Security Incident Response Plan
Executive Summary
This document establishes the Security Incident Response Plan for the Review Bot Automator project. It provides procedures for detecting, responding to, and recovering from security incidents, ensuring consistent and effective handling of security events.
Purpose: Define processes, roles, and procedures for managing security incidents from detection through resolution and lessons learned.
Scope: Covers all security incidents affecting the Review Bot Automator project, including:
Code vulnerabilities and exploits
Dependency compromises
Data breaches and leaks
System compromises
Supply chain attacks
Last Updated: 2025-11-03 Next Review: Semi-annually or after major incidents
Incident Classification
Severity Levels
CRITICAL (P0)
Response Time: Immediate (< 1 hour) Resolution Time: 24-72 hours
Examples
Remote code execution vulnerability actively exploited
Complete system compromise
Mass data breach
Supply chain attack affecting production users
Credential theft with evidence of unauthorized access
Escalation: Immediate notification to security team, maintainers, and stakeholders
HIGH (P1)
Response Time: < 4 hours Resolution Time: 1 week
Examples: (Critical Severity)
Path traversal vulnerability discovered
Secrets leaked in public repository
Dependency with critical CVE
Unauthorized access to CI/CD pipeline
Code injection vulnerability
Escalation: Notify security team and maintainers within 1 hour
MEDIUM (P2)
Response Time: < 1 business day Resolution Time: 2 weeks
Examples: (High Severity)
Information disclosure vulnerabilities
Dependency with high-severity CVE
Security misconfiguration
Denial of service vulnerability
Authentication bypass
Escalation: Notify security team and schedule fix
LOW (P3)
Response Time: < 1 week Resolution Time: 1 month
Examples: (Medium Severity)
Minor information disclosure
Low-severity CVEs
Security best practice violations
Non-critical misconfigurations
Escalation: Track in issue tracker, schedule for next release
Incident Response Phases
Phase 1: Detection and Reporting
Detection Methods
Automated Detection
CodeQL Analysis: Scans for security vulnerabilities in code (
.github/workflows/security.yml)Trivy SBOM Scanning: Detects vulnerabilities in dependencies
TruffleHog: Scans for accidentally committed secrets
Scorecard: Evaluates security best practices
ClusterFuzzLite: Detects crashes, memory issues, and edge cases
pip-audit: Identifies known vulnerabilities in Python dependencies
Bandit: Static analysis for Python security issues
Manual Detection
Code review findings
Security researcher reports
User reports via GitHub issues
Internal security audits
External Notifications
GitHub Security Advisories
CVE alerts from dependencies
Security mailing lists
Disclosure from security researchers
Reporting Channels
Private Disclosure (Preferred)
GitHub Security tab → “Report a vulnerability”
Creates private security advisory
Allows for coordinated disclosure
Email: bdc@virtualagentics.ai
Use for sensitive disclosures
Include detailed reproduction steps
Expect acknowledgment within 48 hours
GitHub Issues: For non-critical issues
Use “security” label
Do NOT include sensitive details
Public visibility
Contacts
Security Team: bdc@virtualagentics.ai
Project Maintainers: Listed in CODEOWNERS file
Emergency: bdc@virtualagentics.ai (24/7 monitoring)
Phase 2: Triage and Assessment
Initial Assessment (< 1 hour for CRITICAL)
Step 1: Acknowledge Receipt
Confirm receipt to reporter within documented SLA
Assign incident ID (format:
SEC-YYYY-NNNN)Create private tracking issue (GitHub Security Advisory)
Step 2: Validate Vulnerability
Attempt to reproduce the issue
Verify exploitability
Assess actual vs theoretical impact
Document reproduction steps
Step 3: Assign Severity
Use CVSS v3.1 scoring (https://www.first.org/cvss/calculator/3.1):
CRITICAL: CVSS 9.0-10.0
HIGH: CVSS 7.0-8.9
MEDIUM: CVSS 4.0-6.9
LOW: CVSS 0.1-3.9
Step 4: Determine Impact Scope
Affected versions
Number of users potentially impacted
Data at risk
Attack complexity
Prerequisites for exploitation
Assessment Template
## Incident: SEC-2025-NNNN
**Severity**: [CRITICAL/HIGH/MEDIUM/LOW]
**CVSS Score**: [0.0-10.0]
**Reported By**: [Name/Anonymous]
**Reported Date**: YYYY-MM-DD HH:MM UTC
**Acknowledged**: YYYY-MM-DD HH:MM UTC
### Description
[Brief description]
### Affected Components
* Component: [name]
* Versions: [x.y.z - a.b.c]
* File(s): [file paths]
### Impact
* Confidentiality: [NONE/LOW/HIGH]
* Integrity: [NONE/LOW/HIGH]
* Availability: [NONE/LOW/HIGH]
### Exploit Complexity
* Prerequisites: [list]
* Attack Vector: [NETWORK/ADJACENT/LOCAL]
* User Interaction: [NONE/REQUIRED]
### Reproduction Steps
1. [Step 1]
2. [Step 2]
...
