++)
cout<<0<<\" degrees\\t\\t\"<.
This document provides an overview of distributed denial of service (DDoS) attacks including:
- Common types of DDoS attacks like UDP floods, SYN floods, DNS floods and HTTP floods and how they work to overwhelm servers.
- How DDoS attacks are evolving to larger sizes and more complex botnets.
- Methods for mitigating DDoS attacks including black hole routing, rate limiting, web application firewalls, anycast networks and cloud-based DDoS protection services.
- A real example of mitigating a massive 400Gbps DDoS attack and the largest attacks seen to date.
A ROBUST MECHANISM FOR DEFENDING DISTRIBUTED DENIAL OF SERVICE ATTACKS ON WEB...IJNSA Journal
Distributed Denial of Service (DDoS) attacks have emerged as a popular means of causing mass targeted service disruptions, often for extended periods of time. The relative ease and low costs of launching such attacks, supplemented by the current inadequate sate of any viable defense mechanism, have made them one of the top threats to the Internet community today. Since the increasing popularity of web-based applications has led to several critical services being provided over the Internet, it is imperative to monitor the network traffic so as to prevent malicious attackers from depleting the resources of the network and denying services to legitimate users. This paper first presents a brief discussion on some of the important types of DDoS attacks that currently exist and some existing mechanisms to combat these attacks. It then points out the major drawbacks of the currently existing defense mechanisms and proposes a new mechanism for protecting a web-server against a DDoS attack. In the proposed mechanism, incoming traffic to the server is continuously monitored and any abnormal rise in the inbound traffic is immediately detected. The detection algorithm is based on a statistical analysis of the inbound traffic on the server and a robust hypothesis testing framework. While the detection process is on, the sessions from the legitimate sources are not disrupted and the load on the server is restored to the normal level by blocking the traffic from the attacking sources. To cater to different scenarios, the detection algorithm has various modules with varying level of computational and memory overheads for
their execution. While the approximate modules are fast in detection and involve less overhead, they provide lower level of detection accuracy. The accurate modules employ complex detection logic and hence involve more overhead for their execution. However, they have very high detection accuracy. Simulations carried out on the proposed mechanism have produced results that demonstrate effectiveness of the proposed defense mechanism against DDoS attacks.
A Denial-of-Service (DoS) attack shuts down a machine or a network to make it inaccessible to its intended users. This PPT sheds light upon this kind of a cyberattack and its types, to increase awareness related to the threat that it poses to web servers and applications.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This is a presentation i made about Denial of Service or a Distributed Denial of Service (DoS / DDoS) and the latest methods used to crash anything online and the future of such attacks which can disrupt the whole internet . Such attacks which are in TB's and can be launched from just single computer. And, there is not much that can be done to prevent them.
Using the Web or another research tool, search for alternative means.pdffms12345
Using namespace std;
The expansion of a steel bridge as it heated to a final Celsius temperature, Tf, from an initial
temperature T0 , can be approximated using the following formula:
Increase in length= a* L*(Tf-T0). Where a is the coefficient of expansion that is for steel is
11.7e-6, L is the length of bridge at temperature T0.
Using this formula, write a C++ program that displays a table of expansion length for a steel
bridge that’s 7365 meters long at 0 degrees Celsius, as the temperature increases to 40 degrees in
5 degree increments.
Solution
#include
using namespace std;
float Length(int Tf)
{
const float a = 11.7E-6;
const float L = 7365;
const float To=0;
return a*L*(Tf-To);
}
int main(int argc, char const *argv[])
{
cout<<\"Intitial Temperature\\tFinal Temperature\\tIncreased Length\ \";
for (int i=1;i<=8;i++)
cout<<0<<\" degrees\\t\\t\"<.
This document provides an overview of distributed denial of service (DDoS) attacks including:
- Common types of DDoS attacks like UDP floods, SYN floods, DNS floods and HTTP floods and how they work to overwhelm servers.
- How DDoS attacks are evolving to larger sizes and more complex botnets.
- Methods for mitigating DDoS attacks including black hole routing, rate limiting, web application firewalls, anycast networks and cloud-based DDoS protection services.
- A real example of mitigating a massive 400Gbps DDoS attack and the largest attacks seen to date.
A ROBUST MECHANISM FOR DEFENDING DISTRIBUTED DENIAL OF SERVICE ATTACKS ON WEB...IJNSA Journal
Distributed Denial of Service (DDoS) attacks have emerged as a popular means of causing mass targeted service disruptions, often for extended periods of time. The relative ease and low costs of launching such attacks, supplemented by the current inadequate sate of any viable defense mechanism, have made them one of the top threats to the Internet community today. Since the increasing popularity of web-based applications has led to several critical services being provided over the Internet, it is imperative to monitor the network traffic so as to prevent malicious attackers from depleting the resources of the network and denying services to legitimate users. This paper first presents a brief discussion on some of the important types of DDoS attacks that currently exist and some existing mechanisms to combat these attacks. It then points out the major drawbacks of the currently existing defense mechanisms and proposes a new mechanism for protecting a web-server against a DDoS attack. In the proposed mechanism, incoming traffic to the server is continuously monitored and any abnormal rise in the inbound traffic is immediately detected. The detection algorithm is based on a statistical analysis of the inbound traffic on the server and a robust hypothesis testing framework. While the detection process is on, the sessions from the legitimate sources are not disrupted and the load on the server is restored to the normal level by blocking the traffic from the attacking sources. To cater to different scenarios, the detection algorithm has various modules with varying level of computational and memory overheads for
their execution. While the approximate modules are fast in detection and involve less overhead, they provide lower level of detection accuracy. The accurate modules employ complex detection logic and hence involve more overhead for their execution. However, they have very high detection accuracy. Simulations carried out on the proposed mechanism have produced results that demonstrate effectiveness of the proposed defense mechanism against DDoS attacks.
A Denial-of-Service (DoS) attack shuts down a machine or a network to make it inaccessible to its intended users. This PPT sheds light upon this kind of a cyberattack and its types, to increase awareness related to the threat that it poses to web servers and applications.
DISTRIBUTED DENIAL OF SERVICE (DDOS) ATTACKS DETECTION MECHANISMijcseit
Pushback is a mechanism for defending against Distributed Denial-of-Service (DDoS) attacks. DDoS attacks are treated as a congestion-control problem, but because most such congestion is caused by malicious hosts not obeying traditional end-to-end congestion control, the problem must be handled by the routers. Functionality is added to each router to detect and preferentially drop packets that probably belong to an attack. Upstream routers are also notified to drop such packets in order that the router’s resources be used to route legitimate traffic hence term pushback. Client puzzles have been advocated as a
promising countermeasure to DoS attacks in the recent years. In order to identify the attackers, the victim server issues a puzzle to the client that sent the traffic. When the client is able to solve the puzzle, it is assumed to be authentic and the traffic from it is allowed into the server. If the victim suspects that the
puzzles are solved by most of the clients, it increases the complexity of the puzzles. This puzzle solving technique allows the traversal of the attack traffic throughout the intermediate routers before reaching the destination. In order to attain the advantages of both pushback and puzzle solving techniques, a hybrid scheme called Router based Pushback technique, which involves both the techniques to solve the problem of DDoS attacks is proposed. In this proposal, the puzzle solving mechanism is pushed back to the core routers rather than having at the victim. The router based client puzzle mechanism checks the host system whether it is legitimate or not by providing a puzzle to be solved by the suspected host.
DISTRIBUTED DENIAL OF SERVICE (DDOS) ATTACKS DETECTION MECHANISM ijcseit
Pushback is a mechanism for defending against Distributed Denial-of-Service (DDoS) attacks. DDoS
attacks are treated as a congestion-control problem, but because most such congestion is caused by
malicious hosts not obeying traditional end-to-end congestion control, the problem must be handled by the
routers. Functionality is added to each router to detect and preferentially drop packets that probably
belong to an attack. Upstream routers are also notified to drop such packets in order that the router’s
resources be used to route legitimate traffic hence term pushback. Client puzzles have been advocated as a
promising countermeasure to DoS attacks in the recent years. In order to identify the attackers, the victim
server issues a puzzle to the client that sent the traffic. When the client is able to solve the puzzle, it is
assumed to be authentic and the traffic from it is allowed into the server. If the victim suspects that the
puzzles are solved by most of the clients, it increases the complexity of the puzzles. This puzzle solving
technique allows the traversal of the attack traffic throughout the intermediate routers before reaching the
destination. In order to attain the advantages of both pushback and puzzle solving techniques, a hybrid
scheme called Router based Pushback technique, which involves both the techniques to solve the problem
of DDoS attacks is proposed. In this proposal, the puzzle solving mechanism is pushed back to the core
routers rather than having at the victim. The router based client puzzle mechanism checks the host system
whether it is legitimate or not by providing a puzzle to be solved by the suspected host.
