Palestra sobre proteção de pipeline DevOps e IaC no TDC Brasil - Março 2021

1. Protecting Pipeline
DevOps and IaC
Fernando Cardoso
Solution Architect for AWS Alliance

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Surprising facts about Containers

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Surprising facts about Containers
Gartner predicts that by 2022, more than 75% of global organiza;ons will be running
containerized applica;ons in produc;on, up from less than 30% today.

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Security facts about Containers and Kubernetes
• CVE-2019-11253 (High)
• CVE-2020-8559 (Medium)
• CVE-2020-8555 (Medium)
• CVE-2020-8551 (Medium)
• CVE-2020-8554 (Medium)
• CVE-2020-8558 (Low)
Some of the recently
Kubernetes Vulnerabilities:

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Container security concerns broadly relate to:
• The foundation layers of your application
• Possible vulnerabilities in the platform and dependencies used by microservices
• The security of your application within the container
• The integrity of the build pipeline
• Container network traffic
• The security of the container host
• Privileged container
• Malicious behavior from containers
• Securing your container management stack

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Blame Game
Source: https://www.devseccon.com/devops-with-a-spice-of-culture-secadvent-day-23/

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1º Secure your build pipeline
Endpoint
Protection Least Privilege Access to
repository, application, and
infrastructure
Make sure the
Runtime Protection is
in place

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2º Build on a secure founda;on
Dockerfile
DockerHub
Snyk Dependencies
Scanning

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2º Build on a secure foundation
• Detect the Vulnerabilities in the
Operation System used by your
container Image
• Detect the Vulnerabilities in the
Application Platform
• Detect the Vulnerabilities in the
Dependencies from your Application

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3º Secure your applica;on
• Unit Test - are typically automated tests written and run by software developers to ensure
that a section of an application meets its design and behaves as intended.
• SAST - Static code analysis is a method of debugging done by examining an application’s
source code before a program is run. This is usually done by analyzing the code against a
given set of rules or coding standards.
• DAST - Dynamic code analysis is the method of debugging by examining an application
during or after a program is run. Since the source code could be run with a variety of
different inputs, there isn’t a given set of rules that can cover this style.

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Open-Source tool that
performs static code
analysis
C#
Java
Kotlin
Python
Ruby
Golang
Terraform
Javascript
Typescript
Kubernetes
PHP
C
HTML
JSON
Dart
Elixir
Shell

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4º Secure the container host

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5º Secure the networking environment
Docker Engine
Operating System
Kubernetes
App
A
App
B
App
C
App
D
App
E
App
F
Containerized Apps
Internet
• Traffic moving north-south, to and from the
internet to stop attacks and filter malicious
content.
• Monitor east-west, inner-container, traffic.
After attackers gain a foothold in a network,
they look to move laterally to expand their
reach
Ability to Detect and Prevent

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6º Secure your management stack
Container
Image
Scanning
integrated to
Container
Registries
Protect the Master
and
API’s communication
Protect the Node
and apply
security policies
for microservices

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Full Architecture

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But, how can I
validate the
infrastructure
created or that will
be create in the
cloud for my
Applications?

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Git
Repository
CI/CD
Cloud
Build
Template Scanner
𝒇(𝑥) 𝒇(𝑥)
IDE – Plugin
VSCode
Template Scanner
through the APIs
Instances / Container Hosts
Serverless
Storages / Database
Cloud Secure
Posture
Management
• Multi-Cloud Visibility
• Compliance
• Real-time Monitoring
Infrastructure as a Code - Pipeline
Support Ticket System
GitHub Actions
Integration

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Shift-Left Security – Plugin in the IDE
GitHub with some examples

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Conclusion
"The containers/microservices offers numerous benefits
for your business, as long you have the right policies,
“right use“, and security tools to protect it from possible
mistakes, vulnerabilities and attacks in this very agile
environment that are containers."

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Fernando Cardoso
fernando_cardoso@trendmicro.com
@fernando0stc
Fernando0stc