### Evidence
[Screenshots, logs, PoC code]
Phase 3: Containment
Immediate Actions (CRITICAL/HIGH)
Step 1: Stop the Bleeding
If exploit is active, consider emergency actions:
Disable affected features via configuration
Roll back to safe version
Block malicious traffic (if applicable)
Revoke compromised credentials
Step 2: Prevent Spread
Identify all affected systems
Isolate compromised components
Prevent further exploitation
Monitor for additional indicators of compromise
Step 3: Preserve Evidence
Capture system state
Save logs and artifacts
Document timeline
DO NOT destroy evidence during containment
Containment Strategies by Threat Type
Code Vulnerability
Create hotfix branch
Develop and test fix
Prepare advisory and patch
Coordinate disclosure timeline
Dependency Compromise
Pin to last known-good version
Assess impact of vulnerable component
Search for alternative dependencies
Test with pinned version
Secret Leakage
IMMEDIATELY revoke exposed credentials
Rotate all potentially affected secrets
Audit access logs for unauthorized use
Remove secrets from git history (
git filter-branch)Force push cleaned history (coordination required)
CI/CD Compromise
Disable affected workflows
Review recent workflow runs
Audit workflow permissions
Rotate all GitHub Actions secrets
Review recent commits for malicious changes
Phase 4: Eradication
Root Cause Analysis
Questions to Answer
What was the vulnerability?
How long has it existed?
What allowed it to exist?
Were there any previous indicators?
Could it have been prevented?
Analysis Methods
Code review of vulnerable component
Git history analysis (
git log --all -- <file>)Dependency tree analysis
Timeline reconstruction
Impact assessment
Fix Development
Development Process
Create hotfix branch from affected version
Develop minimal fix (avoid scope creep)
Add regression tests
Add security test cases
Test fix thoroughly
Code review by at least 2 maintainers
Security team approval
Fix Validation
Vulnerability no longer exploitable
No new regressions introduced
Tests pass (unit, integration, security)
Fuzzing passes (if applicable)
Code review approved
Security team approval
Patch Strategy
Backport to all supported versions (currently 0.1.x)
Create separate fix branches per major version
Test each backport independently
Prepare release notes (without sensitive details)
Phase 5: Recovery
Deployment
CRITICAL/HIGH Severity
Prepare emergency release
Notify users via:
GitHub Security Advisory
Release notes
Email to known users (if applicable)
Security mailing lists
Publish patched versions to PyPI
Update documentation
Monitor for issues post-deployment
MEDIUM/LOW Severity
Include fix in next regular release
Document in changelog
Mention in release notes
No emergency notification required
Post-Deployment Monitoring
Monitoring Period: 7 days for CRITICAL, 3 days for HIGH
What to Monitor
Error rates
Unexpected behavior reports
Performance metrics
Security scan results
User feedback
Success Criteria
No new exploitation attempts detected
No regression issues reported
Security scans clear
User adoption of patched version increasing
Phase 6: Post-Incident Review
Lessons Learned Meeting
Timing: Within 7 days of incident resolution
Participants
Security team
Incident responders
Relevant maintainers
(Optional) Security researcher who reported
Agenda
Incident timeline review
What went well?