Detection of application layer ddos attack using hidden semi markov model (20...Mumbai Academisc
This document discusses a proposed scheme to detect application layer distributed denial of service (App-DDoS) attacks using hidden semi-Markov models. It begins by describing how current techniques have difficulty distinguishing App-DDoS attacks from normal flash crowds based on traffic characteristics alone. The proposed scheme aims to capture spatial-temporal patterns during normal flash crowds using an Access Matrix, and then uses a hidden semi-Markov model to analyze dynamics of the Access Matrix and detect anomalies indicating potential App-DDoS attacks. It argues this approach can more effectively identify if traffic surges are caused by attackers or normal users compared to existing detection systems.
IRJET- DDOS Detection System using C4.5 Decision Tree AlgorithmIRJET Journal
This document proposes a machine learning model using the C4.5 decision tree algorithm to detect DDOS attacks. It trains the model on DDOS attack samples from the CICIDS2017 dataset, dividing the samples into training and test data. The Weka data mining tool is used to build the model with attribute filtering and 10-fold cross-validation. The trained model is then validated on the test data to accurately differentiate between benign and DDOS flooding traffic. This combined signature-based and anomaly-based detection approach can effectively detect complex DDOS attacks.
This document provides a summary of strategies for preventing distributed denial of service (DDoS) attacks. It discusses both preventive defenses, such as securing systems against infection by patching vulnerabilities and monitoring for anomalous behavior, and reactive defenses, such as filtering spoofed traffic and increasing available resources. The key challenges are that preventive measures cannot always block all attacks and reactive strategies like filtering large traffic volumes can be expensive to implement effectively. Overall, the document outlines an approach to DDoS prevention through reducing infection risks and reacting to detected attacks.
DDoS attacks make headlines everyday, but how do they work and how can you defend against them? DDoS attacks can be high volume UDP traffic floods, SYN floods, DNS amplification, or Layer 7 HTTP attacks. Understanding how to protect yourself from DDoS is critical to doing business on the internet today. Suzanne Aldrich, a lead Solutions Engineer at Cloudflare, will cover how these attacks work, what is being targeted by the attackers, and how you can protect against the different attack types. She will cap the session with the rise in IoT attacks, and expectations for the future of web security.
https://2017.badcamp.net/session/devops-performance-security-privacy/beginner/anatomy-ddos-attack
Unlimited Attempts AllowedDetailsVirtual Labs Perpetrators of D.docxjolleybendicty
Unlimited Attempts AllowedDetails
Virtual Labs: Perpetrators of DoS
Consider what you have learned so far about Denial of Service as you review the objectives and scenario below. Complete the lab that follows on EC-Council's website using the link below.
Objective
Denial of Service (DoS) is an attack on a computer or network that prevents legitimate use of its resources. In a DoS attack, attackers flood a victim’s system with illegitimate service requests or traffic to overload its resources and prevent it from performing intended tasks.
The objective of this lab is to help students learn to perform Denial of Service attacks and test a network for DoS flaws. In this lab, you will:
Perform a DoS attack by sending a large number of SYN packets continuously
Perform an HTTP flooding attack
Perform a DDoS attack
Detect and analyze DoS attack traffic
Scenario
In computing, a denial-of-service (DoS) attack is an attempt to make a machine or network resource unavailable to its intended users. Although the means, motives, and targets of a DoS attack may vary, it generally consists of the efforts of one or more people to temporarily or indefinitely interrupt or suspend services of a host connected to the Internet.
Perpetrators of DoS attacks typically target sites or services hosted on high-profile web servers such as banks, credit card payment gateways, and even root nameservers.
One common method of attack involves saturating the target machine with external communications requests so that it cannot respond to legitimate traffic, or it responds so slowly as to be rendered essentially unavailable. Such attacks usually lead to a server overload. DoS attacks can essentially disable your computer or your network. DoS attacks can be lucrative for criminals; recent attacks have shown that DoS attacks are a way for cybercriminals to profit.
As an expert Ethical Hacker or Pen Tester, you should have sound knowledge of Denial of Service and Distributed Denial of Service attacks in order to detect and neutralize attack handlers and mitigate such attacks. The labs in this module will give you a hands-on experience in auditing a network against DoD and DDoS attacks.
Week 8 Lab Assignment 1: Auditing a Network against DoD and DDoS attacks.
Lab Task:
The objective of this lab is to help students learn how to perform a DDoS attack—in this case, HTTP Flooding.
Lab Description:
A distributed denial of service (DDoS) attack is a more sophisticated form of DoS attack in which, in some cases, it is difficult to trace the attackers. A DDoS attack is a large-scale, coordinated attack on the availability of services on a victim’s system or network, launched indirectly through many compromised computers on the Internet.
A DDoS attack uses many computers to launch a coordinated DoS attack against one or more targets. Using client/server technology, the perpetrator is able to multiply the effectiveness of the DoS significantly by harnessing the resour.
The document discusses distributed denial of service (DDoS) attacks, including how they work, common tools and methods used, and examples of recent large-scale DDoS attacks. It provides details on how botnets are used to overwhelm websites and infrastructure with malicious traffic. Specific DDoS attack types like UDP floods, SYN floods, and reflection attacks are outlined. Recent large attacks are described, such as those targeting bitcoin exchanges, social trading platforms, and Hong Kong voting sites ahead of a civil referendum.
Session for InfoSecGirls - New age threat management vol 1InfoSec Girls
This document discusses denial of service (DoS) and distributed denial of service (DDoS) attacks. It defines DoS and DDoS, describes common types like volumetric and application layer attacks. It also outlines tools used to carry out DDoS attacks and methods to protect against attacks, including configuring web servers and reverse proxies, using firewalls, and techniques from web application security firms.
The document provides information about different types of DDoS attacks including DoS, DDoS, DNS reflection, SYN reflection, SMURF, UDP flood, SNMP, NTP, HTTP GET, and HTTP POST attacks. It describes how each attack works and overloads the target system with traffic. Mitigation techniques are also outlined, such as firewalls, rate limiting, authentication, and modifying server configurations.
An Ultimate Guide to DDos Attacks: Detection, Prevention and MitigationTechApprise
In this ultimate guide, you will learn everything about the Distributed Denial of Service (DDoS) Attacks including What are DDoS attacks, Types of DDos Attack, Major Causes, How to Detect DDoS Attacks, and How to Prevent/Mitigate a DDoS Attack and much more.
A survey of trends in massive ddos attacks and cloud based mitigationsIJNSA Journal
Distributed Denial of Service (DDoS) attacks today
have been amplified into gigabits volume with
broadband Internet access; at the same time, the us
e of more powerful botnets and common DDoS
mitigation and protection solutions implemented in
small and large organizations’ networks and servers
are no longer effective. Our survey provides an in-
depth study on the current largest DNS reflection a
ttack
with more than 300 Gbps on Spamhaus.org. We have re
viewed and analysed the current most popular
DDoS attack types that are launched by the hacktivi
sts. Lastly, effective cloud-based DDoS mitigation
and
protection techniques proposed by both academic res
earchers and large commercial cloud-based DDoS
service providers are discussed
A survey of trends in massive ddos attacks and cloud based mitigationsIJNSA Journal
Distributed Denial of Service (DDoS) attacks today
have been amplified into gigabits volume with
broadband Internet access; at the same time, the us
e of more powerful botnets and common DDoS
mitigation and protection solutions implemented in
small and large organizations’ networks and servers
are no longer effective. Our survey provides an in-
depth study on the current largest DNS reflection a
ttack
with more than 300 Gbps on Spamhaus.org. We have re
viewed and analysed the current most popular
DDoS attack types that are launched by the hacktivi
sts. Lastly, effective cloud-based DDoS mitigation
and
protection techniques proposed by both academic res
earchers and large commercial cloud-based DDoS
service providers are discussed
A SURVEY OF TRENDS IN MASSIVE DDOS ATTACKS AND CLOUD-BASED MITIGATIONSIJNSA Journal
Distributed Denial of Service (DDoS) attacks today have been amplified into gigabits volume with broadband Internet access; at the same time, the use of more powerful botnets and common DDoS mitigation and protection solutions implemented in small and large organizations’ networks and servers are no longer effective. Our survey provides an in-depth study on the current largest DNS reflection attack with more than 300 Gbps on Spamhaus.org. We have reviewed and analysed the current most popular DDoS attack types that are launched by the hacktivists. Lastly, effective cloud-based DDoS mitigation and protection techniques proposed by both academic researchers and large commercial cloud-based DDoS service providers are discussed.
