Bike4Mind Security Incident Response Plan
1. Incident Response Team Structure
Role | Responsibility | Primary Contact | Secondary Contact |
---|---|---|---|
Incident Commander | Coordinates response, makes critical decisions | CTO | Lead Developer |
Technical Lead | Leads investigation and containment | Lead Security Engineer | DevOps Lead |
Communications Lead | Manages internal/external communications | Product Manager | CEO |
Legal Counsel | Advises on legal obligations | Legal Firm (TBD) | General Counsel |
Forensic Specialist | Conducts detailed investigation | External Partner (TBD) | Security Engineer |
Recovery Lead | Manages recovery operations | DevOps Lead | Infrastructure Engineer |
2. External Resources
Resource | Purpose | Contact Information |
---|---|---|
Forensic Specialist Firm | Advanced investigation | [Partner to be selected] |
Legal Specialist | Compliance and disclosure guidance | [Legal firm to be selected] |
AWS Support | Infrastructure assistance | Enterprise Support (establish account contact) |
MongoDB Atlas Support | Database assistance | Technical Account Manager (establish contact) |
Law Enforcement | Criminal investigation | FBI Cyber Division: (xxx) xxx-xxxx |
3. Incident Classification Matrix
Level | Description | Example | Response Time | Notification |
---|---|---|---|---|
P1 - Critical | Active breach with data exposure | Active exfiltration, ransomware | Immediate (24/7) | Executive team, legal, affected customers |
P2 - High | Confirmed breach, limited scope | Compromised account, limited access | < 4 hours | Security team, management |
P3 - Medium | Attempted intrusion, suspicious activity | Brute force attempts, unexpected behavior | < 8 hours | Security team |
P4 - Low | Policy violation, minor vulnerability | Minor config issue, logged anomaly | < 24 hours | Team lead |
4. Incident Response Playbooks
4.1 Unauthorized Access Playbook
# Unauthorized Access Response Playbook
## Detection
- Unusual login patterns detected in logs
- Authentication anomalies
- User reports of account compromise
- Suspicious JWT token usage
## Initial Response (0-1 hours)
1. **Assign Incident Commander**
- Notify security team via #security-incidents Slack channel
- Establish communication channels
2. **Assess and Contain**
- Identify affected user account(s)
- Temporarily disable compromised accounts
- Revoke active JWT tokens and API keys
- Review SSO provider logs for OAuth-based accounts
3. **Document Initial Findings**
- Record timeline of events
- Document affected systems
- Create incident ticket in tracking system
## Investigation (1-8 hours)
1. **Gather Evidence**
- Pull auth service logs from CloudWatch
- Export MongoDB activity logs
- Collect API access logs
- Review S3 access logs
- Preserve evidence in dedicated S3 bucket
2. **Determine Access Scope**
- Identify resources accessed
- Determine data potentially compromised
- Review user permissions and group memberships
- Check for privilege escalation
3. **Identify Attack Vector**
- Review authentication logs
- Check for phishing indicators
- Analyze endpoint security logs
- Review code changes for backdoors
## Containment and Eradication (8-24 hours)
1. **Isolate Affected Systems**
- Block suspicious IP addresses
- Rotate affected secrets and credentials
- Reset user passwords
2. **Eliminate Persistence**
- Review cron jobs and scheduled tasks
- Check for unauthorized Lambda functions
- Scan for malicious code in repositories
- Review IAM roles and permissions
3. **Verify Containment**
- Confirm token revocation effectiveness
- Verify logging is capturing all authentication attempts
- Review MongoDB access controls
## Recovery (24-48 hours)
1. **Restore Service**
- Re-enable accounts with new credentials
- Deploy clean environment if necessary
- Implement additional monitoring
2. **Enhance Security Controls**
