36 KiB
Incident Response Plan (IRP)
This Incident Response Plan (IRP) establishes a structured approach for identifying, managing, and resolving security incidents affecting the API Dash open source project. API Dash is a cross-platform API testing client used by developers worldwide, making security incident response critical to maintaining user trust and protecting the community.
Key objectives are:
- Rapid Detection: Identify security incidents quickly through community reporting and automated monitoring
- Effective Response: Contain and resolve incidents with minimal impact to users
- Transparent Communication: Keep the community informed while protecting sensitive details
- Continuous Improvement: Learn from incidents to strengthen security posture
- Compliance: Adhere to responsible disclosure practices and regulatory requirements
Table of Contents
- Incident Response Timeline
- Purpose and Scope
- Incident Response Team
- Incident Classification and Severity
- Incident Response Lifecycle
- Communication Plan
- Incident Types and Response Procedures
- Post-Incident Activities
- Tools and Resources
- Training and Awareness
- Appendix
1. Incident Response Timeline
- Detection Time: < 6 hour for critical vulnerabilities
- Initial Response: < 24 hours
- Patch Release: Depends on the vulnerability
- Public Disclosure: Within 90 days of fix, coordinated with reporters
- Post-Incident Review: Within 7 days of incident resolution
2. Purpose and Scope
2.1 Purpose
This IRP provides:
- Clear procedures for handling security incidents
- Defined roles and responsibilities
- Communication protocols
- Documentation requirements
- Recovery procedures
2.2 Scope
In Scope:
- Security vulnerabilities in API Dash application code
- Vulnerabilities in API Dash dependencies and packages
- Security issues in build/release infrastructure
- Supply chain attacks affecting distribution
- Data breaches involving user credentials or sensitive information
- Malicious code or backdoors in the codebase
- Security incidents affecting project infrastructure (GitHub, website)
- Social engineering attacks targeting maintainers or users
- Compromised releases or distribution channels
Out of Scope:
- General bugs or functionality issues (use GitHub Issues)
- User configuration errors or misuse
- Security of third-party APIs being tested
- User device security (unless caused by API Dash)
- Individual user support requests
- Feature requests or enhancements
2.3 Applicability
This IRP applies to:
- All API Dash maintainers and contributors
- Security researchers reporting vulnerabilities
- Users affected by security incidents
- Third-party security teams coordinating disclosures
3. Incident Response Team
3.1 Core Team Structure
Primary: Ankit Mahato
Backup: Ashita Prasad
3.1.1 Incident Commander (IC)
Role: Overall incident coordination and decision-making
Responsibilities:
- Activate incident response procedures
- Coordinate team activities
- Make critical decisions
- Approve public communications
- Declare incident closure
3.1.2 Security Lead
Role: Technical security assessment and remediation
Responsibilities:
- Vulnerability analysis and validation
- Risk assessment and severity classification
- Technical remediation guidance
- Security patch development
- Coordinate with security researchers
3.1.3 Communications Lead
Role: Internal and external communications
Responsibilities:
- Draft incident communications
- Manage GitHub Security Advisories
- Coordinate vulnerability disclosure
- Update community on incident status
- Handle media inquiries (if applicable)
3.1.4 Technical Lead
Role: Code fixes and release management
Responsibilities:
- Develop and test security patches
- Emergency release coordination
- Code review of security fixes
- Verify fix effectiveness
- Update dependencies
3.1.5 Documentation Lead
Role: Incident documentation and reporting
Responsibilities:
- Document incident timeline
- Maintain incident logs
- Create post-incident reports
- Update security documentation
- Track action items
3.2 Contact Information