Know All About Mitigate TCP Syn Flood Attacks. It is a cyberattack so you need to fix this issue to secure your device & data security using this method. To know more visit https://bit.ly/3czNIcM
DDoS attacks work by using botnets to overwhelm a target site with large amounts of traffic, making it unavailable to legitimate users. They can have major business impacts by disrupting systems, damaging resources, and costing companies millions per day of downtime. While prevention is challenging due to distributed nature of attacks and internet, companies can mitigate risks by having adequate bandwidth, deploying DDoS defense systems, monitoring traffic, and creating incident response plans.
This document discusses several types of denial of service (DoS) attacks, including distributed denial of service (DDoS) attacks. It describes how a DDoS attack uses multiple compromised systems or "zombies" to launch a large-scale attack. It also explains specific DoS attack methods like Smurf attacks, which flood a target with ping replies by spoofing the target's IP address, and SYN flood attacks, which exploit the TCP three-way handshake process to overwhelm a server with half-open connections. The document provides technical details on how various DoS attacks work to crash systems or make networks and services unavailable.
Enhancing the impregnability of linux serversIJNSA Journal
Worldwide IT industry is experiencing a rapid shift towards Service Oriented Architecture (SOA). As a
response to the current trend, all the IT firms are adopting business models such as cloud based services
which rely on reliable and highly available server platforms. Linux servers are known to be highly
secure. Network security thus becomes a major concern to all IT organizations offering cloud based
services. The fundamental form of attack on network security is Denial of Service. This paper focuses on
fortifying the Linux server defence mechanisms resulting in an increase in reliability and availability of
services offered by the Linux server platforms. To meet this emerging scenario, most of the organizations
are adopting business models such as cloud computing that are dependant on reliable server platforms.
Linux servers are well ahead of other server platforms in terms of security. This brings network security
to the forefront of major concerns to an organization. The most common form of attacks is a Denial of
Service attack. This paper focuses on mechanisms to detect and immunize Linux servers from DoS .
ENHANCING THE IMPREGNABILITY OF LINUX SERVERSIJNSA Journal
Worldwide IT industry is experiencing a rapid shift towards Service Oriented Architecture (SOA). As a response to the current trend, all the IT firms are adopting business models such as cloud based services which rely on reliable and highly available server platforms. Linux servers are known to be highly secure. Network security thus becomes a major concern to all IT organizations offering cloud based services. The fundamental form of attack on network security is Denial of Service. This paper focuses on fortifying the Linux server defence mechanisms resulting in an increase in reliability and availability of services offered by the Linux server platforms. To meet this emerging scenario, most of the organizations are adopting business models such as cloud computing that are dependant on reliable server platforms. Linux servers are well ahead of other server platforms in terms of security. This brings network security to the forefront of major concerns to an organization. The most common form of attacks is a Denial of Service attack. This paper focuses on mechanisms to detect and immunize Linux servers from DoS .
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
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DISTRIBUTED DENIAL OF SERVICE (DDOS) ATTACKS DETECTION MECHANISMijcseit
Pushback is a mechanism for defending against Distributed Denial-of-Service (DDoS) attacks. DDoS attacks are treated as a congestion-control problem, but because most such congestion is caused by malicious hosts not obeying traditional end-to-end congestion control, the problem must be handled by the routers. Functionality is added to each router to detect and preferentially drop packets that probably belong to an attack. Upstream routers are also notified to drop such packets in order that the router’s resources be used to route legitimate traffic hence term pushback. Client puzzles have been advocated as a
promising countermeasure to DoS attacks in the recent years. In order to identify the attackers, the victim server issues a puzzle to the client that sent the traffic. When the client is able to solve the puzzle, it is assumed to be authentic and the traffic from it is allowed into the server. If the victim suspects that the
puzzles are solved by most of the clients, it increases the complexity of the puzzles. This puzzle solving technique allows the traversal of the attack traffic throughout the intermediate routers before reaching the destination. In order to attain the advantages of both pushback and puzzle solving techniques, a hybrid scheme called Router based Pushback technique, which involves both the techniques to solve the problem of DDoS attacks is proposed. In this proposal, the puzzle solving mechanism is pushed back to the core routers rather than having at the victim. The router based client puzzle mechanism checks the host system whether it is legitimate or not by providing a puzzle to be solved by the suspected host.
DISTRIBUTED DENIAL OF SERVICE (DDOS) ATTACKS DETECTION MECHANISM ijcseit
Pushback is a mechanism for defending against Distributed Denial-of-Service (DDoS) attacks. DDoS
attacks are treated as a congestion-control problem, but because most such congestion is caused by
malicious hosts not obeying traditional end-to-end congestion control, the problem must be handled by the
routers. Functionality is added to each router to detect and preferentially drop packets that probably
belong to an attack. Upstream routers are also notified to drop such packets in order that the router’s
resources be used to route legitimate traffic hence term pushback. Client puzzles have been advocated as a
promising countermeasure to DoS attacks in the recent years. In order to identify the attackers, the victim
server issues a puzzle to the client that sent the traffic. When the client is able to solve the puzzle, it is
assumed to be authentic and the traffic from it is allowed into the server. If the victim suspects that the
puzzles are solved by most of the clients, it increases the complexity of the puzzles. This puzzle solving
technique allows the traversal of the attack traffic throughout the intermediate routers before reaching the
destination. In order to attain the advantages of both pushback and puzzle solving techniques, a hybrid
scheme called Router based Pushback technique, which involves both the techniques to solve the problem
of DDoS attacks is proposed. In this proposal, the puzzle solving mechanism is pushed back to the core
routers rather than having at the victim. The router based client puzzle mechanism checks the host system
whether it is legitimate or not by providing a puzzle to be solved by the suspected host.
Detection of application layer ddos attack using hidden semi markov model (20...Mumbai Academisc
This document discusses a proposed scheme to detect application layer distributed denial of service (App-DDoS) attacks using hidden semi-Markov models. It begins by describing how current techniques have difficulty distinguishing App-DDoS attacks from normal flash crowds based on traffic characteristics alone. The proposed scheme aims to capture spatial-temporal patterns during normal flash crowds using an Access Matrix, and then uses a hidden semi-Markov model to analyze dynamics of the Access Matrix and detect anomalies indicating potential App-DDoS attacks. It argues this approach can more effectively identify if traffic surges are caused by attackers or normal users compared to existing detection systems.
IRJET- DDOS Detection System using C4.5 Decision Tree AlgorithmIRJET Journal
This document proposes a machine learning model using the C4.5 decision tree algorithm to detect DDOS attacks. It trains the model on DDOS attack samples from the CICIDS2017 dataset, dividing the samples into training and test data. The Weka data mining tool is used to build the model with attribute filtering and 10-fold cross-validation. The trained model is then validated on the test data to accurately differentiate between benign and DDOS flooding traffic. This combined signature-based and anomaly-based detection approach can effectively detect complex DDOS attacks.
