Threat Hunting with Elastic Stack

With this book, security practitioners working with Kibana will be able to put their knowledge to work and detect malicious adversary activity within their contested network.

Author: Andrew Pease

Publisher: Packt Publishing Ltd

ISBN: 9781801079808

Category: Computers

Page: 392

View: 900

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Elastic security offers enhanced threat hunting capabilities to build active defense strategies. Complete with practical examples and tips, this easy-to-follow guide will help you enhance your security skills by leveraging the Elastic Stack for security monitoring, incident response, intelligence analysis, or threat hunting.

Developing an Adaptive Threat Hunting Solution

Organizations of all sizes are fighting the same security battles while attackers keep changing the threat landscape by developing new tools and targeting victim endpoints; however, their attack kill chain along with motives have not ...

Author: Pablo Delgado

Publisher:

ISBN: OCLC:1084485252

Category: Application software

Page:

View: 819

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Organizations of all sizes are fighting the same security battles while attackers keep changing the threat landscape by developing new tools and targeting victim endpoints; however, their attack kill chain along with motives have not changed, as their attacks initialize the same way and their end goal is usually data exfiltration of Intellectual property, or credit card information. This thesis proposes and evaluates The Elasticsearch Stack solution (ELK), an enterprise-grade logging repository and search engine to provide active threat hunting in a Windows enterprise environment. The initial phases of this thesis focus on the data quality, unsupervised machine learning, and newly developed attack frameworks such as MITRE’s (ATT&CK) as prerequisites to developing the proposed solution. Lastly, by using publicly known Attack Kill Chain methodologies such as Mandiant’s, several attack use cases were developed and tested against the ELK stack to ensure that logging was adequate to cover most attack vectors.

Machine Learning with the Elastic Stack

As part of a threat hunting architecture and best practice, enriching the ingested data can add insightful information (such as the geolocation of IP addresses), but it can also identify at a glance if an IP address is on a known threat ...

Author: Rich Collier

Publisher: Packt Publishing Ltd

ISBN: 9781788471770

Category: Computers

Page: 304

View: 438

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Elastic has announced the integration of Prelert machine learning technology within its ecosystem allowing real-time generation of business insights from the Elasticsearch data without it leaving the cluster at all. This book will demonstrate these unique features and teach you to perform machine learning on the Elastic Stack without any hassle.

Industrial Cybersecurity

Your main tool for threat hunting exercises should be some form of event correlation solution. ... We will be using Security Onion, and the ELK stack in particular, exclusively throughout the threat hunting exercises in the next three ...

Author: Pascal Ackerman

Publisher: Packt Publishing Ltd

ISBN: 9781800205826

Category: Computers

Page: 800

View: 826

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Get up and running with industrial cybersecurity monitoring with this hands-on book, and explore ICS cybersecurity monitoring tasks, activities, tools, and best practices Key Features Architect, design, and build ICS networks with security in mind Perform a variety of security assessments, checks, and verifications Ensure that your security processes are effective, complete, and relevant Book Description With Industrial Control Systems (ICS) expanding into traditional IT space and even into the cloud, the attack surface of ICS environments has increased significantly, making it crucial to recognize your ICS vulnerabilities and implement advanced techniques for monitoring and defending against rapidly evolving cyber threats to critical infrastructure. This second edition covers the updated Industrial Demilitarized Zone (IDMZ) architecture and shows you how to implement, verify, and monitor a holistic security program for your ICS environment. You'll begin by learning how to design security-oriented architecture that allows you to implement the tools, techniques, and activities covered in this book effectively and easily. You'll get to grips with the monitoring, tracking, and trending (visualizing) and procedures of ICS cybersecurity risks as well as understand the overall security program and posture/hygiene of the ICS environment. The book then introduces you to threat hunting principles, tools, and techniques to help you identify malicious activity successfully. Finally, you'll work with incident response and incident recovery tools and techniques in an ICS environment. By the end of this book, you'll have gained a solid understanding of industrial cybersecurity monitoring, assessments, incident response activities, as well as threat hunting. What you will learn Monitor the ICS security posture actively as well as passively Respond to incidents in a controlled and standard way Understand what incident response activities are required in your ICS environment Perform threat-hunting exercises using the Elasticsearch, Logstash, and Kibana (ELK) stack Assess the overall effectiveness of your ICS cybersecurity program Discover tools, techniques, methodologies, and activities to perform risk assessments for your ICS environment Who this book is for If you are an ICS security professional or anyone curious about ICS cybersecurity for extending, improving, monitoring, and validating your ICS cybersecurity posture, then this book is for you. IT/OT professionals interested in entering the ICS cybersecurity monitoring domain or searching for additional learning material for different industry-leading cybersecurity certifications will also find this book useful.