- Add additional authentication factors if needed
- Review and adjust authorization policies
- Implement additional logging
## Post-Incident (48+ hours)
1. **Document Lessons Learned**
- Hold post-mortem meeting
- Document findings and recommendations
- Update playbook based on experience
2. **Implement Improvements**
- Create tickets for security enhancements
- Schedule follow-up review
4.2 Data Breach Playbook
# Data Breach Response Playbook
## Detection
- Unusual data access patterns
- Data appearing in unauthorized locations
- Customer reports of data leakage
- External notification
## Initial Response (0-1 hours)
1. **Establish Response Team**
- Activate incident response team
- Notify legal counsel immediately
- Establish secure communication channel
2. **Contain the Breach**
- Identify affected systems and data
- Isolate compromised systems where possible
- Revoke access credentials
- Block suspicious IP addresses or users
3. **Preserve Evidence**
- Create forensic copies of affected systems
- Enable additional logging
- Begin chain-of-custody documentation
## Investigation (1-24 hours)
1. **Determine Breach Scope**
- Identify compromised data (PII, confidential)
- Determine affected customers/users
- Estimate timeframe of breach
- Document systems and data involved
2. **Forensic Analysis**
- Engage external forensic partner if needed
- Analyze access logs (MongoDB, S3, API)
- Review network traffic logs
- Examine authentication records
3. **Impact Assessment**
- Classify data sensitivity
- Determine regulatory implications
- Assess potential harm to users
- Document potential business impact
## Notification and Reporting (24-72 hours)
1. **Prepare Communications**
- Draft customer notification with legal counsel
- Prepare internal briefing documents
- Draft regulatory notifications as required
- Prepare public statement if necessary
2. **Execute Notification Plan**
- Notify affected users according to legal requirements
- File required regulatory reports
- Brief executives and board
- Establish customer support response
3. **Document Response Actions**
- Maintain detailed timeline of actions
- Document all communication and decisions
- Preserve all evidence according to retention policy
## Recovery (Ongoing)
1. **Remediate Vulnerabilities**
- Patch systems and close security gaps
- Implement additional security controls
- Verify effectiveness of remediation
2. **Restore Operations**
- Return to normal operations with enhanced monitoring
- Implement additional safeguards
- Conduct security review of related systems
## Post-Incident
1. **Conduct Post-Mortem**
- Review incident timeline and response
- Identify areas for improvement
- Update security controls and policies
2. **Long-term Remediation**
- Implement architectural improvements
- Enhance monitoring and detection capabilities
- Update training and awareness programs
4.3 Infrastructure Compromise Playbook
# Infrastructure Compromise Response Playbook
## Detection
- Unauthorized infrastructure changes
- Unusual resource usage or billing spikes
- Unexpected API calls or Lambda executions
- Security alerts from AWS or monitoring tools
## Initial Response (0-2 hours)
1. **Assess Scope and Impact**
- Identify affected AWS resources
- Determine if production systems are impacted
- Check for data access or exfiltration
- Establish secure communications channel
2. **Immediate Containment**
- Isolate compromised resources
- Rotate AWS access keys
- Review and lock down IAM permissions
- Capture snapshot of current infrastructure state
## Investigation (2-12 hours)
1. **Infrastructure Audit**
- Review CloudTrail logs for unauthorized actions
- Analyze IAM credential usage
- Check for unauthorized resources
- Review network traffic patterns
- Examine S3 bucket access logs
2. **Root Cause Analysis**
- Identify entry point (leaked credentials, etc.)