This document provides a summary of strategies for preventing distributed denial of service (DDoS) attacks. It discusses both preventive defenses, such as securing systems against infection by patching vulnerabilities and monitoring for anomalous behavior, and reactive defenses, such as filtering spoofed traffic and increasing available resources. The key challenges are that preventive measures cannot always block all attacks and reactive strategies like filtering large traffic volumes can be expensive to implement effectively. Overall, the document outlines an approach to DDoS prevention through reducing infection risks and reacting to detected attacks.
DDoS attacks make headlines everyday, but how do they work and how can you defend against them? DDoS attacks can be high volume UDP traffic floods, SYN floods, DNS amplification, or Layer 7 HTTP attacks. Understanding how to protect yourself from DDoS is critical to doing business on the internet today. Suzanne Aldrich, a lead Solutions Engineer at Cloudflare, will cover how these attacks work, what is being targeted by the attackers, and how you can protect against the different attack types. She will cap the session with the rise in IoT attacks, and expectations for the future of web security.
https://2017.badcamp.net/session/devops-performance-security-privacy/beginner/anatomy-ddos-attack
Unlimited Attempts AllowedDetailsVirtual Labs Perpetrators of D.docxjolleybendicty
Unlimited Attempts AllowedDetails
Virtual Labs: Perpetrators of DoS
Consider what you have learned so far about Denial of Service as you review the objectives and scenario below. Complete the lab that follows on EC-Council's website using the link below.
Objective
Denial of Service (DoS) is an attack on a computer or network that prevents legitimate use of its resources. In a DoS attack, attackers flood a victim’s system with illegitimate service requests or traffic to overload its resources and prevent it from performing intended tasks.
The objective of this lab is to help students learn to perform Denial of Service attacks and test a network for DoS flaws. In this lab, you will:
Perform a DoS attack by sending a large number of SYN packets continuously
Perform an HTTP flooding attack
Perform a DDoS attack
Detect and analyze DoS attack traffic
Scenario
In computing, a denial-of-service (DoS) attack is an attempt to make a machine or network resource unavailable to its intended users. Although the means, motives, and targets of a DoS attack may vary, it generally consists of the efforts of one or more people to temporarily or indefinitely interrupt or suspend services of a host connected to the Internet.
Perpetrators of DoS attacks typically target sites or services hosted on high-profile web servers such as banks, credit card payment gateways, and even root nameservers.
One common method of attack involves saturating the target machine with external communications requests so that it cannot respond to legitimate traffic, or it responds so slowly as to be rendered essentially unavailable. Such attacks usually lead to a server overload. DoS attacks can essentially disable your computer or your network. DoS attacks can be lucrative for criminals; recent attacks have shown that DoS attacks are a way for cybercriminals to profit.
As an expert Ethical Hacker or Pen Tester, you should have sound knowledge of Denial of Service and Distributed Denial of Service attacks in order to detect and neutralize attack handlers and mitigate such attacks. The labs in this module will give you a hands-on experience in auditing a network against DoD and DDoS attacks.
Week 8 Lab Assignment 1: Auditing a Network against DoD and DDoS attacks.
Lab Task:
The objective of this lab is to help students learn how to perform a DDoS attack—in this case, HTTP Flooding.
Lab Description:
A distributed denial of service (DDoS) attack is a more sophisticated form of DoS attack in which, in some cases, it is difficult to trace the attackers. A DDoS attack is a large-scale, coordinated attack on the availability of services on a victim’s system or network, launched indirectly through many compromised computers on the Internet.
A DDoS attack uses many computers to launch a coordinated DoS attack against one or more targets. Using client/server technology, the perpetrator is able to multiply the effectiveness of the DoS significantly by harnessing the resour.
The document discusses distributed denial of service (DDoS) attacks, including how they work, common tools and methods used, and examples of recent large-scale DDoS attacks. It provides details on how botnets are used to overwhelm websites and infrastructure with malicious traffic. Specific DDoS attack types like UDP floods, SYN floods, and reflection attacks are outlined. Recent large attacks are described, such as those targeting bitcoin exchanges, social trading platforms, and Hong Kong voting sites ahead of a civil referendum.
Session for InfoSecGirls - New age threat management vol 1InfoSec Girls
This document discusses denial of service (DoS) and distributed denial of service (DDoS) attacks. It defines DoS and DDoS, describes common types like volumetric and application layer attacks. It also outlines tools used to carry out DDoS attacks and methods to protect against attacks, including configuring web servers and reverse proxies, using firewalls, and techniques from web application security firms.
The document provides information about different types of DDoS attacks including DoS, DDoS, DNS reflection, SYN reflection, SMURF, UDP flood, SNMP, NTP, HTTP GET, and HTTP POST attacks. It describes how each attack works and overloads the target system with traffic. Mitigation techniques are also outlined, such as firewalls, rate limiting, authentication, and modifying server configurations.
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A survey of trends in massive ddos attacks and cloud based mitigationsIJNSA Journal
Distributed Denial of Service (DDoS) attacks today
have been amplified into gigabits volume with
broadband Internet access; at the same time, the us
e of more powerful botnets and common DDoS
mitigation and protection solutions implemented in
small and large organizations’ networks and servers
are no longer effective. Our survey provides an in-
depth study on the current largest DNS reflection a
ttack
with more than 300 Gbps on Spamhaus.org. We have re
viewed and analysed the current most popular
DDoS attack types that are launched by the hacktivi
sts. Lastly, effective cloud-based DDoS mitigation
and
protection techniques proposed by both academic res
earchers and large commercial cloud-based DDoS
service providers are discussed
A survey of trends in massive ddos attacks and cloud based mitigationsIJNSA Journal
Distributed Denial of Service (DDoS) attacks today
have been amplified into gigabits volume with
broadband Internet access; at the same time, the us
e of more powerful botnets and common DDoS
mitigation and protection solutions implemented in
small and large organizations’ networks and servers
are no longer effective. Our survey provides an in-
depth study on the current largest DNS reflection a
ttack
with more than 300 Gbps on Spamhaus.org. We have re
viewed and analysed the current most popular
DDoS attack types that are launched by the hacktivi
sts. Lastly, effective cloud-based DDoS mitigation
and
protection techniques proposed by both academic res
earchers and large commercial cloud-based DDoS
service providers are discussed
A SURVEY OF TRENDS IN MASSIVE DDOS ATTACKS AND CLOUD-BASED MITIGATIONSIJNSA Journal
Distributed Denial of Service (DDoS) attacks today have been amplified into gigabits volume with broadband Internet access; at the same time, the use of more powerful botnets and common DDoS mitigation and protection solutions implemented in small and large organizations’ networks and servers are no longer effective. Our survey provides an in-depth study on the current largest DNS reflection attack with more than 300 Gbps on Spamhaus.org. We have reviewed and analysed the current most popular DDoS attack types that are launched by the hacktivists. Lastly, effective cloud-based DDoS mitigation and protection techniques proposed by both academic researchers and large commercial cloud-based DDoS service providers are discussed.
Know All About Mitigate TCP Syn Flood Attacks. It is a cyberattack so you need to fix this issue to secure your device & data security using this method. To know more visit https://bit.ly/3czNIcM
DDoS attacks work by using botnets to overwhelm a target site with large amounts of traffic, making it unavailable to legitimate users. They can have major business impacts by disrupting systems, damaging resources, and costing companies millions per day of downtime. While prevention is challenging due to distributed nature of attacks and internet, companies can mitigate risks by having adequate bandwidth, deploying DDoS defense systems, monitoring traffic, and creating incident response plans.
This document discusses several types of denial of service (DoS) attacks, including distributed denial of service (DDoS) attacks. It describes how a DDoS attack uses multiple compromised systems or "zombies" to launch a large-scale attack. It also explains specific DoS attack methods like Smurf attacks, which flood a target with ping replies by spoofing the target's IP address, and SYN flood attacks, which exploit the TCP three-way handshake process to overwhelm a server with half-open connections. The document provides technical details on how various DoS attacks work to crash systems or make networks and services unavailable.
