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performing-aws-account-enumeration-with-scout-suite

Run the agentless, open-source ScoutSuite tool (via pip install and the `scout` CLI)

执行命令读文件写文件读环境变量(配置)严重 0 · 高危 4mukul975/Anthropic-Cybersecurity-Skills

它会碰到什么

扫了多少8 个文本文件,47 KB
它会碰到什么执行命令读文件写文件读环境变量(配置)
命中总数9 处
命中统计严重 0 · 高 4 · 中 4 · 低 0

关于「读环境变量(配置)」:这个技能会读 process.env 之类的环境变量,但读到的都是端口、目录、超时这类配置项,没有读取密钥类变量。扫描规则原本把「读环境变量」一律算作「读凭据」,本站按变量名做了细化区分,命中明细仍如实列在下面。

逐条看命中(4 条严重或高危)
  • scripts/agent.py:18cred-envread
    custom_path = os.environ.get("SCOUTSUITE_PATH")
  • scripts/agent.py:22cred-envread
    for directory in os.environ.get("PATH", "").split(os.pathsep):
  • scripts/agent.py:51exec-spawn
    result = subprocess.run(
  • scripts/process.py:37exec-spawn
    result = subprocess.run(cmd, capture_output=True, text=True)

这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。

技能内容

Performing AWS Account Enumeration with ScoutSuite

Overview

ScoutSuite is an open-source multi-cloud security auditing tool developed by NCC Group that enables comprehensive security posture assessment of AWS environments. It queries AWS APIs to gather configuration data across all services, stores results locally, and generates interactive HTML reports highlighting high-risk areas. ScoutSuite is agentless and works by analyzing how cloud resources are configured, accessed, and monitored.

When to Use

  • When conducting security assessments that involve performing aws account enumeration with scout suite
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • Python 3.6+ installed
  • AWS CLI configured with appropriate IAM credentials
  • Read-only IAM permissions across target AWS services (SecurityAudit managed policy recommended)
  • pip package manager for ScoutSuite installation
  • Network access to AWS API endpoints

Installation and Setup

Install ScoutSuite

pip install scoutsuite

Verify installation

scout --version

Configure AWS credentials

aws configure
# Or use environment variables:
export AWS_ACCESS_KEY_ID=<your-key>
export AWS_SECRET_ACCESS_KEY=<your-secret>
export AWS_DEFAULT_REGION=us-east-1

Required IAM Policy

Attach the AWS managed policy SecurityAudit and ViewOnlyAccess to the IAM user or role running ScoutSuite. For comprehensive scanning, a custom policy may be needed:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "acm:Describe*",
        "acm:List*",
        "cloudformation:Describe*",
        "cloudformation:Get*",
        "cloudformation:List*",
        "cloudtrail:Describe*",
        "cloudtrail:Get*",
        "cloudtrail:List*",
        "cloudwatch:Describe*",
        "cloudwatch:Get*",
        "cloudwatch:List*",
        "config:Describe*",
        "config:Get*",
        "config:List*",
        "dynamodb:Describe*",
        "dynamodb:List*",
        "ec2:Describe*",
        "ec2:Get*",
        "elasticloadbalancing:Describe*",
        "iam:Generate*",
        "iam:Get*",
        "iam:List*",
        "iam:Simulate*",
        "kms:Describe*",
        "kms:Get*",
        "kms:List*",
        "lambda:Get*",
        "lambda:List*",
        "logs:Describe*",
        "logs:Get*",
        "rds:Describe*",
        "rds:List*",
        "redshift:Describe*",
        "route53:Get*",
        "route53:List*",
        "s3:Get*",
        "s3:List*",
        "ses:Get*",
        "ses:List*",
        "sns:Get*",
        "sns:List*",
        "sqs:Get*",
        "sqs:List*",
        "ssm:Describe*",
        "ssm:Get*",
        "ssm:List*"
      ],
      "Resource": "*"
    }
  ]
}

Running ScoutSuite

Full AWS scan

scout aws

Scan specific services only

scout aws --services s3 iam ec2 rds

Scan specific regions

scout aws --regions us-east-1 us-west-2 eu-west-1

Use an assumed role for cross-account scanning

scout aws --profile target-account-profile

Exclude specific services from scan

scout aws --skip iam ec2

Specify output directory

scout aws --report-dir /tmp/scoutsuite-reports/

Report Analysis

ScoutSuite generates an interactive HTML report stored locally. The report includes:

  1. Dashboard: Overview of findings by severity (danger, warning, good)
  2. Service-level findings: Grouped by AWS service (IAM, S3, EC2, RDS, etc.)
  3. Rule-based checks: Each finding maps to a security best practice rule
  4. Resource inventory: Complete listing of enumerated resources

Key areas to review in the report

| Service | Critical Checks |

|---------|----------------|

| IAM | Root account MFA, password policy, unused credentials, overprivileged policies |

| S3 | Public buckets, unencrypted buckets, versioning disabled, logging disabled |

| EC2 | Security groups with 0.0.0.0/0, unencrypted EBS volumes, public IPs |

| RDS | Public accessibility, unencrypted databases, backup retention |

| CloudTrail | Logging disabled, log file validation, multi-region disabled |

| Lambda | Public access, environment variable secrets, VPC configuration |

Interpreting Findings

Severity Levels

  • Danger (Red): Critical security issues requiring immediate remediation (e.g., S3 buckets with public write access)
  • Warning (Orange): Moderate risk findings that should be addressed (e.g., unused IAM access keys)
  • Good (Green): Security best practices that are properly configured

Common High-Risk Findings

  1. IAM root account without MFA: The AWS root account has no multi-factor authentication enabled
  2. S3 bucket policy allows public access: Bucket policies with Principal set to "*"
  3. Security group allows unrestricted SSH: Inbound rule allowing 0.0.0.0/0 on port 22
  4. CloudTrail not enabled in all regions: Audit logging gaps allow unmonitored API activity
  5. RDS instance publicly accessible: Database endpoints reachable from the internet

Remediation Workflow

  1. Run ScoutSuite scan to establish baseline
  2. Export findings and prioritize by severity
  3. Create remediation tickets for danger and warning findings
  4. Implement fixes (update security groups, enable encryption, restrict access)
  5. Re-run ScoutSuite to verify remediation
  6. Schedule regular scans (weekly or after infrastructure changes)

Integration with CI/CD

# Run ScoutSuite in CI/CD pipeline and fail on danger findings
scout aws --services s3 iam ec2 --no-browser --report-dir ./scout-report/

# Parse results programmatically
python -c "
import json
with open('./scout-report/scoutsuite-results/scoutsuite_results.json') as f:
    results = json.load(f)
    for service in results.get('services', {}):
        findings = results['services'][service].get('findings', {})
        for finding_id, finding in findings.items():
            if finding.get('flagged_items', 0) > 0 and finding.get('level') == 'danger':
                print(f'CRITICAL: {finding_id} - {finding.get(\"description\", \"\")}')
"

Multi-Cloud Capability

ScoutSuite supports multiple cloud providers using the same framework:

# Azure
scout azure --cli

# GCP
scout gcp --user-account

# AWS with specific profile
scout aws --profile production

References

  • ScoutSuite GitHub Repository: https://github.com/nccgroup/ScoutSuite
  • AWS Security Audit Checklist
  • CIS AWS Foundations Benchmark
  • AWS Well-Architected Security Pillar

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