Evidence Based Cybersecurity

Threat hunting with elastic stack: Solve complex security challenges with integrated prevention, detection, and response. Pa t Publishing. Pomerleau, P. L. (2019). Countering the cyber threats against financial institutions in Canada: ...

Author: Pierre-Luc Pomerleau

Publisher: CRC Press

ISBN: 9781000600933

Category: Computers

Page: 250

View: 667

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The prevalence of cyber-dependent crimes and illegal activities that can only be performed using a computer, computer networks, or other forms of information communication technology has significantly increased during the last two decades in the USA and worldwide. As a result, cybersecurity scholars and practitioners have developed various tools and policies to reduce individuals' and organizations' risk of experiencing cyber-dependent crimes. However, although cybersecurity research and tools production efforts have increased substantially, very little attention has been devoted to identifying potential comprehensive interventions that consider both human and technical aspects of the local ecology within which these crimes emerge and persist. Moreover, it appears that rigorous scientific assessments of these technologies and policies "in the wild" have been dismissed in the process of encouraging innovation and marketing. Consequently, governmental organizations, public, and private companies allocate a considerable portion of their operations budgets to protecting their computer and internet infrastructures without understanding the effectiveness of various tools and policies in reducing the myriad of risks they face. Unfortunately, this practice may complicate organizational workflows and increase costs for government entities, businesses, and consumers. The success of the evidence-based approach in improving performance in a wide range of professions (for example, medicine, policing, and education) leads us to believe that an evidence-based cybersecurity approach is critical for improving cybersecurity efforts. This book seeks to explain the foundation of the evidence-based cybersecurity approach, review its relevance in the context of existing security tools and policies, and provide concrete examples of how adopting this approach could improve cybersecurity operations and guide policymakers' decision-making process. The evidence-based cybersecurity approach explained aims to support security professionals', policymakers', and individual computer users' decision-making regarding the deployment of security policies and tools by calling for rigorous scientific investigations of the effectiveness of these policies and mechanisms in achieving their goals to protect critical assets. This book illustrates how this approach provides an ideal framework for conceptualizing an interdisciplinary problem like cybersecurity because it stresses moving beyond decision-makers' political, financial, social, and personal experience backgrounds when adopting cybersecurity tools and policies. This approach is also a model in which policy decisions are made based on scientific research findings.

Modern Cybersecurity Practices

To expand on the technology used to store, correlate, and visualize findings within Security Onion, the ELK stack. ... look at what ELK is and we will build ourselves an ELK stack to use for threat hunting and other security-related ...

Author: Pascal Ackerman

Publisher: BPB Publications

ISBN: 9789389328257

Category: Computers

Page: 412

View: 412

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A practical book that will help you defend against malicious activities DESCRIPTION Modern Cybersecurity practices will take you on a journey through the realm of Cybersecurity. The book will have you observe and participate in the complete takeover of the network of Company-X, a widget making company that is about to release a revolutionary new widget that has the competition fearful and envious. The book will guide you through the process of the attack on Company-X’s environment, shows how an attacker could use information and tools to infiltrate the companies network, exfiltrate sensitive data and then leave the company in disarray by leaving behind a little surprise for any users to find the next time they open their computer. After we see how an attacker pulls off their malicious goals, the next part of the book will have your pick, design, and implement a security program that best reflects your specific situation and requirements. Along the way, we will look at a variety of methodologies, concepts, and tools that are typically used during the activities that are involved with the design, implementation, and improvement of one’s cybersecurity posture. After having implemented a fitting cybersecurity program and kickstarted the improvement of our cybersecurity posture improvement activities we then go and look at all activities, requirements, tools, and methodologies behind keeping an eye on the state of our cybersecurity posture with active and passive cybersecurity monitoring tools and activities as well as the use of threat hunting exercises to find malicious activity in our environment that typically stays under the radar of standard detection methods like firewall, IDS’ and endpoint protection solutions. By the time you reach the end of this book, you will have a firm grasp on what it will take to get a healthy cybersecurity posture set up and maintained for your environment. KEY FEATURES - Learn how attackers infiltrate a network, exfiltrate sensitive data and destroy any evidence on their way out - Learn how to choose, design and implement a cybersecurity program that best fits your needs - Learn how to improve a cybersecurity program and accompanying cybersecurity posture by checks, balances and cyclic improvement activities - Learn to verify, monitor and validate the cybersecurity program by active and passive cybersecurity monitoring activities - Learn to detect malicious activities in your environment by implementing Threat Hunting exercises WHAT WILL YOU LEARN - Explore the different methodologies, techniques, tools, and activities an attacker uses to breach a modern company’s cybersecurity defenses - Learn how to design a cybersecurity program that best fits your unique environment - Monitor and improve one’s cybersecurity posture by using active and passive security monitoring tools and activities. - Build a Security Incident and Event Monitoring (SIEM) environment to monitor risk and incident development and handling. - Use the SIEM and other resources to perform threat hunting exercises to find hidden mayhem WHO THIS BOOK IS FOR This book is a must-read to everyone involved with establishing, maintaining, and improving their Cybersecurity program and accompanying cybersecurity posture. TABLE OF CONTENTS 1. What’s at stake 2. Define scope 3.Adhere to a security standard 4. Defining the policies 5. Conducting a gap analysis 6. Interpreting the analysis results 7. Prioritizing remediation 8. Getting to a comfortable level 9. Conducting a penetration test. 10. Passive security monitoring. 11. Active security monitoring. 12. Threat hunting. 13. Continuous battle 14. Time to reflect