What could be improved?
Root cause analysis
Preventive measures
Action items
Post-Incident Report Template
## Post-Incident Report: SEC-2025-NNNN
**Incident Summary**: [Brief description]
**Severity**: [CRITICAL/HIGH/MEDIUM/LOW]
**Duration**: Detection to Resolution (X days)
### Timeline
* **Detection**: YYYY-MM-DD HH:MM UTC
* **Triage**: YYYY-MM-DD HH:MM UTC
* **Containment**: YYYY-MM-DD HH:MM UTC
* **Fix Deployed**: YYYY-MM-DD HH:MM UTC
* **Incident Closed**: YYYY-MM-DD HH:MM UTC
### Root Cause
[Detailed explanation]
### Impact
* **Users Affected**: [number/percentage]
* **Data Compromised**: [YES/NO - details]
* **System Compromise**: [YES/NO - details]
### Response Effectiveness
#### What Went Well
* [Point 1]
* [Point 2]
#### What Could Be Improved
* [Point 1]
* [Point 2]
### Preventive Measures
1. [Action item 1] - Assigned to: [name] - Due: [date]
2. [Action item 2] - Assigned to: [name] - Due: [date]
### Recommendations
* [Long-term improvement 1]
* [Long-term improvement 2]
Knowledge Base Update
Documentation to Update
Security architecture (if applicable)
Threat model (add new threat if discovered)
Security testing guide (add regression test)
SECURITY.md (if process improvements identified)
Code comments (document security-critical sections)
Communication Plan
Internal Communication
Security Team
Slack: #security-incidents (if available)
Email: bdc@virtualagentics.ai
GitHub: Private security advisory
Maintainers
GitHub mentions in security advisory
Email for CRITICAL/HIGH incidents
Stakeholders
Email summary for CRITICAL incidents
Monthly security reports for all others
External Communication
Security Researcher
Acknowledgment (Within 48 hours):
Subject: [SEC-2025-NNNN] Acknowledgment of Security Report
Dear [Researcher Name],
Thank you for your security report regarding [brief description].
We have assigned incident ID SEC-2025-NNNN to track this issue.
Our security team is investigating and will provide an initial
assessment within [timeline based on severity].
We will keep you informed of our progress and coordinate with you
on public disclosure timing.
Best regards,
Review Bot Automator Security Team
Status Update (Weekly for active investigations):
Subject: [SEC-2025-NNNN] Investigation Update
Dear [Researcher Name],
Update on SEC-2025-NNNN:
* Current Status: [Investigating/Fixing/Testing/Deploying]
* Progress: [brief summary]
* Next Steps: [what's next]
* Estimated Timeline: [date]
Thank you for your patience.
Best regards,
Security Team
Resolution Notice
Subject: [SEC-2025-NNNN] Resolution and Disclosure
Dear [Researcher Name],
We have resolved SEC-2025-NNNN and released patched versions:
* Version [x.y.z] addresses the vulnerability
* Advisory published: [URL]
* CVE assigned: CVE-YYYY-NNNNN (if applicable)
We would like to credit you in our advisory. Would you like to be:
* Credited by name: [Your Name]
* Credited anonymously
* Not credited
Public disclosure date: [YYYY-MM-DD] (90 days from report)
Thank you for your responsible disclosure.
Best regards,
Security Team
Public Disclosure
GitHub Security Advisory
Published when patch is available
Includes affected versions
Includes fixed versions
Credit to researcher (if permitted)
CVSS score and impact description
Mitigation steps
PyPI Release Notes
## Version X.Y.Z - Security Release
### Security Fixes
* **[SEC-2025-NNNN]**: Fixed [brief description] (Severity: [LEVEL])
* Affects versions: [x.y.z - a.b.c]
* Fixed in: [x.y.z]
* Credit: [Researcher Name / Anonymous]
* Advisory: [URL to GitHub Security Advisory]
All users are encouraged to upgrade immediately.