Enhancing the impregnability of linux serversIJNSA Journal
Worldwide IT industry is experiencing a rapid shift towards Service Oriented Architecture (SOA). As a
response to the current trend, all the IT firms are adopting business models such as cloud based services
which rely on reliable and highly available server platforms. Linux servers are known to be highly
secure. Network security thus becomes a major concern to all IT organizations offering cloud based
services. The fundamental form of attack on network security is Denial of Service. This paper focuses on
fortifying the Linux server defence mechanisms resulting in an increase in reliability and availability of
services offered by the Linux server platforms. To meet this emerging scenario, most of the organizations
are adopting business models such as cloud computing that are dependant on reliable server platforms.
Linux servers are well ahead of other server platforms in terms of security. This brings network security
to the forefront of major concerns to an organization. The most common form of attacks is a Denial of
Service attack. This paper focuses on mechanisms to detect and immunize Linux servers from DoS .
ENHANCING THE IMPREGNABILITY OF LINUX SERVERSIJNSA Journal
Worldwide IT industry is experiencing a rapid shift towards Service Oriented Architecture (SOA). As a response to the current trend, all the IT firms are adopting business models such as cloud based services which rely on reliable and highly available server platforms. Linux servers are known to be highly secure. Network security thus becomes a major concern to all IT organizations offering cloud based services. The fundamental form of attack on network security is Denial of Service. This paper focuses on fortifying the Linux server defence mechanisms resulting in an increase in reliability and availability of services offered by the Linux server platforms. To meet this emerging scenario, most of the organizations are adopting business models such as cloud computing that are dependant on reliable server platforms. Linux servers are well ahead of other server platforms in terms of security. This brings network security to the forefront of major concerns to an organization. The most common form of attacks is a Denial of Service attack. This paper focuses on mechanisms to detect and immunize Linux servers from DoS .
Similar to MS_ISAC__DDoS_Attacks_Guide__2023_05.pdf (20)
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MS_ISAC__DDoS_Attacks_Guide__2023_05.pdf
1. 1
MS-ISAC Guide to DDoS Attacks
Distributed Denial of Service (DDoS)
MS-ISAC
Guide to DDoS
Attacks
May 2023
2. Contents
Introduction 1
Standard DDoS Attack Types 3
SYN Flood 3
UDP Flood 5
SMBLoris 6
ICMP Flood 7
HTTP GET Flood 9
Reflection DDoS Attack Types 10
NTP Reflection Attack with Amplification 10
DNS Reflection Attack with Amplification 11
CLDAP Reflection Attack with Amplification 12
WordPress Pingback Reflection Attack with Amplification 13
SSDP Reflection Attack with Amplification 14
Microsoft SQL Reflection Attack with Amplification 15
Memcached DDoS Attacks (Amplification) 16
General Recommendations and Mitigation Strategies 17
This Multi-State Information Sharing and Analysis Center
(MS-ISAC) document serves as a guide to aid partners in
defending against Distributed Denial of Service (DDoS) attacks.
This guide is not exhaustive, but it provides direct examples of
attack types that U.S. State, Local, Tribal, and Territorial (SLTT)
partners reported to the MS-ISAC.
i
MS-ISAC Guide to DDoS Attacks
3. Introduction
A Denial of Service (DoS) attack is an attempt to overwhelm
and render a system unavailable to intended user(s), such
as preventing their access to a website. A successful DoS
attack consumes all available network, application, or system
resources, usually resulting in a network slowdown, application
crash, or server crash. When multiple sources coordinate in
a DoS attack, it is known as a Distributed Denial of Service
(DDoS) attack.
MS-ISAC regularly observes two main methods of DDoS
attacks: “Standard” and “Reflection.”
A standard DDoS attack occurs when Cyber Threat Actors
(CTAs) direct substantial network traffic to a target server or
network. One of the ways a CTA accomplishes this is by using
a botnet to send the network traffic. A botnet is a large number
of previously compromised devices (also known as “bots” or
“zombies”) that can be controlled over the internet from a single
location and directed to carry out desired actions. When a CTA
uses a botnet to perform a DDoS attack, they send instructions
to zombie machines connected to that botnet, thereby
magnifying the scale of their attack. By leveraging a botnet,
attackers enable a DDoS attack to originate from multiple
networks and even multiple countries.
A reflection DDoS attack occurs when attackers spoof their IP
address to pose as the intended victim and then send requests
to public-facing servers. The responses to these requests are
sent to the intended victim from legitimate servers.
In addition to these methods, CTAs use a technique
called “amplification” to increase the effectiveness of their
attacks. Usually used in conjunction with reflection attacks,
amplification occurs when CTAs request large amounts of
data from third-party systems to ensure the response sent to
the victim is larger than the request sent from the attacker. As
Figure 2 illustrates, this might occur when the attacker spoofs
its IP address, pretending to be the victim, and requests all
known data from a public server. This results in the attacker
sending a small request, but the public server responds to the
victim with a large amount of data.
Attacker Botnet Command and
Control Server
Botnet
Source IP
Addresses
Target (Web Server)
Transmission Control
Protocol (TCP)
Port 80 SYN Packets
Figure 1. Standard DDoS SYN Flood Example
1
MS-ISAC Guide to DDoS Attacks Introduction
4. CTAs use various techniques to generate the necessary traffic
for an effective DDoS attack. A lone CTA with a botnet at
their disposal may use that botnet to orchestrate the attacks.
However, botnets are also available for hire, with operators
charging minimal fees for short-duration attacks.
Rather than trying to gain access to a botnet, a group of
CTAs working together may use free tools for a DDoS attack.
Attacks like these are usually less successful, as it is difficult
to coordinate enough attackers for the effect to be noticeable.
Most of these open-source tools were originally designed
as stress testers, but lower-skilled CTAs have used them to
conduct DDoS attacks. Popular examples of these tools include
the Low Orbit Ion Cannon (LOIC) and the High Orbit Ion
Cannon (HOIC). These tools can be downloaded, installed, and
used by anyone who wishes to be a part of an ongoing DDoS
attack. Other tools used to perform DDoS activities include
Metasploit, Pyloris, Slowloris, HULK, DDOSIM, Torshammer,
and GoldenEye.
Attacker IP:
1.1.1.1
Victim IP:
2.2.2.2
Public DNS
Server
“I am 2.2.2.2.
Could you send me
all DNS information
for 1.2.1.2?”
“I am 2.2.2.2.
Could you send me
all DNS information
for 1.2.1.2?”
“Hello 2.2.2.2.
Here is all DNS
information I have
for 1.2.1.2.”
“Hello 2.2.2.2.
Here is all DNS
information I have
for 1.2.1.2.”
Figure 2. DNS Reflection DDoS with Amplification Example
2
MS-ISAC Guide to DDoS Attacks Introduction
5. Standard DDoS Attack Types
SYN Flood
A SYN Flood is one of the most common forms of DDoS attacks
observed by the MS-ISAC. It occurs when an attacker sends a
succession of TCP Synchronize (SYN) requests to the target in
an attempt to consume enough resources to make the server
unavailable for legitimate users. This works because a SYN
request opens network communication between a prospective
client and the target server. When the server receives a
SYN request, it responds by acknowledging the request and
holds the communication open while it waits for the client to
acknowledge the open connection. However, in a successful
SYN Flood, the client acknowledgment never arrives, thus
consuming the server’s resources until the connection times
out. A large number of incoming SYN requests to the target
server exhausts all available server resources and results in a
successful DDoS attack.
SYN Flood Variations
Slowloris Attacks Slowloris is a DoS tool that CTAs can easily
access, but it also refers to a specific type of DoS attack.
Slowloris attacks attempt to establish multiple TCP connections
on a target web server and hold them open for as long as
possible by sending partial requests. As such, they are very
similar to a SYN Flood.
ESSYN/XSYN Flood An ESSYN Flood, also known as an XSYN
Flood, is an attack designed to target entities using stateful
firewalls. The attack works when a large number of unique
source IP addresses all attempt to open connections with
the target destination IP. Each new connection from a unique
source IP creates a new entry in the firewall state table. This
attack aims to create more unique connections than for which
there is space in the firewall’s state table. Once the table is
full, the firewall will no longer accept any additional inbound
connections, denying service to legitimate users attempting to
access the destination IP.
