OptiBlogAi takes security seriously. As an AI-powered content generation platform that handles API keys, processes web content, and generates text, we are committed to maintaining the highest security standards to protect our users and their data.

This document outlines our security policies, reporting procedures, and best practices for maintaining a secure environment.

• Supported Versions
• Security Considerations
• Reporting Vulnerabilities
• Security Best Practices
• Data Protection
• Incident Response
• Security Updates

We provide security updates for the following versions of OptiBlogAi:

Note: As this is an early-stage open source project, we currently focus security support on the main branch and stable releases. We recommend always using the latest stable version.

OptiBlogAi's AI-powered nature introduces unique security considerations:

• API key exposure: Groq, Gemini, and other API keys must be protected
• Rate limiting: Prevent abuse of third-party AI services
• Input validation: Sanitize prompts to prevent injection attacks
• Output validation: Verify generated content for malicious or harmful material

• Prompt injection: Malicious prompts designed to manipulate AI behavior
• Data leakage: Preventing training data or sensitive information exposure
• Content integrity: Ensuring generated content hasn't been maliciously altered
• Copyright concerns: Avoiding generation of copyrighted material

• SSRF attacks: Server-Side Request Forgery through malicious URLs
• XSS prevention: Sanitizing scraped content to prevent script injection
• Rate limiting: Respecting robots.txt and avoiding aggressive scraping
• DNS rebinding: Protecting against internal network access

• API endpoint security
• Access control for administrative functions
• Session management for web interfaces

• SQL injection prevention
• Command injection prevention
• Path traversal protection
• File upload security

• Container security (Docker)
• Dependency management
• Environment configuration
• Network security

We take all security reports seriously. Please report security vulnerabilities responsibly:

🔒 For Security Issues - DO NOT use public GitHub issues

1. GitHub Security Advisories (Recommended)

   • Go to the OptiBlogAi repository
   • Click "Security" tab → "Report a vulnerability"
   • Fill out the private vulnerability report form

2. Direct Contact

   • Contact: Project Maintainer (4darsh-Dev)
   • GitHub: @4darsh-Dev
   • Use GitHub's private messaging for initial contact

3. Email (if other methods unavailable)

   • For critical vulnerabilities, reach out via GitHub direct messages
   • Include "SECURITY:" in the subject line

Please provide as much information as possible:

• Vulnerability type: What kind of security issue is this?
• Affected component: Which part of OptiBlogAi is affected?
• Impact assessment: What could an attacker accomplish?
• Steps to reproduce: Clear instructions to reproduce the issue
• Proof of concept: Code, screenshots, or other evidence (if available)

• Environment details: OS, Python version, dependencies
• Configuration: Relevant settings or deployment details
• Suggested fix: If you have ideas for resolving the issue
• Related CVEs: Any related Common Vulnerabilities and Exposures
• Timeline: When you discovered the issue

Subject: Security Vulnerability - [Brief Description]

Vulnerability Type: [e.g., Authentication Bypass, XSS, API Key Exposure]

Component Affected: [e.g., Content Scraper, API Endpoints, LLM Integration]

Severity: [Critical/High/Medium/Low]

Description:
[Detailed explanation of the vulnerability]

Impact:
[What could an attacker accomplish with this vulnerability?]

Steps to Reproduce:
1. [First step]
2. [Second step]
3. [etc.]

Proof of Concept:
[Code snippet, screenshot, or other evidence]

Suggested Mitigation:
[Your ideas for fixing the issue, if any]

Environment:
- OptiBlogAi version: [version]
- Python version: [version]
- OS: [operating system]
- Additional details: [any other relevant information]

We aim to respond to security reports according to the following timeline:

Note: These are target timelines. Complex issues may require additional time.

1. Acknowledgment: We'll confirm receipt of your report
2. Assessment: We'll evaluate the severity and impact
3. Investigation: We'll reproduce and analyze the issue
4. Resolution: We'll develop and test a fix
5. Disclosure: We'll coordinate responsible disclosure
6. Recognition: We'll acknowledge your contribution (if desired)

# ✅ Good: Use environment variables
export GROQ_API_KEY="your-key-here"
export GEMINI_API_KEY="your-key-here"

# ❌ Bad: Hardcoding in source code
api_key = "gsk_1234567890abcdef"  # Never do this!

# Create secure .env file
cp .env.example .env
chmod 600 .env  # Restrict file permissions

# Run container as non-root user
docker run --user 1000:1000 optiblogai

# Limit container capabilities
docker run --cap-drop=ALL --cap-add=NET_BIND_SERVICE optiblogai

# ✅ Good: Validate and sanitize inputs
def validate_keyword(keyword: str) -> str:
    if not keyword or len(keyword) > 100:
        raise ValueError("Invalid keyword")
    # