Securing DevOps
Security in the Cloud
Julien Vehent
  • August 2018
  • ISBN 9781617294136
  • 384 pages
  • printed in black & white

Provides both sound ideas and real-world examples. A must-read.

Adrien Saladin, PeopleDoc

Securing DevOps explores how the techniques of DevOps and security should be applied together to make cloud services safer. This introductory book reviews the latest practices used in securing web applications and their infrastructure and teaches you techniques to integrate security directly into your product. You'll also learn the core concepts of DevOps, such as continuous integration, continuous delivery, and infrastructure as a service.

Table of Contents detailed table of contents

1 Securing DevOps

1.1 The DevOps approach

1.1.1 Continuous integration

1.1.2 Continuous delivery

1.1.3 Infrastructure as a service

1.1.4 Culture and trust

1.2 Security in DevOps

1.3 Continuous security

1.3.1 Test-driven security

1.3.2 Monitoring and responding to attacks

1.3.3 Assessing risks and maturing security

Part 1: Case study: applying layers of security to a simple DevOps pipeline

2 Building a barebones DevOps pipeline

2.1 Implementation roadmap

2.2 The code repository: GitHub

2.3 The CI platform: CircleCI

2.4 The container repository: Docker Hub

2.5 The production infrastructure: Amazon Web Services

2.5.1 Three-tier architecture

2.5.2 Configuring access to AWS

2.5.3 Virtual Private Cloud

2.5.4 Creating the database tier

2.5.5 Creating the first two tiers with Elastic Beanstalk

2.5.6 Deploying the container onto your systems

2.6 A rapid security audit

3 Security layer 1: protecting web applications

3.1 Securing and testing web apps

3.2 Website attacks and content security

3.2.1 Cross-site scripting and Content-Security Policy

3.2.2 Cross-site request forgery

3.2.3 Clickjacking and IFrames protection

3.3 Methods for authenticating users

3.3.1 HTTP basic authentication

3.3.2 Password management

3.3.3 Identity providers

3.3.5 Testing authentication

3.4 Managing dependencies

3.4.1 Golang vendoring

3.4.2 Node.js package management

3.4.3 Python requirements

4 Security layer 2: protecting cloud infrastructures

4.1 Securing and testing cloud infrastructure: the deployer app

4.1.1 Setting up the deployer

4.1.2 Configuration notifications between Docker Hub and the deployer

4.1.3 Running tests against the infrastructure

4.1.4 Updating the invoicer environment

4.2 Restricting network access

4.2.1 Testing security groups

4.2.2 Opening access between security groups

4.3 Building a secure entry point

4.3.1 Generating SSH keys

4.3.2 Creating a bastion host in EC2

4.3.3 Enabling two-factor authentication with SSH

4.3.4 Sending notifications on accesses

4.3.5 General security considerations

4.3.6 Opening access between security groups

4.4 Controlling access to the database

4.4.1 Analyzing the database structure

4.4.2 Roles and permissions in PostgreSQL

4.4.3 Defining fine-grained permissions for the invoicer application

4.4.4 Asserting permissions in the deployer

5 Security layer 3: securing communications

5.1 What does it mean to secure communications?

5.1.1 Early symmetric cryptography

5.1.2 Diffie-Hellman and RSA

5.1.3 Public-key infrastructures

5.1.4 SSL and TLS

5.2 Understanding SSL/TLS

5.2.1 The certificate chain

5.2.2 The TLS handshake

5.2.3 Perfect forward secrecy

5.3 Getting applications to use HTTPS

5.3.1 Obtaining certificates from AWS

5.3.2 Obtaining certificates from Let’s Encrypt

5.3.3 Enabling HTTPS on AWS ELB

5.4 Modernizing HTTPS

5.4.1 Testing TLS

5.4.2 Implementing Mozilla’s Modern guidelines

5.4.3 HSTS: Strict Transport Security

5.4.4 HPKP: Public Key Pinning

6 Security layer 4: securing the delivery pipeline

6.1 Access control to code-management infrastructure

6.1.1 Managing permissions in a GitHub organization

6.1.2 Managing permissions between GitHub and CircleCI

6.1.3 Signing commits and tags with Git

6.2 Access control for container storage

6.2.1 Managing permissions between Docker Hub and CircleCI

6.2.2 Signing containers with Docker Content Trust

6.3 Access control for infrastructure management

6.3.1 Managing permissions using AWS roles and policies

6.3.2 Distributing secrets to production systems

Part 2: Watching for anomalies and protecting services against attacks

7 Collecting and storing logs

7.1 Collecting logs from systems and applications

7.1.1 Collecting logs from systems

7.1.2 Collecting application logs

7.1.3 Infrastructure logging

7.1.4 Collecting logs from GitHub