PSH Flood A Push (PSH) Flood involves sending a large
number of TCP packets with the PSH bit enabled. The purpose
of a PSH packet is to bypass packet buffering, which allows
for the efficient transfer of data by ensuring packets are filled
to the maximum segment size when multiple packets are sent
over a TCP connection. If the PSH bit is enabled, it indicates
the packet should immediately be sent to the application. In
normal circumstances, this does not present an issue. However,
when a significant number of PSH packets are sent to a target
server, there is potential to overload its resources, creating a
DoS situation.
3
MS-ISAC Guide to DDoS Attacks Standard DDoS Attack Types
6. Recommendations
To identify a SYN Flood, investigate network logs and locate
the TCP SYN flag. Tcpdump or Wireshark may work for
this purpose.
• TCP SYN packets are normal and not necessarily indicative
of malicious activity. Instead, look for a large number of SYN
packets from multiple sources over a short duration.
If you identify an attack, try to leverage your upstream network
service provider in order for them to mitigate the activity before
it reaches your network.
To help minimize the impact of successful SYN Flood attacks,
define strict “TCP keepalive” and “maximum connection” rules
on all perimeter devices, such as firewalls and proxy servers.
• On some firewall appliances, you can enable “SYN cookies”
to help mitigate the effects of a SYN Flood. Enabling SYN
cookies forces the firewall to validate the TCP connection
between the client and server before traffic is passed to the
server. When attackers never send a final acknowledgment of
the open connection, the firewall drops the connection.
4
MS-ISAC Guide to DDoS Attacks Standard DDoS Attack Types
7. UDP Flood
A UDP Flood is very similar to a SYN Flood in that an attacker
uses a botnet to send a significant amount of traffic to the
target server. The difference is that this attack is much faster.
Rather than attempting to exhaust server resources, it seeks to
consume all of the available bandwidth on the server’s network
link, thereby denying access to legitimate users. The attack
works because a server receiving a UDP packet on a network
port, such as 50555/UDP, checks for an application listening
on that port. If nothing is listening on the port, it replies to the
sender of the UDP packet with an Internet Control Message
Protocol (ICMP) Destination Unreachable packet. During an
attack, a large number of UDP packets arrive, each with various
destination ports. This forces the server to process and, in most
cases, respond to each one. This attack can quickly consume all
available bandwidth.
Recommendations
To identify a UDP Flood, investigate network logs and look for
a large number of inbound UDP packets over irregular network
ports coming from a large number of source IP addresses.
• Many legitimate services use UDP for their network
traffic. Common UDP ports are 53 (DNS), 88 (Kerberos),
137/138/445 (Windows), and 161 (SNMP). When investigating
a DDoS attack, look for UDP traffic with high-numbered
network ports (1024+).
If you identify an attack, try to leverage your upstream network
service provider in order for them to mitigate the activity before
it reaches your network.
• To minimize the effect of UDP Flood attacks, define strict
rules on your perimeter network devices, like firewalls, to
allow only inbound traffic on required ports.
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MS-ISAC Guide to DDoS Attacks Standard DDoS Attack Types
8. SMBLoris
A Server Message Block (SMB) SMBLoris attack is an
application-level DDoS attack that occurs when a CTA opens
multiple SMB connections to a device, maliciously consuming
memory with minimal attack cost. SMB is a remote access
protocol that provides shared access to files, printers, and
various communications between devices over port 445. All
versions of SMB are vulnerable to SMBLoris because the
vulnerability lies in how SMB packets are processed and the
memory allocated. Windows and Samba software devices are
both susceptible to the attack.
A connection made with a single IPv4 or IPv6 address impacts
up to 8 GB of memory if a CTA sends the attack over both IPv4
and IPv6, enabling one computer to cause 16 GB of memory to
be consumed while utilizing only 512 MB of its own memory.
Eventually, a targeted Windows computer cannot allocate any
more memory, so it becomes unresponsive and needs to be
manually rebooted. If this attack occurs against a Linux device
with Samba, the device is forced into its configured Out of
Memory (OOM) behavior.
As of April 2023, the MS-ISAC has not received recent reporting
on this technique but is including it in this guide in the event
this type of activity resumes.
Recommendations
• To block a remote SMBLoris attack from occurring, configure
the border firewall to block all ingress traffic over ports
445 and 139.
• To block an internal SMBLoris attack from occurring, set an
artificial rate limit for the number of connections local devices
can have open.
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MS-ISAC Guide to DDoS Attacks Standard DDoS Attack Types
9. ICMP Flood
An ICMP Flood occurs when an attacker uses a botnet to send
a large number of ICMP packets to a target server to consume
all available bandwidth and deny legitimate users access.
This attack works when a large number of sources can send
enough ICMP traffic to consume all available bandwidth of the
target’s network.
An example of this could be the “ping” command. This
command is primarily used to test network connectivity
between two points on a network. However, it is possible to
supply this command with different variables to expand the
ping’s size and frequency. By using these variables correctly
and with enough source machines to initiate the traffic, it is
possible to consume all of the available bandwidth.
ICMP Flood Variant Using Reflection
Smurf Attack A Smurf attack is an alternate method of carrying
out an ICMP Flood attack. In a Smurf attack, the attacker spoofs
the target’s IP address as their own and then sends ICMP
ping requests to the broadcast IP address of a public network
on the internet. The broadcast IP address of a network will
send any traffic it receives to all other IP addresses within its
network. Therefore, when the broadcast IP address receives
the ICMP ping request, it is forwarded to all live computers on
its network. Each of those computers thinks that these ping
requests are coming from the target IP address and therefore
sends their responses to the target rather than back to the
attacker. This sends many unsolicited ICMP ping replies to the
target of the DDoS and consumes available bandwidth.
Recommendations
To identify an ICMP Flood, investigate network logs and look
for a significant amount of inbound ICMP traffic from a large
number of sources.
• Depending on what tool you are using to investigate your
logs, you can identify ICMP packets by the protocol displayed
in the graphical user interface, such as with WireShark.
When analyzing ICMP traffic, you will notice that no port
information is available, as ICMP does not use network ports
like TCP or UDP.
• If you are using a tool that displays the network protocols as
numbered values, ICMP is protocol 1.
ICMP type and code fields also identify what ICMP traffic is
being sent or received. For a complete list of these types and
codes, please see hxxp://www.nthelp.com/icmp.html.
• If you identify an attack, try to leverage your upstream
network service provider in order for them to mitigate the
activity before it reaches your network.
To mitigate some of the damage of ICMP Flood attacks, block
ICMP traffic at perimeter network devices such as routers.
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MS-ISAC Guide to DDoS Attacks Standard DDoS Attack Types
10. Additionally, set a packet-per-second threshold for ICMP
requests on perimeter routers. If the amount of inbound ICMP
traffic exceeds this threshold, the excess traffic is ignored until
the next second. Packet-per-second thresholds effectively keep
your network from being overrun with ICMP traffic.
• Note: The above step does not stop a determined ICMP
Flood. If there is enough inbound traffic to exhaust the
bandwidth between the upstream network provider and the
perimeter device-filtering ICMP, legitimate traffic may be
dropped or delayed to the point of a DoS. If this is the case,
it is necessary to contact the upstream network service
provider to have ICMP activity dropped at their level before it
reaches your network link.
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MS-ISAC Guide to DDoS Attacks Standard DDoS Attack Types
11. HTTP GET Flood
An HTTP GET Flood occurs when an attacker, or attackers,
generates a significant number of continuous HTTP GET
requests for a target website in an attempt to consume enough
resources to make the server unavailable for legitimate users.
In this case, the attacking IP addresses never wait for a
response from the target server despite the server attempting
to respond to all incoming requests. This results in connections
being left open on the web server. A large enough number
of incoming HTTP GET requests to the target web server
eventually exhausts all available server resources and results in
a successful DDoS attack.
HTTP GET Flood Variation
HTTP POST Flood Another HTTP Flood incorporates the use
of the HTTP POST request instead of GET. This attack works
because it forces the web server to allocate more resources
in response to each inbound request. A large number of
these requests could tie up enough server resources to deny
legitimate users access to the web server.
Recommendations
To identify an HTTP GET Flood, investigate network logs and
look for a large number of inbound traffic from a significant
number of source IP addresses with a destination port of 80
and a protocol of TCP. The packet data should also begin with
“GET.” We recommend using either tcpdump or Wireshark.