Primary Communication Channel: Private GitHub Security Advisory
Emergency Contact: ankit[at] apidash.dev (or maintainer emails)
4. Incident Classification and Severity
4.1 Severity Levels (Aligned with CVSS 3.1)
CRITICAL (CVSS 9.0-10.0)
Definition: Vulnerabilities with severe impact requiring immediate action
Examples:
- Remote code execution (RCE) vulnerabilities
- Arbitrary code execution in template engine
- Critical data exposure of all users' credentials
- Supply chain compromise (malicious dependency)
- Backdoor or malicious code in releases
HIGH (CVSS 7.0-8.9)
Definition: Significant vulnerabilities that could lead to major impact
Examples:
- Authentication bypass
- Privilege escalation vulnerabilities
- SQL injection or command injection in generated code
- Unencrypted storage of sensitive credentials
- Deserialization vulnerabilities
- XSS or code injection in UI components
MEDIUM (CVSS 4.0-6.9)
Definition: Vulnerabilities with moderate impact
Examples:
- Information disclosure of non-critical data
- CSRF vulnerabilities
- Insecure defaults
- Path traversal with limited impact
- Denial of service (local only)
- Weak cryptography
LOW (CVSS 0.1-3.9)
Definition: Minor vulnerabilities with limited impact
Examples:
- Information leakage with minimal impact
- Security misconfigurations
- Minor input validation issues
- Non-sensitive data exposure
4.2 Incident Categories
| Category | Description | Examples |
|---|---|---|
| Vulnerability | Security flaws in code or dependencies | CVE-reported vulnerabilities |
| Data Breach | Unauthorized access to sensitive data | Credential exposure, data leak |
| Malicious Code | Intentional backdoors or malware | Supply chain attack, compromised dependency |
| Infrastructure | Compromise of project infrastructure | GitHub account takeover, website defacement |
| Social Engineering | Attacks targeting team or users | Phishing, impersonation |
| Availability | DoS or service disruption | Resource exhaustion attacks |
4.3 Impact Assessment Factors
Severity is determined by evaluating:
- Confidentiality Impact: Risk of unauthorized information disclosure
- Integrity Impact: Risk of data or system modification
- Availability Impact: Risk of service disruption
- Scope: Number of users affected (single user vs. all users)
- Exploitability: Ease of exploitation (simple vs. complex)
- User Interaction: Required user interaction (none vs. significant)
- Privileges Required: Attacker privileges needed (none vs. admin)
5. Incident Response Lifecycle
5.1 Phase 1: Preparation
Ongoing Activities
1. Proactive Security Measures
- Enable GitHub Dependabot alerts
- Implement automated security scanning in CI/CD
- Regular dependency updates and security patches
- Security training for maintainers
- Maintain updated contact information
2. Monitoring and Detection
- Monitor GitHub Security Advisories
- Subscribe to security mailing lists for dependencies
- Track Dependabot alerts
- Monitor community reports and discussions
- Review CodeQL scan results
3. Tools and Access
- Maintain incident response toolkit
- Ensure access to critical systems
- Keep security advisory templates ready
- Maintain vulnerability disclosure page
- Prepare patch release procedures
4. Documentation
- Keep IRP updated
- Maintain security runbooks
- Document emergency procedures
- Maintain stakeholder contact lists
5.2 Phase 2: Detection and Analysis
Step 1: Incident Detection
Detection Sources:
- GitHub Security Advisories (private vulnerability reports)
- Dependabot alerts (dependency vulnerabilities)
- Community reports (ankit[at] apidash.dev or GitHub Issues)
- Security researchers (coordinated disclosure)
- Automated scanning (CodeQL, SAST tools)
- Social media (public vulnerability discussions)
- Third-party notification (GitHub Security Lab, etc.)
Initial Actions:
[ ] Acknowledge receipt of report
[ ] Assign incident commander
[ ] Create private security advisory or issue
[ ] Gather initial information
[ ] Avoid public discussion until assessed
Step 2: Initial Triage
Triage Checklist:
[ ] Validate the vulnerability (is it real?)