Getting Started with Elastic Stack 8 0

... primary shard 69 replica shard 69 SIEM alerts interface 389 SIEM product 25 SIEM support, for threat hunting Hosts view 394 Network view 395 single event event streams, aggregating into 228-231 Site Reliability Engineers (SREs) 10, ...

Author: Asjad Athick

Publisher: Packt Publishing Ltd

ISBN: 9781800564107

Category: Computers

Page: 474

View: 675

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Use the Elastic Stack for search, security, and observability-related use cases while working with large amounts of data on-premise and on the cloud Key Features Learn the core components of the Elastic Stack and how they work together Build search experiences, monitor and observe your environments, and defend your organization from cyber attacks Get to grips with common architecture patterns and best practices for successfully deploying the Elastic Stack Book Description The Elastic Stack helps you work with massive volumes of data to power use cases in the search, observability, and security solution areas. This three-part book starts with an introduction to the Elastic Stack with high-level commentary on the solutions the stack can be leveraged for. The second section focuses on each core component, giving you a detailed understanding of the component and the role it plays. You'll start by working with Elasticsearch to ingest, search, analyze, and store data for your use cases. Next, you'll look at Logstash, Beats, and Elastic Agent as components that can collect, transform, and load data. Later chapters help you use Kibana as an interface to consume Elastic solutions and interact with data on Elasticsearch. The last section explores the three main use cases offered on top of the Elastic Stack. You'll start with a full-text search and look at real-world outcomes powered by search capabilities. Furthermore, you'll learn how the stack can be used to monitor and observe large and complex IT environments. Finally, you'll understand how to detect, prevent, and respond to security threats across your environment. The book ends by highlighting architecture best practices for successful Elastic Stack deployments. By the end of this book, you'll be able to implement the Elastic Stack and derive value from it. What you will learn Configure Elasticsearch clusters with different node types for various architecture patterns Ingest different data sources into Elasticsearch using Logstash, Beats, and Elastic Agent Build use cases on Kibana including data visualizations, dashboards, machine learning jobs, and alerts Design powerful search experiences on top of your data using the Elastic Stack Secure your organization and learn how the Elastic SIEM and Endpoint Security capabilities can help Explore common architectural considerations for accommodating more complex requirements Who this book is for Developers and solutions architects looking to get hands-on experience with search, security, and observability-related use cases on the Elastic Stack will find this book useful. This book will also help tech leads and product owners looking to understand the value and outcomes they can derive for their organizations using Elastic technology. No prior knowledge of the Elastic Stack is required.

Mastering Machine Learning for Penetration Testing

Threat. hunting. with. the. ELK. Stack. You have now seen a clear overview of the most important terminologies in threat hunting. So, let's build our threat-hunting platform. In the following sections, we will learn how to build a ...