HTTP GET requests are normal and are not inherently indicative
of malicious activity. Look for a large number of identical GET
requests coming from a large number of sources over a short
period. The same source IP addresses should resend the same
GET requests rapidly.
• If you identify an attack, leverage a DDoS mitigation service
provider for the best results in mitigating this activity.
• It is difficult to set up proactive security measures to block
this attack, as legitimate traffic is used to carry it out. Often,
rate-based protections are not sufficient to block this attack,
and the source IP addresses of the attack are part of a large
botnet. Therefore, blocking every source IP is inefficient and
may include legitimate users.
• One solution that may help mitigate this type of attack is to
use a Web Application Firewall (WAF). HTTP Floods often
exhibit trends that a correctly configured WAF can filter and
block without blocking legitimate access to the web server.
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MS-ISAC Guide to DDoS Attacks Standard DDoS Attack Types
12. Reflection DDoS Attack Types
NTP Reflection Attack with Amplification
A Network Time Protocol (NTP) reflection attack occurs
when the attacker uses traffic from a legitimate NTP server to
overwhelm a target’s resources. NTP synchronizes clocks on
networked machines and runs over port 123/UDP. An obscure
command, monlist, allows a requesting computer to receive
information regarding the last 600 connections to the NTP
server. An attacker can spoof the target’s IP address and send
a monlist command to request that the NTP server send a large
amount of information to the target. These responses typically
have a fixed packet size that can be identified across a large
number of replies. Since the response from the NTP server
is larger than the request sent from the attacker, the effect of
the attack is amplified. When an attacker spoofs the target’s
IP address and then sends the monlist command to a large
number of internet-facing NTP servers, the amplified responses
are sent back to the target. This eventually consumes all
available bandwidth.
Recommendations
To identify a NTP Reflection Attack with Amplification,
investigate your network logs and look for inbound traffic with
a source port of 123/UDP and a specific packet size.
• Once identified, try to leverage your upstream network
service provider and provide them with the attacking IP
addresses and the packet sizes used in the attack. Upstream
providers have the ability to place a filter at their level to force
inbound NTP traffic, using the specific packet size that you
are experiencing, to drop.
Along with remediating inbound attacks, take the following
preventative measures to ensure that your NTP servers are not
used to attack others.
• If you are unsure whether or not your NTP server is
vulnerable to attack, follow the instructions available at
OpenNTP: hxxp://openntpproject.org.
• Upgrade NTP servers to version 2.4.7 or later, which removes
the monlist command entirely, or implement a version
of NTP that does not utilize the monlist command, such
as OpenNTPD.
• If you are unable to upgrade your server, disable the monlist
query feature by adding “disable monitor” to your ntp.conf file
and restarting the NTP process.
• Implement firewall rules that restrict unauthorized traffic to
the NTP server.
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MS-ISAC Guide to DDoS Attacks Reflection DDoS Attack Types
13. DNS Reflection Attack with Amplification
A Domain Name System (DNS) Reflection attack occurs
when the attacker manipulates the DNS system to send an
overwhelming amount of traffic to the target. DNS servers
resolve IP addresses to domain names, allowing the average
internet user to type an easily remembered domain name into
their web browser rather than remembering the IP addresses
of websites. A DNS Reflection attack occurs when an attacker
spoofs the victim’s IP address and sends DNS name lookup
requests to public DNS servers. The DNS server then sends the
response to the target server, and the response size depends
on the options specified by the attacker in their name lookup
request. To get the maximum amplification, the attacker can
use the word “ANY” in their request, which returns all known
information about a DNS zone to a single request. When an
attacker spoofs a target’s IP address and sends DNS lookup
requests to a large number of public DNS servers, the amplified
responses are sent back to the target and eventually consume
all available bandwidth.
Recommendations
To identify if a DNS Reflection Attack with Amplification is
occurring, investigate network logs and look for inbound DNS
query responses with no matching DNS query requests.
• DNS queries are normal and are themselves not indicative
of an attack.
If you identify an attack, try to leverage your upstream network
service provider in order for them to mitigate the activity before
it reaches your network.
Along with remediating inbound attacks, disable DNS recursion,
if possible, by following the guidelines provided by your DNS
server vendor (BIND, Microsoft, etc.). Doing so ensures that
your DNS servers are not used to attack others.
• Instructions for disabling recursion can also be found at Team
Cymru: http://www.team-cymru.org/Services/Resolvers/
instructions.html.
To discover if any of your public DNS servers may be used to
attack others, use the free test at openresolverproject.org.
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MS-ISAC Guide to DDoS Attacks Reflection DDoS Attack Types
14. CLDAP Reflection Attack with Amplification
A Connection-less Lightweight Directory Access Protocol
(CLDAP) Reflection Attack with Amplification occurs when
an attacker sends a CLDAP request to an LDAP server using
a spoofed sender IP address. CLDAP is used to connect,
search, and modify shared internet directories. It runs over
port 389/UDP.
A CLDAP Reflection attack occurs when a CTA spoofs the
victim’s IP address and sends a CLDAP query to multiple LDAP
servers. The LDAP servers then send the requested data to
the spoofed IP address. This unsolicited response results in
a DDoS attack, as the victim’s machine cannot process an
overabundance of LDAP/CLDAP data simultaneously.
The amplification is due to the number of times a packet is
enlarged while processed by the LDAP server. LDAP UDP
protocol responses are much larger than the initial request
with an amplification factor of 52, and they can peak at up to a
factor of 70.
TCP LDAP Reflection Attack with
Amplification Variant
The LDAP Reflection Attack with Amplification variant can be
used over port 389/TCP. This attack has an amplification factor
of 46 and can peak at up to a factor of 55.
Recommendations
To identify a CLDAP Reflection Attack with Amplification,
investigate your network logs and look for inbound traffic with a
source port of 389/UDP.
• Once identified, try to leverage your upstream network
service provider and provide them with the attacking IP
addresses and the packet sizes used in the attack. Upstream
providers can place a filter at their level.
• Create a DDoS protection plan.
Along with remediating inbound attacks, take the following
preventative measures to ensure that your servers are not used
to attack others.
• Implement ingress firewall rules that restrict unauthorized use
of the LDAP server.
• Audit policies to provide reporting of network services that
are potentially exploitable as reflection attacks.
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MS-ISAC Guide to DDoS Attacks Reflection DDoS Attack Types
15. WordPress Pingback Reflection Attack with Amplification
WordPress is a popular Content Management System (CMS)
used to develop and maintain websites and blogs. A function of
WordPress sites is called the pingback feature, which notifies
other WordPress websites that you have added a link to their
website on your site. Sites using WordPress automate this
process and maintain automated lists containing sites that
link to them. These “pingbacks” are sent as Hypertext Transfer
Protocol (HTTP) POST requests to the /xmlrpc.php page, which
WordPress uses to carry out the pingback process. By default,
this feature downloads the entire web page that contains
the link that triggered the pingback process. An attacker can
locate any number of WordPress websites and then send
pingback requests to each of them with the URL of the target
website, resulting in each of those WordPress websites sending
requests to the target server requesting the download of the
web page. A large number of requests to download the web
page can eventually overload the target web server.
Recommendations
To identify a WordPress Pingback Reflection attack with
Amplification, investigate your network logs and look for
a large number of inbound TCP traffic over port 80 from a
large number of sources. The traffic appears as HTTP GET
requests for random values such as “?5454545=6767676”
. This
request bypasses the cache and forces a full-page reload for
every packet.
• If you identify an attack, try to leverage your upstream
network service provider in order for them to mitigate the
activity before it reaches your network.
At the time of this writing, there is no way to prevent this
inbound traffic, as it functions as normal web traffic. However,
there is a way to ensure that your WordPress websites are not
used to attack others. To do this, WordPress has a tool available
for download that disables the pingback feature of XMLRPC.
Download the tool at the following link: hxxp://wordpress.org/
plugins/disable-xml-rpc-pingback.
Alternatively, you can create a plugin for the website that add a
filter to manually disable the pingback function of XMLRPC. An
example of this plugin can be found at: hxxps://isc.sans.edu/
forums/diary/Wordpress+Pingback+DDoS+Attacks/17801.