- Determine attack timeline
- Document attacker activities
- Assess if attack is ongoing
## Containment and Eradication (12-24 hours)
1. **Remove Attacker Access**
- Rotate all credentials
- Update security groups and NACLs
- Remove unauthorized resources
- Check for backdoor accounts or roles
2. **Secure Infrastructure**
- Apply necessary patches
- Update IAM policies
- Implement additional monitoring
- Enhance network security controls
## Recovery (24-48 hours)
1. **Clean Deployment**
- Deploy infrastructure from known clean templates
- Restore data from pre-compromise backups if needed
- Implement improved security controls
- Verify integrity of restored systems
2. **Verify Security Posture**
- Run security scans on new infrastructure
- Verify proper configuration
- Test detection capabilities
## Post-Incident
1. **Improve Security Architecture**
- Update infrastructure-as-code templates
- Enhance monitoring and alerting
- Implement additional security controls
- Update documentation and runbooks
5. Forensic Capabilities
5.1 Logging Requirements
System | Log Data | Retention Period | Storage Location |
---|---|---|---|
MongoDB | Authentication events, Query operations, Schema changes | 90 days | MongoDB Atlas + Log Archive |
AWS CloudTrail | API calls, Management events | 365 days | S3 bucket with object lock |
Application Logs | Authentication, Authorization decisions, Data access, API usage | 90 days | CloudWatch Logs → S3 Archive |
S3 Access Logs | Object-level operations | 90 days | Dedicated logging bucket |
JWT Token Usage | Token issuance, validation, revocation | 30 days | Application DB + Log Archive |
Infrastructure Changes | All deployment actions | 365 days | CloudTrail + Deployment logs |
5.2 Log Security Controls
// Add to sst.config.ts
import * as s3 from 'aws-cdk-lib/aws-s3';
// Create secure logging bucket with immutability
const securityLogsBucket = new s3.Bucket(stack, 'SecurityLogsBucket', {
versioned: true,
encryption: s3.BucketEncryption.S3_MANAGED,
blockPublicAccess: s3.BlockPublicAccess.BLOCK_ALL,
enforceSSL: true,
objectLockEnabled: true, // Enable object lock for compliance
});
// Configure object lock on bucket
new s3.CfnBucketPolicy(stack, 'SecurityLogsBucketPolicy', {
bucket: securityLogsBucket.bucketName,
policyDocument: {
Version: '2012-10-17',
Statement: [
{
Effect: 'Deny',
Principal: '*',
Action: 's3:DeleteObject',
Resource: `${securityLogsBucket.bucketArn}/*`,
},
],
},
});
// Add CloudTrail for comprehensive AWS API logging
const trail = new cloudtrail.Trail(stack, 'SecurityAuditTrail', {
sendToCloudWatchLogs: true,
isMultiRegionTrail: true,
enableFileValidation: true,
includeGlobalServiceEvents: true,
bucket: securityLogsBucket,
retention: 365, // days
});
5.3 Forensic Tools Implementation
// packages/client/server/security/forensics.ts
export const securityTools = {
// Log collection and aggregation tool
collectLogs: async (timeframe: { start: Date; end: Date }, resources: string[]) => {
// Implementation to gather logs from different sources
// and store them in a secure, immutable location
},
// User activity timeline generator
generateUserTimeline: async (userId: string, timeframe: { start: Date; end: Date }) => {
// Collate all user actions across systems
// into a chronological timeline
},
// Authentication audit tool
auditAuthentication: async (timeframe: { start: Date; end: Date }) => {
// Review all authentication events
// Flag unusual patterns or anomalies
},
// Database access analyzer
analyzeDatabaseAccess: async (timeframe: { start: Date; end: Date }) => {
// Review MongoDB access patterns
// Identify unusual queries or access patterns
},
// File access and modification tracker
trackFileAccess: async (s3Path: string, timeframe: { start: Date; end: Date }) => {
// Track all operations on specific S3 objects
// Identify who accessed what and when
}
};
6. Pre-Provisioned Access
6.1 Emergency Access Roles
// Add to sst.config.ts
import * as iam from 'aws-cdk-lib/aws-iam';
// Create emergency responder role
const emergencyResponderRole = new iam.Role(stack, 'EmergencyResponderRole', {
assumedBy: new iam.AccountPrincipal(stack.account), // Within same account
description: 'Role for emergency incident response',
managedPolicies: [
iam.ManagedPolicy.fromAwsManagedPolicyName('ReadOnlyAccess'),
],
});
// Add specific permissions needed for incident response
emergencyResponderRole.addToPolicy(