Author: Chiheb Chebbi

Publisher: Packt Publishing Ltd

ISBN: 9781788993111

Category: Computers

Page: 276

View: 115

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Become a master at penetration testing using machine learning with Python Key Features Identify ambiguities and breach intelligent security systems Perform unique cyber attacks to breach robust systems Learn to leverage machine learning algorithms Book Description Cyber security is crucial for both businesses and individuals. As systems are getting smarter, we now see machine learning interrupting computer security. With the adoption of machine learning in upcoming security products, it’s important for pentesters and security researchers to understand how these systems work, and to breach them for testing purposes. This book begins with the basics of machine learning and the algorithms used to build robust systems. Once you’ve gained a fair understanding of how security products leverage machine learning, you'll dive into the core concepts of breaching such systems. Through practical use cases, you’ll see how to find loopholes and surpass a self-learning security system. As you make your way through the chapters, you’ll focus on topics such as network intrusion detection and AV and IDS evasion. We’ll also cover the best practices when identifying ambiguities, and extensive techniques to breach an intelligent system. By the end of this book, you will be well-versed with identifying loopholes in a self-learning security system and will be able to efficiently breach a machine learning system. What you will learn Take an in-depth look at machine learning Get to know natural language processing (NLP) Understand malware feature engineering Build generative adversarial networks using Python libraries Work on threat hunting with machine learning and the ELK stack Explore the best practices for machine learning Who this book is for This book is for pen testers and security professionals who are interested in learning techniques to break an intelligent security system. Basic knowledge of Python is needed, but no prior knowledge of machine learning is necessary.

Incident Response with Threat Intelligence

Practical insights into developing an incident response capability through intelligence-based threat hunting Roberto Martinez. Starting ELK stack services As in the previous chapter, we will use the ELK stack to hunt for malicious ...

Author: Roberto Martinez

Publisher: Packt Publishing Ltd

ISBN: 9781801070997

Category: Computers

Page: 468

View: 138

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Learn everything you need to know to respond to advanced cybersecurity incidents through threat hunting using threat intelligence Key Features Understand best practices for detecting, containing, and recovering from modern cyber threats Get practical experience embracing incident response using intelligence-based threat hunting techniques Implement and orchestrate different incident response, monitoring, intelligence, and investigation platforms Book Description With constantly evolving cyber threats, developing a cybersecurity incident response capability to identify and contain threats is indispensable for any organization regardless of its size. This book covers theoretical concepts and a variety of real-life scenarios that will help you to apply these concepts within your organization. Starting with the basics of incident response, the book introduces you to professional practices and advanced concepts for integrating threat hunting and threat intelligence procedures in the identification, contention, and eradication stages of the incident response cycle. As you progress through the chapters, you'll cover the different aspects of developing an incident response program. You'll learn the implementation and use of platforms such as TheHive and ELK and tools for evidence collection such as Velociraptor and KAPE before getting to grips with the integration of frameworks such as Cyber Kill Chain and MITRE ATT&CK for analysis and investigation. You'll also explore methodologies and tools for cyber threat hunting with Sigma and YARA rules. By the end of this book, you'll have learned everything you need to respond to cybersecurity incidents using threat intelligence. What you will learn Explore the fundamentals of incident response and incident management Find out how to develop incident response capabilities Understand the development of incident response plans and playbooks Align incident response procedures with business continuity Identify incident response requirements and orchestrate people, processes, and technologies Discover methodologies and tools to integrate cyber threat intelligence and threat hunting into incident response Who this book is for If you are an information security professional or anyone who wants to learn the principles of incident management, first response, threat hunting, and threat intelligence using a variety of platforms and tools, this book is for you. Although not necessary, basic knowledge of Linux, Windows internals, and network protocols will be helpful.

Security Privacy and Forensics Issues in Big Data

ELK Stack architecture (Berman, 2018) • Data Preprocessing: Security-relevant logs in a large enterprise can grow by terabytes per day. Handling, cleaning, and processing this ... 173 Threat Hunting in Windows Using Big Security Log Data.

Author: Joshi, Ramesh C.

Publisher: IGI Global

ISBN: 9781522597445

Category: Computers

Page: 456

View: 484

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With the proliferation of devices connected to the internet and connected to each other, the volume of data collected, stored, and processed is increasing every day, which brings new challenges in terms of information security. As big data expands with the help of public clouds, traditional security solutions tailored to private computing infrastructures and confined to a well-defined security perimeter, such as firewalls and demilitarized zones (DMZs), are no longer effective. New security functions are required to work over the heterogenous composition of diverse hardware, operating systems, and network domains. Security, Privacy, and Forensics Issues in Big Data is an essential research book that examines recent advancements in big data and the impact that these advancements have on information security and privacy measures needed for these networks. Highlighting a range of topics including cryptography, data analytics, and threat detection, this is an excellent reference source for students, software developers and engineers, security analysts, IT consultants, academicians, researchers, and professionals.