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MS-ISAC Guide to DDoS Attacks Reflection DDoS Attack Types
16. SSDP Reflection Attack with Amplification
The Simple Service Discovery Protocol (SSDP) is commonly
used to discover Universal Plug and Play (UPnP) devices. UPnP
is a series of networking protocols that allows networking
devices to discover and connect with one another without
user intervention. Using SSDP, Simple Object Access Protocol
(SOAP) delivers control messages to UPnP devices. An
SSDP reflection attack occurs when an attacker spoofs the
victim’s IP address and sends crafted SOAP requests to open
UPnP devices on the internet. These devices then send their
responses to that victim’s IP address. Depending on how the
attacker crafted the request, the response could be amplified by
a factor of 30 from a single request.
When an attacker spoofs a victim’s IP address and sends
crafted SOAP requests over SSDP to a large number of public
UPnP devices, the amplified responses are sent back to the
victim, eventually consuming all available bandwidth.
Recommendations
To identify if an SSDP Reflection Attack with Amplification is
occurring, investigate network logs and look for inbound source
port 1900/UDP (SSDP) traffic from a large number of source
IP addresses.
• Once an attack is identified, try to leverage your upstream
network service provider in order for them to mitigate the
activity before it reaches your network.
Along with remediating inbound attacks, take the following
preventative measures to ensure that your UPnP devices are
not used to attack others.
• If you are unsure if any devices on your network could be
employed in an attack, check by following the instructions
available at OpenSSDP: hxxp://openssdpproject.org.
• Block outbound port 1900/UDP traffic at your border routers
and restrict UPnP to the internal network, if required.
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MS-ISAC Guide to DDoS Attacks Reflection DDoS Attack Types
17. Microsoft SQL Reflection Attack with Amplification
Microsoft (MS) Structured Query Language (SQL) is a popular
application for managing relational databases. Database
servers using MS SQL are sometimes left on external IP
addresses so that they can be accessed remotely over the
internet. An MS SQL Reflection Attack occurs when an
attacker spoofs the target’s IP address and sends crafted
requests to public-facing MS SQL servers using the MS
SQL Server Resolution Protocol (MC-SQLR), which listens
on port 1434/UDP. The response from the database server
contains information about the database instances running
on the server and how to connect to each one. Depending on
the configuration of the database server and the number of
database instances on the server, the response to the client
request could be amplified by a factor of 25 for a single request.
Attackers can send scripted MC-SQLR requests, spoofing the
target’s IP address, to a large number of public-facing MS SQL
servers. The amplified responses are sent back to the target,
possibly consuming all of the target’s available bandwidth.
Recommendations
To identify if an MS SQL Reflection Attack with Amplification
is occurring, investigate network logs and look for inbound
source port 1434/UDP (MC-SQLR) traffic from a large number
of source IP addresses. In some instances, it may be possible to
identify a particular payload signature.
• If you identify an attack, try to leverage your upstream
provider in order for them to mitigate the activity before it
reaches your network.
• If possible, block inbound connections to port 1434/UDP or
filter connections to allow only trusted IP addresses.
Along with mitigating inbound attacks, take the following steps
to prevent your MS SQL server from being used as a reflector in
attacks against others:
• Use ingress and egress filters on firewalls to block SQL
server ports. Port 1434/UDP should be open only if there
is an identified need for the service. If the port is open, it is
recommended that traffic be filtered to allow only trusted
IP addresses.
• SQL servers that have only one database instance running
do not need to run MS- SQLR. If you are running only one
database instance, disable MS-SQLR.
As of Microsoft SQL Server 2008, the feature is disabled by
default. However, earlier versions require administrators to
disable this service manually. If you are running an older version
of the software and there is no need for MS-SQLR, disable it. If
it is determined that MS-SQLR is needed, consider adding an
additional layer of security, such as requiring authentication via
SSH or VPN, in front of the service.
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MS-ISAC Guide to DDoS Attacks Reflection DDoS Attack Types
18. Memcached DDoS Attacks (Amplification)
A Memcached DDoS Attack attempts to overload a targeted
victim with traffic using the UDP protocol. The attacker spoofs
requests to a vulnerable UDP memcached server, which then
floods a targeted victim with internet traffic. These requests
potentially overwhelm the victim’s resources, thus resulting
in a denial of service on the server itself. The attack works by
sending spoofed requests to the vulnerable server, which then
responds with a larger amount of data than the initial request.
This increases the overall traffic.
A Memcached DDoS Attack occurs in four steps:
1 An attacker implants a large amount of data on an exposed
memcached server.
2 Next, the attacker spoofs an HTTP GET request with the IP
address of the targeted victim.
3 The vulnerable memcached server that receives the
request, which is trying to be helpful by responding, sends
a large response to the target that the target won’t be
able to handle.
4 The targeted server or its surrounding infrastructure is
unable to process the large amount of data sent from the
memcached server, resulting in an overload and denial of
service to legitimate requests.
Recommendations
• Disable UDP for memcached servers.
• Restrict access to memcached servers from external sources
by utilizing a firewall configuration that limits access.
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MS-ISAC Guide to DDoS Attacks Reflection DDoS Attack Types
19. General Recommendations
and Mitigation Strategies
The following generic recommendations for DDoS mitigation
can reduce the impact of attempted DDoS attacks and enable a
faster response when successful DDoS attacks occur.
• Establish and maintain effective partnerships with your
upstream network service provider and know what
assistance they can provide you in the event of a DDoS
attack. In the case of a DDoS attack, the faster a provider
can implement traffic blocks and mitigation strategies at
their level, the sooner your services will become available for
legitimate users.
• Consider also establishing relationships with companies that
offer DDoS mitigation services.
• If you are experiencing a DDoS attack, provide the attacking
IP addresses to your upstream network service provider
so they can implement restrictions at their level. Keep in
mind that Reflection DDoS attacks typically originate from
legitimate public servers. It is important to ascertain to
whom an IP belongs when examining network logs during an
attack. Use tools such as the American Registry for Internet
Numbers (ARIN) (https://www.arin.net) to look up the source
IPs involved in the attack. Otherwise, you may block traffic
from legitimate networks or servers.
• Enable firewall logging of accepted and denied traffic to
determine where the DDoS may be originating.
• Define strict “TCP keepalive” and “maximum connection” on
all perimeter devices, such as firewalls and proxy servers.
This recommendation assists with keeping SYN Flood attacks
from being successful.
• Consider having the organization’s upstream network service
provider implement port and packet size filtering.
• Establish and regularly validate public-facing websites’
baseline traffic patterns for volume and type.
• Apply all vendor patches after appropriate testing.
• Configure firewalls to block, at a minimum, inbound
traffic sourced from IP addresses that are reserved (0/8),
loopback (127/8), private (RFC 1918 blocks 10/8, 172.16/12,
and 192.168/16), unassigned DHCP clients (169.254.0.0/16),
multicast (224.0.0.0/4) and otherwise listed in RFC 5735. This
configuration should also be requested at the ISP level.
• Tune public-facing server processes to allow the minimum
amount of processes or connections necessary to conduct
business effectively.
• Configure firewalls and intrusion detection/prevention
devices to alarm on traffic anomalies.
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MS-ISAC Guide to DDoS Attacks General Recommendations and Mitigation Strategies
20. • Configure firewalls only to accept traffic detailed in
your organization’s security policy as required for
business purposes.
• Consider setting up Out-of-Band access, internet and
telephony, to an incident management room to ensure
connection in the event of a DDoS attack that disrupts
normal connectivity.
• Consider utilizing a free service such as the Athenian Project.
The Athenian Project is a Cloudflare-run program offered free
to all U.S state, county, and municipal government websites.
They aim to provide protection and reliability for websites
from cyber attacks. For more information, please see: https://
www.cloudflare.com/athenian.
• Ensure all software is up to date, as vulnerabilities that
could allow your servers to be used for attacks against other
victims are often patched by software updates.
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MS-ISAC Guide to DDoS Attacks General Recommendations and Mitigation Strategies
21. 19
MS-ISAC Guide to DDoS Attacks General Recommendations and Mitigation Strategies
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