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Next-generation AWS Cloud Adversary Emulation platform

Project description

Atlas

AWS Cloud Adversary Emulation Platform


⚠️ This tool is still under development. APIs and behavior may change. Use with caution in production environments.


Contributing Red Team Techniques

We welcome contributions of new red team techniques. If you have attack paths, privilege escalation methods, or AWS abuse techniques you'd like to add to Atlas, please open an issue or submit a pull request. The planner and attack graph are designed to be extended—see src/atlas/planner/attack_graph.py and src/atlas/knowledge/data/api_detection_profiles.yaml for how techniques are modeled.


What is Atlas?

Atlas is a next-generation AWS cloud adversary emulation platform. It helps red teams and security researchers:

  • Discover attack paths from a given identity (recon + attack graph)
  • Plan multi-step privilege escalation chains
  • Simulate execution without making AWS API calls
  • Execute attack paths with configurable stealth and safety guardrails
  • Explain attack paths with AI-powered or template-based explanations

Requirements

  • Python 3.12+
  • AWS credentials configured (e.g. ~/.aws/credentials)

Installation

Install from PyPI (recommended):

pip install atlas-redteam

Or with pipx (isolated environment, no venv needed):

pipx install atlas-redteam

Update to latest version:

pip install --upgrade atlas-redteam
# or
pipx upgrade atlas-redteam

For development (editable install):

git clone https://github.com/Haggag-22/Atlas.git
cd Atlas
pip install -e ".[dev]"

Quick Start

# Configure AWS profile
atlas config --profile my-profile --region us-east-1

# Run recon + planning (creates a case)
atlas plan --case mycase

# List attack paths and simulate
atlas simulate --case mycase --attack-path AP-01

# Explain an attack path
atlas explain --case mycase --attack-path AP-01

# Open the GUI
atlas gui --case mycase

Commands

Command Description
atlas config Set or show AWS profile and region
atlas plan Run reconnaissance + planning, save to output/<case>/plan/
atlas simulate Simulate an attack path (no AWS calls)
atlas run Execute an attack path (uses AWS)
atlas cases List saved cases
atlas explain Explain an attack path (AI or template)
atlas gui Open the Streamlit web UI
atlas inspect Inspect detection profiles for API actions

Output Structure

output/<case>/
├── case.json           # Case metadata
├── plan/               # Recon + planning
│   ├── env_model.json
│   ├── attack_edges.json
│   ├── attack_paths.json
│   └── ...
├── sim/                # Simulation results (if run)
├── run/                # Execution results (if run)
└── explanations.json   # Cached AI/template explanations

Attack Techniques (Examples)

Atlas models techniques such as:

  • Role assumption (sts:AssumeRole)
  • Access key creation (iam:CreateAccessKey)
  • Policy attachment (iam:AttachUserPolicy, iam:AttachRolePolicy)
  • Inline policy injection (iam:PutUserPolicy, iam:PutRolePolicy)
  • PassRole abuse (Lambda, etc.)
  • Trust policy modification (iam:UpdateAssumeRolePolicy)
  • Lambda code injection
  • S3 read/write access

Detection costs and noise levels are derived from CloudTrail and GuardDuty profiles in src/atlas/knowledge/.


Discovered Resources

The recon engine collects the following resource types (configurable via recon.resource_types):

Resource Service Key Security Data
S3 Buckets S3 Bucket policies, Public Access Block
EC2 Instances EC2 Instance profiles, IMDS config, security groups
Lambda Functions Lambda Execution roles, resource policies, environment variables
RDS Instances RDS Public accessibility, encryption, IAM auth, snapshots
KMS Keys KMS Key policies, grants, rotation status
Secrets Manager Secrets Secrets Manager Resource policies, rotation, KMS encryption
SSM Parameters SSM Parameter types (SecureString), KMS key IDs
CloudFormation Stacks CloudFormation Stack roles, capabilities, outputs

License

MIT

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