[ ] Determine affected versions
[ ] Assess exploitability
[ ] Identify attack vectors
[ ] Check if exploit is public or in the wild
[ ] Determine initial severity (preliminary)
[ ] Assign to Security Lead
Triage Decision Matrix:
- Valid Security Issue → Proceed to analysis
- Non-Security Bug → Route to regular issue tracking
- Duplicate/Known → Reference existing advisory/issue
- Invalid/Not Reproducible → Close with explanation
Step 3: Detailed Analysis
Analysis Activities:
-
Reproduce the Vulnerability
- Set up test environment
- Follow reproduction steps
- Document exact conditions
- Capture evidence (screenshots, logs)
-
Impact Assessment
- Determine CVSS score
- Identify affected components
- Assess data at risk
- Estimate user impact (percentage/count)
- Identify downstream effects
-
Root Cause Analysis
- Identify vulnerable code
- Determine when introduced (git blame)
- Check if present in other locations
- Identify similar vulnerabilities
-
Attack Surface Mapping
- Identify all attack vectors
- List prerequisites for exploitation
- Document required privileges
- Assess network exposure
Analysis Output:
- Severity classification (Critical/High/Medium/Low)
- Affected versions and components
- Root cause summary
- Exploitation requirements
- Recommended remediation approach
5.3 Phase 3: Containment
Short-term Containment
Immediate Actions (Critical/High severity):
-
For Critical Vulnerabilities in Released Versions:
[ ] Confirm severity with team consensus [ ] Activate emergency response team [ ] Create GitHub Security Advisory (GHSA) [ ] Begin patch development immediately [ ] Prepare interim workarounds if possible [ ] Consider temporary removal of vulnerable features -
For Infrastructure Compromise:
[ ] Revoke compromised credentials immediately [ ] Enable 2FA on all accounts (if not enabled) [ ] Audit access logs [ ] Change all shared secrets [ ] Lock down affected systems [ ] Preserve forensic evidence -
For Supply Chain Attacks:
[ ] Identify malicious dependency/code [ ] Pin previous known-good versions [ ] Alert users immediately (critical advisory) [ ] Remove malicious packages from distribution [ ] Contact platform providers (npm, pub.dev) -
For Data Breach:
[ ] Identify scope of data exposure [ ] Contain data leak source [ ] Preserve evidence [ ] Prepare user notification [ ] Assess regulatory obligations
Long-term Containment
Sustained Response Actions:
- Implement temporary security controls
- Monitor for exploitation attempts
- Prepare comprehensive fix
- Coordinate with security researcher
- Plan disclosure timeline
5.4 Phase 4: Eradication
Root Cause Elimination
1. Develop Security Fix:
[ ] Design secure solution
[ ] Implement fix in development branch
[ ] Add regression tests
[ ] Perform security code review
[ ] Test fix thoroughly
[ ] Verify no new vulnerabilities introduced
[ ] Document changes
2. Code Review Requirements:
- Minimum 2 security-aware reviewers
- Focus on security implications
- Check for similar issues elsewhere
- Validate input handling
- Review error handling
- Verify no information leakage
3. Testing Validation:
- Unit tests for security fix
- Integration tests
- Regression testing
- Security testing (fuzzing, penetration testing)
- Performance impact assessment
- Cross-platform validation
4. Dependency Updates:
[ ] Identify updated secure versions
[ ] Test compatibility
[ ] Update pubspec.yaml
[ ] Verify no breaking changes
[ ] Update lockfiles
[ ] Test on all supported platforms
5.5 Phase 5: Recovery
Release and Deployment
1. Emergency Patch Release Process:
# Emergency Release Checklist
[ ] Create release branch from main
[ ] Apply security fix
[ ] Update version number (patch bump)
[ ] Update CHANGELOG.md with security notice
[ ] Run full test suite
[ ] Build release artifacts for all platforms
[ ] Sign releases (if applicable)
[ ] Create GitHub release
[ ] Publish to distribution channels
[ ] Update documentation
[ ] Verify release availability
2. Release Announcement Template:
# Security Release: API Dash v{VERSION}
## Overview
This is a security release addressing [severity] vulnerability in API Dash.
## Affected Versions
- {version range}
## Fixed Vulnerabilities
- **{CVE-ID}** (Severity: {CRITICAL/HIGH/MEDIUM/LOW})
- {Brief description}
- CVSS Score: {score}
## Recommended Action
All users should upgrade immediately to version {VERSION}.
## Upgrade Instructions
{Platform-specific upgrade steps}
## Workarounds (if applicable)
{Temporary workarounds for users who cannot upgrade immediately}
## Credits
We would like to thank {researcher name} for responsibly disclosing this vulnerability.
## References
- GitHub Security Advisory: {GHSA link}
- CVE: {CVE link}
- Detailed Security Advisory: {link}
3. Distribution Channels:
- GitHub Releases (primary)
- App Store (iOS/iPad)
- Platform-specific package managers (apt, rpm, etc.)
