Analytics Story: Suspicious Cloud User Activities

Description

Detect and investigate suspicious activities by users and roles in your cloud environments.

Why it matters

It seems obvious that it is critical to monitor and control the users who have access to your cloud infrastructure. Nevertheless, it's all too common for enterprises to lose track of ad-hoc accounts, leaving their servers vulnerable to attack. In fact, this was the very oversight that led to Tesla's cryptojacking attack in February, 2018. In addition to compromising the security of your data, when bad actors leverage your compute resources, it can incur monumental costs, since you will be billed for any new instances and increased bandwidth usage.

Detections

Name ▲▼ Technique ▲▼ Type ▲▼
Abnormally High Number Of Cloud Infrastructure API Calls Cloud Accounts, Valid Accounts Anomaly
Abnormally High Number Of Cloud Security Group API Calls Cloud Accounts, Valid Accounts Anomaly
AWS IAM AccessDenied Discovery Events Cloud Infrastructure Discovery Anomaly
AWS Lambda UpdateFunctionCode User Execution Hunting
Cloud API Calls From Previously Unseen User Roles Valid Accounts Anomaly
Cloud Security Groups Modifications by User Modify Cloud Compute Configurations Anomaly

Data Sources

Name ▲▼ Platform ▲▼ Sourcetype ▲▼ Source ▲▼
AWS CloudTrail AWS icon AWS aws:cloudtrail aws_cloudtrail

References


Source: GitHub | Version: 1