new iam.PolicyStatement({
effect: iam.Effect.ALLOW,
actions: [
'logs:StartQuery',
'logs:GetQueryResults',
'cloudtrail:LookupEvents',
's3:GetObject',
's3:ListBucket',
'config:GetResourceConfigHistory',
],
resources: ['*'],
})
);
// Create forensic analyst role with more privileges
const forensicAnalystRole = new iam.Role(stack, 'ForensicAnalystRole', {
assumedBy: new iam.AccountPrincipal(stack.account),
description: 'Role for forensic investigation',
managedPolicies: [
iam.ManagedPolicy.fromAwsManagedPolicyName('SecurityAudit'),
],
});
// Add specific forensic capabilities
forensicAnalystRole.addToPolicy(
new iam.PolicyStatement({
effect: iam.Effect.ALLOW,
actions: [
'ec2:CreateSnapshot',
'ec2:CreateImage',
'ec2:DescribeSnapshots',
'ec2:DescribeImages',
's3:PutObject',
's3:PutObjectLegalHold',
's3:PutObjectRetention',
],
resources: ['*'],
})
);
6.2 External Partner Access Process
# External Partner Access Process
## Prerequisites
1. Signed Incident Response Agreement
2. Signed Non-Disclosure Agreement
3. Partner contact details registered in emergency contacts
## Access Provisioning Steps
1. Incident Commander initiates partner engagement
2. DevOps creates temporary IAM user for external partner
3. Partner-specific role is assigned with time-limited credentials
4. Access information is securely shared via encrypted communication
5. Partner access is monitored via CloudTrail
6. Upon incident closure, all temporary access is revoked
## Emergency Access Contacts
- AWS Account Admin: [NAME] - [CONTACT]
- MongoDB Atlas Admin: [NAME] - [CONTACT]
- GitHub Organization Admin: [NAME] - [CONTACT]
7. Simulation and Training Program
7.1 Game Day Scenarios
Scenario | Description | Frequency | Participants |
---|---|---|---|
Credential Leak | Simulation of AWS access key posted to GitHub | Quarterly | Security team, DevOps |
Data Breach | Simulation of customer data exposed | Semi-annually | Full response team, Legal |
Ransomware Attack | Simulation of data encryption and ransom demand | Annually | Full response team, Executive team |
Insider Threat | Simulation of malicious actions by employee | Annually | Security team, HR, Legal |
Supply Chain Attack | Simulation of compromised dependency | Quarterly | Development team, Security team |
7.2 Game Day Implementation
// packages/scripts/security-gameday.ts
export async function runSecurityGameDay(scenario: string) {
// Implementation of security game day automation
switch(scenario) {
case 'credential-leak':
await simulateCredentialLeak();
break;
case 'data-breach':
await simulateDataBreach();
break;
case 'ransomware':
await simulateRansomware();
break;
// Additional scenarios
}
}
async function simulateCredentialLeak() {
// Create test AWS key with monitoring
// Generate CloudTrail events for suspicious activity
// Notify security team to respond
}
async function simulateDataBreach() {
// Create test user and data
// Generate suspicious access patterns
// Inject indicators of compromise in logs
}
7.3 Training Schedule
Training | Audience | Frequency | Format |
---|---|---|---|
IR Plan Review | All technical staff | Quarterly | Workshop |
Security Response | IR Team | Semi-annually | Tabletop exercise |
Forensic Tools | Security Team | Quarterly | Hands-on lab |
Customer Communication | Leadership, Comms | Annually | Role play |
External Partner Coordination | IR Team Leaders | Annually | Joint exercise |
8. Learning Framework
8.1 Post-Incident Analysis Template
# Security Incident Post-Mortem
## Incident Summary
- Incident ID: [ID]
- Date/Time: [DATETIME]
- Duration: [DURATION]
- Severity: [SEVERITY]
- Incident Commander: [NAME]
- Affected Systems: [SYSTEMS]
- Impact: [IMPACT]
## Timeline
- [TIMESTAMP]: Initial detection
- [TIMESTAMP]: Response team activation
- [TIMESTAMP]: Containment measures implemented
- [TIMESTAMP]: Root cause identified
- [TIMESTAMP]: Recovery completed
- [TIMESTAMP]: Incident closed
## Root Cause Analysis
- What happened:
- Why it happened:
- How it was detected:
- Why detection took that long:
- Contributing factors:
## Response Assessment
- What went well:
- What could be improved:
- Tools or resources that were missing:
- Unexpected challenges:
## Action Items
| Action | Owner | Priority | Due Date | Status |
|--------|-------|----------|----------|--------|
| [ACTION] | [OWNER] | [PRIORITY] | [DATE] | [STATUS] |
## Preventive Measures
- Technical controls:
- Process improvements:
- Policy updates:
- Training needs:
## Lessons Learned
- Key takeaways:
- Changes to IR plan:
- Information sharing recommendations:
8.2 Security Knowledge Base
// packages/client/server/security/knowledgeBase.ts
interface SecurityIncident {
id: string;
date: Date;
type: string;
severity: 'low' | 'medium' | 'high' | 'critical';
summary: string;
rootCause: string;
mitigations: string[];
lessonsLearned: string[];
relatedIncidents: string[];
}
export class SecurityKnowledgeBase {
// Methods to store and retrieve past incidents
// Build searchable database of security knowledge
// Track implementation of post-incident action items
// Generate trend reports and analytics
}
9. Pre-Deployed Tools
9.1 Security Toolkit
// packages/client/server/security/toolkit.ts
export const securityToolkit = {
// Network analysis tools
network: {
captureTraffic: async (params) => {/* Implementation */},
analyzeConnections: async (params) => {/* Implementation */},
blockIP: async (ip: string) => {/* Implementation */},
},
// System analysis tools
system: {
checkProcesses: async (params) => {/* Implementation */},
analyzeMemory: async (params) => {/* Implementation */},
captureSnapshot: async (resourceId: string) => {/* Implementation */},
},
// User management tools
users: {
listActiveSessions: async () => {/* Implementation */},
terminateSession: async (sessionId: string) => {/* Implementation */},
revokeAllTokens: async (userId: string) => {/* Implementation */},
resetCredentials: async (userId: string) => {/* Implementation */},
},
// Database tools
database: {
auditCollections: async () => {/* Implementation */},
rollbackChanges: async (params) => {/* Implementation */},
queryAuditLog: async (params) => {/* Implementation */},
},
// File analysis tools
files: {
scanForSensitiveData: async (params) => {/* Implementation */},
compareVersions: async (params) => {/* Implementation */},
secureDelete: async (params) => {/* Implementation */},
}
};
9.2 Security Dashboard
Create a dedicated security dashboard for incident response:
// packages/client/app/components/admin/SecurityDashboard.tsx
import React, { useEffect, useState } from 'react';
import { Box, Card, Container, Grid, Stack, Typography } from '@mui/joy';
import { SecurityIncidentsList } from './SecurityIncidentsList';
import { SecurityMetricsPanel } from './SecurityMetricsPanel';
import { SecurityAlertsFeed } from './SecurityAlertsFeed';
import { LogAnalysisPanel } from './LogAnalysisPanel';
import { ResponseToolsPanel } from './ResponseToolsPanel';
export default function SecurityDashboard() {
// Dashboard implementation with:
// - Real-time security alerts
// - Active incident tracking
// - Quick access to response tools
// - Log analysis capabilities
// - System health monitoring
return (
<Container>
<Typography level="h1">Security Operations</Typography>
<Grid container spacing={2}>
{/* Dashboard components */}
</Grid>
</Container>
);
}
10. Implementation Plan (80/20 Focus)
Day 1: Foundation
- Document incident response team structure and roles
- Create initial incident classification matrix
- Develop first playbook (unauthorized access)
- Document immediate response procedures
Day 2: Capabilities
- Configure enhanced security logging
- Set up secure log storage with immutability
- Create emergency access roles
- Implement key security monitoring tools
Day 3: Training & Testing
- Document game day scenarios
- Create post-incident analysis template
- Schedule first training sessions
- Implement core security dashboard
Conclusion
This security incident response plan provides a comprehensive framework for detecting, responding to, and recovering from security incidents at Bike4Mind. By implementing this plan with the 80/20 focus areas, the organization will establish the critical capabilities needed to effectively respond to security events while continuing to enhance those capabilities over time.
The plan aligns with AWS Well-Architected framework requirements and industry best practices, providing clear roles, responsibilities, and procedures for various incident types. The pre-deployed tools and forensic capabilities ensure the team has the resources needed to investigate and remediate security incidents quickly and thoroughly.
Regular testing through game days and a commitment to continuous improvement through the learning framework will help keep the security posture strong as the threat landscape evolves.