- Website download links
- Documentation updates
5. User Notification:
- GitHub Security Advisory (automatic notification to watchers)
- Release notes
- Social media (LinkedIn, X, Discord)
- In-app notification (for future versions)
Verification
Post-Release Validation:
[ ] Verify fix effectiveness
[ ] Confirm vulnerability no longer exploitable
[ ] Check all platforms updated
[ ] Monitor for issues with patch
[ ] Verify no regression introduced
[ ] Scan updated version with security tools
5.6 Phase 6: Post-Incident Activities
See Section 8: Post-Incident Activities for detailed procedures.
6. Communication Plan
6.1 Communication Principles
- Transparency: Be open about incidents while protecting sensitive details
- Timeliness: Communicate promptly at each phase
- Accuracy: Provide verified information only
- Clarity: Use clear, non-technical language for user communications
- Coordination: Align with security researchers and stakeholders
- Responsibility: Take ownership and accountability
6.2 Internal Communication
During Active Incident
Communication Channels:
- Primary: Private GitHub Security Advisory discussion
- Real-time: Dedicated Discord channel (private)
- Documentation: Shared incident log (Google Docs or equivalent)
- Escalation: Direct email to incident commander
Status Update Template:
## Incident Status Update - {Date/Time}
**Incident ID**: {IR-YYYY-MM-DD-###}
**Severity**: {Level}
**Phase**: {Detection/Analysis/Containment/Eradication/Recovery}
### Current Status
{Brief status description}
### Activities Completed
- {Item 1}
- {Item 2}
### In Progress
- {Item 1}
- {Item 2}
### Next Steps
- {Item 1}
- {Item 2}
### Blockers/Issues
- {Any blockers}
### Expected Next Update
{Time}
6.3 External Communication
Communication to Security Researchers
Dear {Researcher Name},
Thank you for reporting this security issue to the API Dash project.
We have received your report and assigned it ID {IR-YYYY-MM-DD-###}.
Our security team is currently analyzing the issue and will provide
an initial assessment within {timeframe} hours.
We appreciate your responsible disclosure and will keep you updated
on our progress.
Best regards,
API Dash Team
Communication to Users
Social Media/Community Update:
🔒 Security Update: API Dash v{VERSION} released
Fixed {CRITICAL/HIGH/MEDIUM/LOW} severity vulnerability {CVE-ID}.
All users should update immediately.
Details: {link to GHSA}
Download: {link to release}
Thank you to @{researcher} for responsible disclosure.
7. Incident Types and Response Procedures
7.1 Code Vulnerability
Scenario: Security flaw discovered in application code
Detection: Security researcher report, automated scan, or code review
Response Procedure:
-
Receive and Validate
- Acknowledge report
- Validate vulnerability
- Create private GHSA
- Assign severity
-
Analyze
- Reproduce issue
- Determine affected versions
- Assess impact
- Identify root cause
-
Develop Fix
- Implement secure solution
- Add security tests
- Code review
- Test thoroughly
-
Release Patch
- Create patch release
- Update documentation
- Publish GHSA
- Notify users
-
Monitor
- Track adoption
- Monitor for exploitation
- Address user questions
Example Decision Tree:
Vulnerability Report
│
├─ Valid & Security-related?