Notification Timing
CRITICAL: Immediate public disclosure after patch available
HIGH: 7 days after patch available (grace period for upgrade)
MEDIUM/LOW: Include in regular release notes
Roles and Responsibilities
Security Team Lead
Responsibilities:
Oversee incident response process
Assign incident severity
Coordinate with maintainers
Approve public disclosures
Conduct post-incident reviews
Incident Responder
Responsibilities:
Triage reported vulnerabilities
Validate and reproduce issues
Develop and test fixes
Document incident timeline
Communicate with reporters
Maintainers
Responsibilities:
Code review security fixes
Assist with testing
Deploy patches
Update documentation
Communications Lead
Responsibilities:
Draft public advisories
Coordinate disclosure timing
Notify affected users
Manage external communications
Tools and Resources
Incident Tracking
GitHub Security Advisories: Primary tracking system
Issue Tracker: For public, non-sensitive issues
Email: bdc@virtualagentics.ai
Analysis Tools
CodeQL: Variant analysis for similar vulnerabilities
ClusterFuzzLite: Reproduce crashes and memory issues
Bandit: Scan for Python security issues
pip-audit: Check for vulnerable dependencies
Trivy: SBOM and vulnerability scanning
Communication Templates
Located in:
docs/security/templates/(future)Acknowledgment email
Status update email
Resolution notice
Public advisory template
Escalation Procedures
When to Escalate
To Security Team Lead
CRITICAL or HIGH severity incidents
Uncertainty about severity classification
Conflicts in response approach
Media inquiries or public attention
To External Resources
Need for forensic analysis
Legal implications
Regulatory reporting requirements
Third-party component involvement
Escalation Contacts
Internal
Security Team Lead: bdc@virtualagentics.ai
Project Maintainers: Listed in CODEOWNERS
Emergency Contact: bdc@virtualagentics.ai (24/7)
External
GitHub Security: security@github.com
CERT/CC: cert@cert.org
Legal Counsel: (If established)
Appendices
Appendix A: Incident Checklist
Detection Phase
Incident reported via appropriate channel
Incident ID assigned (SEC-YYYY-NNNN)
Reporter acknowledged within SLA
Private tracking issue created
Triage Phase
Vulnerability validated and reproduced
Severity assigned using CVSS
Impact scope determined
Affected versions identified
Containment Phase
Immediate containment actions taken
Evidence preserved
Further exploitation prevented
Affected systems isolated
Eradication Phase
Root cause identified
Fix developed and tested
Security team approval obtained
Regression tests added
Recovery Phase
Patched versions deployed
Users notified appropriately
Documentation updated
Post-deployment monitoring active
Post-Incident Phase
Lessons learned meeting conducted
Post-incident report published
Knowledge base updated
Preventive action items assigned
Appendix B: CVE Request Process
When to Request CVE
PUBLIC vulnerability affecting multiple users
Severity HIGH or CRITICAL
Fixed in released version
Process
Request CVE via GitHub Security Advisory
Fill out CVE form with:
Affected versions
Fixed versions
CVSS score
Brief description
GitHub auto-assigns CVE ID
Reference CVE in advisory and release notes
Do NOT request CVE for
Internal-only issues
Issues caught before release
LOW severity issues (optional)
Appendix C: Emergency Contacts
Security Team
Email: bdc@virtualagentics.ai
Response Time: < 1 hour for CRITICAL
GitHub Support
Private vulnerability reporting: Through repository Security tab
CERT/CC
Email: cert@cert.org
Phone: +1 412-268-7090 (24/7)
References
NIST Incident Response Guide: https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-61r2.pdf
FIRST CVSS Calculator: https://www.first.org/cvss/calculator/3.1
GitHub Security Advisories: https://docs.github.com/en/code-security/security-advisories
Security Policy: SECURITY.md
Threat Model: threat-model.md
Document Version: 1.0 Last Updated: 2025-11-03 Next Review: 2025-05-03 (Semi-annually) Owner: Security Team Approval: Pending