7.2 Streaming log events through message brokers

7.3 Processing events in log consumers

7.4 Storing and archiving logs

7.5 Accessing logs

8 Analyzing logs

8.1 Architecture of a log-analysis layer

8.2 Detecting attacks using string signatures

8.3 Statistical models for fraud detection

8.3.1 Sliding windows and circular buffers

8.3.2 Moving averages

8.4 Using geographic data to find abuses

8.4.1 Geo-profiling users

8.4.2 Calculating distances

8.4.3 Finding a user’s normal connection area

8.5 Detecting anomalies in known patterns

8.5.1 User-agent signature

8.5.2 Anomalous browser

8.5.3 Interaction patterns

8.6 Raising alerts to operators and end users

8.6.1 Escalating security events to operators

8.6.2 How and when to notify end users

9 Detecting intrusions

9.1 The seven phases of an intrusion: the kill chain

9.2 What are indicators of compromise?

9.3 Scanning endpoints for IOCs

9.4 Inspecting network traffic with Suricata

9.4.1 Setting up Suricata

9.4.2 Monitoring the network

9.4.3 Writing rules

9.4.4 Using predefined rule-sets

9.5 Finding intrusions in system-call audit logs

9.5.1 The execution vulnerability

9.5.2 Catching fraudulent executions

9.5.3 Monitoring the filesystem

9.5.4 Monitoring the impossible

9.6 Trusting humans to detect anomalies

10 The Caribbean breach: a case study in incident response

10.1 The Caribbean breach

10.2 Identification

10.3 Containment

10.4 Eradication

10.4.1 Capturing digital forensics artifacts in AWS

10.4.2 Outbound IDS filtering

10.4.3 Hunting IOCs with MIG

10.5 Recovery

10.6 Lessons learned and the benefits of preparation

Part 3: Maturing DevOps security

11 Assessing risks

11.1 What is risk management?

11.2 The CIA triad

11.2.1 Confidentiality

11.2.2 Integrity

11.2.3 Availability

11.3 Establishing the top threats to an organization

11.4 Quantifying the impact of risks

11.4.1 Finances

11.4.2 Reputation

11.4.3 Productivity

11.5 Identifying threats and measuring vulnerability

11.5.1 The STRIDE threat-modeling framework

11.5.2 The DREAD threat-modeling framework

11.6 Rapid risk assessment

11.6.1 Gathering information

11.6.2 Establishing a data dictionary

11.6.3 Identifying and measuring risks

11.6.4 Making recommendations

11.7 Recording and tracking risks

11.7.1 Accepting, rejecting, and delegating risks

11.7.2 Revisiting risks regularly

12 Testing security

12.1 Maintaining security visibility

12.2 Auditing internal applications and services

12.2.1 Web-application scanners

12.2.2 Fuzzing

12.2.3 Static code analysis

12.2.4 Auditing Cloud Infrastructure

12.3 Red teams and external pen testing

12.4 Bug bounty programs

13 Continuous security

13.1 Practice and repetition: 10,000 hours of security

13.2 Year 1: Integrating security into DevOps

13.2.1 Don’t judge too early

13.2.2 Test everything and make dashboards

13.3 Year 2: Preparing for the worst

13.3.1 Avoid duplicating infrastructure

13.3.2 Build versus buy

13.3.3 Getting breached

13.4 Year 3: Driving the change

13.4.1 Revisit security priorities

13.4.2 Progressing iteratively

About the Technology

An application running in the cloud can benefit from incredible efficiencies, but they come with unique security threats too. A DevOps team’s highest priority is understanding those risks and hardening the system against them.

About the book

Securing DevOps teaches you the essential techniques to secure your cloud services. Using compelling case studies, it shows you how to build security into automated testing, continuous delivery, and other core DevOps processes. This experience-rich book is filled with mission-critical strategies to protect web applications against attacks, deter fraud attempts, and make your services safer when operating at scale. You’ll also learn to identify, assess, and secure the unique vulnerabilities posed by cloud deployments and automation tools commonly used in modern infrastructures.

What's inside

  • An approach to continuous security
  • Implementing test-driven security in DevOps
  • Security techniques for cloud services
  • Watching for fraud and responding to incidents
  • Security testing and risk assessment

About the reader

Readers should be comfortable with Linux and standard DevOps practices like CI, CD, and unit testing.

About the author

Julien Vehent is a security architect and DevOps advocate. He leads the Firefox Operations Security team at Mozilla, and is responsible for the security of Firefox’s high-traffic cloud services and public websites.

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