│ ├─ Yes → Assess Severity
│ │ ├─ Critical → Emergency Response
│ │ ├─ High → Priority Response
│ │ └─ Med/Low → Standard Response
│ └─ No → Route to standard bug tracking
│
└─ Continue with standard process
7.2 Dependency Vulnerability
Scenario: Vulnerability discovered in third-party dependency
Detection: Dependabot alert, security advisory, or manual audit
Response Procedure:
-
Assess Impact
[ ] Identify vulnerable dependency [ ] Check if vulnerability affects API Dash usage [ ] Determine exploitability in context [ ] Check if transitive or direct dependency [ ] Review available patches -
Evaluate Remediation Options:
- Option A: Update to patched version
- Test compatibility
- Update pubspec.yaml
- Verify fix
- Option B: Replace with alternative library
- Research alternatives
- Plan migration
- Implement replacement
- Option C: Apply workaround
- Disable vulnerable feature
- Implement compensating controls
- Document limitation
- Option A: Update to patched version
7.3 Supply Chain Attack
Scenario: Malicious code injected through compromised dependency or build pipeline
Detection:
- Unexpected package behavior
- Community reports of malicious activity
- Checksum mismatches
- Security tool alerts
Response Procedure (CRITICAL - IMMEDIATE ACTION):
Phase 1: Emergency Response
[ ] STOP all builds and releases immediately
[ ] Revoke access to compromised accounts/systems
[ ] Alert all maintainers via emergency channel
[ ] Preserve forensic evidence
[ ] Identify affected versions
Phase 2: Containment
[ ] Remove malicious packages from distribution
[ ] Contact platform providers (GitHub, App Stores)
[ ] Request takedown of compromised releases
[ ] Post emergency security advisory
[ ] Alert users through all channels
[ ] Identify attack vector
Phase 3: Analysis
[ ] Forensic analysis of compromise
[ ] Identify malicious code
[ ] Determine scope of impact
[ ] Assess data at risk
[ ] Check if source code compromised
[ ] Review commit history for malicious changes
[ ] Analyze access logs
Phase 4: Eradication
[ ] Remove all malicious code
[ ] Verify source code integrity
[ ] Rebuild from known-good source
[ ] Update all credentials and secrets
[ ] Implement additional security controls
[ ] Audit all dependencies
Phase 5: Recovery
[ ] Release clean version with new version number
[ ] Sign releases with new keys (if keys compromised)
[ ] Publish detailed incident report
[ ] Provide user guidance
[ ] Monitor for continued threats
User Communication (LinkedIn or public channels):
🚨 CRITICAL SECURITY ALERT 🚨
Versions {versions} of API Dash have been compromised with malicious code.
IMMEDIATE ACTION REQUIRED:
1. UNINSTALL affected versions immediately
2. DO NOT use until further notice
3. Change any credentials entered in these versions
4. Monitor for suspicious activity
We are working to release a clean version and will update within {timeframe}.
More details: {link to emergency advisory}
7.4 Data Breach
Scenario: Unauthorized access to user data (credentials, API responses, etc.)
Response Procedure:
Phase 1: Initial Response
[ ] Confirm breach occurred
[ ] Identify data accessed/exfiltrated
[ ] Determine breach source
[ ] Contain the breach
[ ] Preserve evidence
[ ] Assess legal obligations (GDPR, CCPA, etc.)
Phase 2: Assessment
[ ] Identify affected users
[ ] Determine data sensitivity
[ ] Assess regulatory requirements
[ ] Estimate number of records affected
[ ] Document timeline of breach
[ ] Identify attack method
Phase 3: User Notification
[ ] Prepare notification message
[ ] Identify notification method
[ ] Comply with regulatory timelines (GDPR: 72 hours)
[ ] Provide user guidance
[ ] Set up support channel
Breach Notification Template:
# Data Breach Notification
**Date of Breach**: {date}
**Date of Discovery**: {date}
**Notification Date**: {date}
## What Happened
{Clear description of the breach}
## What Information Was Involved
{List of data types: credentials, API keys, response data, etc.}
## What We're Doing
{Steps taken to contain and investigate}
## What You Should Do
1. {Action item 1}
2. {Action item 2}
3. {Action item 3}
## Additional Information
{Resources, support contact, FAQ}
## Contact Us
{Contact information for questions}
Regulatory Compliance:
- GDPR: Notify supervisory authority within 72 hours if EU data affected
- CCPA: Notify affected California residents without unreasonable delay
- Other jurisdictions: Follow applicable data breach notification laws
7.5 Infrastructure Compromise
Scenario: Unauthorized access to project infrastructure (GitHub, domains, etc.)
