Security

November 18, 2021

5 Minute Read

Securing DevSecOps - Threat Research Release October 2021

DevSecOps stands for Development, Security and Operations. This is a practice aimed to automate or design security integration throughout the software development lifecycle or workflow.

Nowadays, collaborative frameworks and projects that share security protocols from end to end are really common, so DevSecOps practices attempt to emphasize building infrastructure with a strong security foundation and stable automation workflow and phases.

Watch the video below to learn more about Securing DevSecOps.

Some of the tools and workflow we used to illustrate the DevSecOps lifecycle are shown below:

GDrive (Plan Phase): plan,track and manage software development of this project
GitHub (Code Phase): Contains the version controlled code
Semgrep (Build Phase): Code Quality, Code Security, Vulnerability Scanning of the application
CircleCI (Test Phase): CI/CD pipelines
AWS Elastic Container Registry (Release Phase): Storage of Docker Images used for the application
Kube-Hunter (Deploy Phase): Security Scanner for Kubernetes Cluster
Kubernetes (Operate Phase): Container Deployment, Scaling and Management
Splunk (Monitor Phase): To monitor all these tools

The goal of this blog is to focus on detecting various suspicious scenarios or anomalies that may happen within the phases of the DevSecOps lifecycle: Plan, Code, Build, Test, Release, Deploy, Operate and Monitor.

In order to accomplish this, Splunk Threat Research Team created a simple proof-of-concept web application to collect events and study the phases of DevSecOps lifecycle. The architecture for this simple web application can be seen below:

The website built on a modern web development stack looks like this:

With this proof-of-concept and other system that may give us insight to the DevSecOps phases, we develop detections that includes the following:

These detections are designed to leverage AWS logs to monitor AWS Elastic Container Service (ECR) events for possible anomalies and suspicious behavior in the Release phase of DevSecOPs:

Detections related to bypassing circle CI security features to stop or disturb the Build phase of the workflow:

Detections for possible anomalies and suspicious modification or pulling of code and disabling security features in github Code phase workflow:

Detections for suspicious GSuite events as part of the initial stage of attack or Plan phase of the DevSecOps workflow:

And these detections are designed for suspicious events happening in the Deploy or Operate Phase of the DevSecOps workflow.

A Summary of all Detections In Security Content for the Dev Sec Ops Analytics

Name	Technique ID	Tactic	Description
CircleCI Disable Security Job	T1554	Persistence	This search looks for disable security jobs in the CircleCI pipeline.
CircleCI Disable Security Step	T1554	Persistence	This search looks for disable security step in the CircleCI pipeline.
GitHub Commit Changes In Master	T1199	Initial Access	This search is to detect push or commit to master or main branch.
GitHub Commit In Develop	T1199	Initial Access	This search is to detect a push or commit to a Develop branch.
GitHub Dependabot Alert	T1195.001	Initial Access	This search looks for Dependabot Alerts in Github logs.
GitHub Pull Request From Unknown User	T1195.001	Initial Access	This search looks for Pull Request from unknown user
GSuite Drive Share In External Email	T1567.002	Exfiltration	This search is to detect suspicious google drive or google docs filesshared outside or externally
GSuite Email Suspicious Attachment	T1566.001	Initial Access	This search is to detect a suspicious attachment file extension in GSuite email that may related to spear phishing attack
GSuite Email Suspicious Subject With Attachment	T1566.001	Initial Access	This search is to detect a GSuite email contains suspicious subject having known file type used in spear phishing
GSuite Email With Known Abuse Web Service Link	T1566.001	Initial Access	This analytics is to detect a gmail containing a link that are knownto be abused by malware or attacker like pastebin, telegram and discord to deliver malicious payload
GSuite Outbound Email With Attachment To External Domain	T1048.003	Exfiltration	This search is to detect a suspicious outbound e-mail from internal email to external email domain.
GSuite Suspicious Shared File Name	T1566.001	Initial Access	This search is to detect a shared file in google drive with suspiciousfile name that are commonly used by spear phishing campaign
Kubernetes Nginx Ingress LFI	T1212	Credential Access	This search uses the Kubernetes logs from a nginx ingress controllerto detect local file inclusion attacks
Kubernetes Nginx Ingress RFI	T1212	Credential Access	This search uses the Kubernetes logs from a nginx ingress controllerto detect remote file inclusion attacks
Kubernetes Scanner Image Pulling	T1526	Discovery	This search uses the Kubernetes logs from Splunk Connect from Kubernetesto detect Kubernetes Security Scanner
AWS ECR Container Scanning Findings High	T1204.003	Execution	This search looks for AWS CloudTrail events for scanning high findings ecr info
AWS ECR Container Scanning Findings Low Informational Unknown	T1204.003	Execution	This search looks for AWS CloudTrail events for scanning low findings ecr info
AWS ECR Container Scanning Findings Medium	T1204.003	Execution	This search looks for This search looks for AWS CloudTrail events for scanning medium findings ecr info
AWS ECR Container Upload Outside Business Hours	T1204.003	Execution	This search looks for AWS CloudTrail events for upload outside business hours
AWS ECR Container Upload Unknown User	T1204.003	Execution	This search looks for AWS CloudTrail events for upload made by unknown users.

Automating with SOAR Playbooks

Many of the detections we’ve created as part of this Analytic Story are of the type Anomaly. If you’re unfamiliar with the types of analytics we create, you can read more about them here. Anomaly analytics do not necessarily indicate an attack, but can be used to modify risk. With that being said, the Splunk Threat Research Team wants to highlight the Risk Notable Playbook Pack released by Philip Royer and Kelby Shelton. You can view the talk they presented at .conf21 that highlights these playbooks here. These are available today, in product, for all Splunk SOAR customers. The implementation guide is available on docs.splunk.com and you can preview any individual playbook within this pack on research.splunk.com.

Why Should You Care?

We call DevSecOps a practice for a reason. DevSecOps isn’t a checkbox or a thing you can do sometimes. For an organization to practice DevSecOps, they need to integrate aspects of it into their day to day activities. These new methods of developing software come with their own risks and exposures. The Splunk Threat Research Team’s DevSecOps analytic story can help you mitigate those risks as you go.

Learn More

You can find the latest content about security analytic stories on GitHub and in Splunkbase. Splunk Security Essentials also has all these detections now available via push update. In the upcoming weeks, the Splunk Threat Research team will be releasing a more detailed blog post on this analytic story. Stay tuned!

For a full list of security content, check out the release notes on Splunk Docs.

Feedback

Any feedback or requests? Feel free to put in an issue on Github and we’ll follow up. Alternatively, join us on the Slack channel #security-research. Follow these instructions If you need an invitation to our Splunk user groups on Slack.

Contributors

We would like to thank the following for their contributions to this post.

Patrick Bareiss
Lou Stella
Teoderick Contreras

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