Response Procedure:
Phase 1: Immediate Lockdown
[ ] Revoke compromised credentials
[ ] Enable/verify 2FA on all accounts
[ ] Change all passwords
[ ] Revoke API tokens and SSH keys
[ ] Lock affected repositories/systems
[ ] Contact platform support
Phase 2: Investigation
[ ] Review access logs
[ ] Identify unauthorized actions
[ ] Determine entry point
[ ] Assess damage
[ ] Check for backdoors
[ ] Review recent commits/changes
Phase 3: Remediation
[ ] Revert unauthorized changes
[ ] Strengthen access controls
[ ] Audit all accounts and permissions
[ ] Review and update security policies
[ ] Implement additional monitoring
[ ] Consider new authentication methods (hardware keys)
Phase 4: Recovery
[ ] Restore systems to secure state
[ ] Verify integrity of code and releases
[ ] Re-establish trust in infrastructure
[ ] Communicate status to community
[ ] Document lessons learned
GitHub Specific Actions:
[ ] Review "Settings > Audit log"
[ ] Check "Security > Deploy keys"
[ ] Review "Settings > Collaborators"
[ ] Verify branch protection rules
[ ] Check webhook configurations
[ ] Review GitHub Actions workflows
[ ] Verify code signing keys
7.6 Malicious Code Contribution
Scenario: Intentional backdoor or malicious code in pull request or commit
Response Procedure:
Phase 1: Detection
[ ] Identify suspicious code
[ ] Determine if merged to main branch
[ ] Check if released to users
[ ] Identify contributor
[ ] Preserve evidence
Phase 2: Containment
[ ] Revert malicious commits immediately
[ ] Block contributor if intentional
[ ] Check for other malicious contributions
[ ] Audit recent code changes
[ ] Determine if emergency release needed
Phase 3: Analysis
[ ] Analyze malicious code intent
[ ] Determine what it could do
[ ] Check if exploited
[ ] Review contributor history
[ ] Assess trust in other contributions
Phase 4: Communication
[ ] If released: Issue security advisory
[ ] Report to GitHub abuse team
[ ] Alert community if severe
[ ] Update contribution guidelines
[ ] Strengthen code review process
Prevention Measures:
- Require code review from trusted maintainers
- Use automated security scanning on PRs
- Implement CODEOWNERS file
- Suspicious code review checklist
- Contributor verification for sensitive changes
8. Post-Incident Activities
8.1 Post-Incident Review (PIR)
Timing: Within 7 days of incident resolution
Attendees:
- Incident Commander
- All IR team members involved
- Relevant stakeholders
Agenda:
- Incident timeline review
- What went well
- What could be improved
- Action items
PIR Template:
# Post-Incident Review: {Incident ID}
**Date**: {date}
**Facilitator**: {name}
**Attendees**: {list}
## Incident Summary
- **ID**: {IR-YYYY-MM-DD-###}
- **Type**: {vulnerability/breach/infrastructure/etc.}
- **Severity**: {level}
- **Duration**: {detection to resolution}
- **Impact**: {users affected, scope}
## Timeline
| Time | Event | Owner |
| ----------- | ------------------- | -------- |
| {timestamp} | {event description} | {person} |
| ... | ... | ... |
## Metrics
- Time to detect: {duration}
- Time to respond: {duration}
- Time to patch: {duration}
- Time to resolve: {duration}
- Users affected: {number/percentage}
## What Went Well
1. {Item 1}
2. {Item 2}
3. {Item 3}
## What Could Be Improved
1. {Item 1}
- Root cause: {why}
- Impact: {what was the effect}
- Recommendation: {how to fix}
2. {Item 2}
- Root cause: {why}
- Impact: {what was the effect}
- Recommendation: {how to fix}
## Action Items
| Action | Owner | Priority | Due Date | Status |
| ---------- | ------ | ---------- | -------- | ----------------------- |
| {Action 1} | {name} | {P0/P1/P2} | {date} | {Open/In Progress/Done} |
| ... | ... | ... | ... | ... |
## Lessons Learned
1. {Lesson 1}
2. {Lesson 2}
3. {Lesson 3}
## Documentation Updates Needed
- [ ] Update IRP
- [ ] Update threat model
- [ ] Update security documentation
- [ ] Update developer guidelines
- [ ] Update monitoring/detection
## Follow-up Meeting
Scheduled for: {date} to review action item progress
8.2 Documentation
Incident Log: Maintain a comprehensive log of all security incidents:
# Security Incident Log
| ID | Date | Type | Severity | Status | Resolution |
| -------------- | ---------- | ------------- | -------- | -------- | ----------------- |
| IR-2025-12-001 | 2025-12-01 | Vulnerability | HIGH | Resolved | Patched in v1.2.3 |
| IR-2025-11-045 | 2025-11-15 | Dependency | MEDIUM | Resolved | Updated dep |
| ... | ... | ... | ... | ... | ... |
Knowledge Base: Create runbooks for common scenarios:
- Dependency update procedure
- Emergency release process
- Infrastructure compromise response
- Data breach notification process
8.3 Improvement Actions
Security Enhancements: Based on incident learnings:
- Implement additional security controls
- Update threat model
- Enhance monitoring/detection
- Improve tooling
- Add security tests
- Update documentation
Process Improvements:
- Refine IRP procedures
- Update response checklists
- Improve communication templates
- Enhance training materials
- Streamline escalation paths
Training:
- Conduct incident retrospective training
- Share lessons learned with team
- Update security awareness materials
- Practice improved procedures
8.4 Continuous Monitoring
Post-Incident Monitoring:
- Monitor for reoccurrence
- Track patch adoption rates
- Watch for exploitation attempts
- Monitor security researchers' follow-ups
- Check for similar vulnerabilities
Metrics Tracking:
Key Performance Indicators (KPIs):
- Mean Time to Detect (MTTD)
- Mean Time to Respond (MTTR)
- Mean Time to Resolve (MTTR)
- Patch adoption rate
- Number of incidents by severity
- Number of incidents by type
- Effectiveness of mitigations
9. Tools and Resources
9.1 Security Tools
Detection and Monitoring
- GitHub Dependabot: Automated dependency vulnerability scanning
- CodeQL: Static application security testing (SAST)
- Dart/Flutter Security Linters: Code quality and security checks
- Snyk: Open source vulnerability scanner (optional)
- OWASP Dependency-Check: Dependency vulnerability analysis
Analysis Tools
- GitHub Security Advisories: Vulnerability database and disclosure platform
- CVE/NVD: Common Vulnerabilities and Exposures database
- CVSS Calculator: Severity scoring tool
- Git History Tools: For forensic analysis (git log, git blame)
Communication
- GitHub Security Advisories: Primary disclosure platform
- GitHub Discussions: Community communication
- Discord/Slack: Real-time team communication
- Email: Direct communication with researchers
Incident Management
- GitHub Issues: Private security issues
- GitHub Projects: Incident tracking board
- Shared Documents: Incident logs (Google Docs/Notion)
- Password Manager: Secure credential storage for team
9.2 Reference Materials
Vulnerability Databases
- GitHub Advisory Database: https://github.com/advisories
- National Vulnerability Database: https://nvd.nist.gov/
- CVE: https://www.cve.org
Security Frameworks
- NIST Cybersecurity Framework: https://www.nist.gov/cyberframework
- OWASP Top 10: https://owasp.org/www-project-top-ten/
- OWASP Mobile Top 10: https://owasp.org/www-project-mobile-top-10/
Disclosure Guidelines
- ISO/IEC 29147: Vulnerability disclosure
- CERT Guide to Coordinated Vulnerability Disclosure: https://certcc.github.io/CERT-Guide-to-CVD/
- Google Project Zero Policy: 90-day disclosure deadline
Legal Resources
- GDPR: https://gdpr-info.eu/
- CCPA: https://oag.ca.gov/privacy/ccpa
- Data Breach Notification Laws: State-by-state requirements
10. Training and Awareness
10.1 Tabletop Exercise Scenarios
Scenario 1: Critical RCE Vulnerability
SCENARIO: Security researcher reports remote code execution vulnerability
in template engine. Exploit code is public.
EXERCISE:
- How do we verify the vulnerability?
- What's the appropriate severity?
- What's our patch timeline?
- How do we communicate to users?
- What's our disclosure timeline?
Scenario 2: Compromised Dependency
SCENARIO: A popular dependency has been compromised with malicious code.
API Dash uses this dependency.
EXERCISE:
- How do we detect this?
- Is API Dash affected?
- What do we tell users?
- How do we remove the dependency?
- Do we need an emergency release?
Scenario 3: Data Breach
SCENARIO: User reports their API credentials were leaked after using API Dash.
Potentially multiple users affected.
EXERCISE:
- How do we investigate?
- What data might be exposed?
- What are our legal obligations?
- How do we notify affected users?
- What should users do?
Scenario 4: GitHub Account Compromise
SCENARIO: A maintainer's GitHub account is compromised.
Unauthorized commits are pushed to main branch.
EXERCISE:
- What are immediate actions?
- How do we revoke access?
- What do we audit?
- Do we need to revert commits?
- How do we verify code integrity?
10.2 User Education
Security Best Practices Guide (for users):
# API Dash Security Best Practices
## Protecting Your Credentials
- Use environment variables for sensitive values
- Don't commit credentials to version control
- Regularly rotate API keys and tokens
- Use read-only tokens when possible
## Safe Collection Sharing
- Redact credentials before exporting
- Use encrypted exports for sensitive data
- Review collections before importing
- Trust collection sources
## Keeping Secure
- Always use latest version
- Enable automatic updates
- Watch for security advisories
- Report security issues responsibly
## Local Data Security
- Use full-disk encryption
- Secure your workspace folder
- Clear history containing sensitive data
- Use strong device passwords
Responsible Disclosure Guide (for researchers):
# Reporting Security Vulnerabilities
Thank you for helping keep API Dash secure!
## How to Report
1. **Do NOT** create public GitHub issues
2. Use GitHub Security Advisories (preferred)
3. Or email: ankit[at] apidash.dev
## What to Include
- Description of vulnerability
- Steps to reproduce
- Affected versions
- Potential impact
- Suggested fix (optional)
## What to Expect
- Acknowledgment
- Initial assessment
- Regular updates on progress
- Coordinated disclosure timeline
- Credit in advisory (if desired)
## Disclosure Policy
- We follow 90-day disclosure deadline
- Earlier disclosure if fix is ready
- We'll coordinate with you
## Safe Harbor
We will not pursue legal action against researchers who:
- Act in good faith
- Don't access user data
- Don't disrupt service
- Report responsibly
11. Appendix
Incident Response Checklist
Phase 1: Detection
[ ] Incident detected/reported
[ ] Initial assessment completed
[ ] Incident Commander notified
[ ] Preliminary severity assigned
[ ] Private GHSA created (if needed)
[ ] Team activated
Phase 2: Analysis
[ ] Vulnerability validated
[ ] Affected versions identified
[ ] Attack vectors documented
[ ] Impact assessed
[ ] Root cause determined
[ ] Final severity assigned
[ ] CVSS score calculated
Phase 3: Containment
[ ] Immediate threats neutralized
[ ] Access revoked (if compromise)
[ ] Temporary workarounds identified
[ ] Users warned (if critical)
[ ] Evidence preserved
[ ] Monitoring enhanced
Phase 4: Eradication
[ ] Security fix developed
[ ] Fix tested thoroughly
[ ] Code reviewed
[ ] Regression tests added
[ ] Documentation updated
[ ] Similar issues checked
Phase 5: Recovery
[ ] Patch released
[ ] Security advisory published
[ ] Users notified
[ ] Distribution channels updated
[ ] Fix verified effective
[ ] Monitoring continued
Phase 6: Post-Incident
[ ] PIR scheduled
[ ] Incident documented
[ ] Lessons learned captured
[ ] Action items assigned
[ ] Plan updated
[ ] Training updated
[ ] Metrics recorded
CVSS Scoring Guide
CVSS v3.1 Quick Reference:
Base Metrics:
- Attack Vector (AV): Network/Adjacent/Local/Physical
- Attack Complexity (AC): Low/High
- Privileges Required (PR): None/Low/High
- User Interaction (UI): None/Required
- Scope (S): Unchanged/Changed
- Confidentiality Impact (C): None/Low/High
- Integrity Impact (I): None/Low/High
- Availability Impact (A): None/Low/High
Calculator: https://www.first.org/cvss/calculator/3.1
Example Scoring:
Remote Code Execution:
AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
Score: 10.0 (CRITICAL)
Stored XSS:
AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N
Score: 5.4 (MEDIUM)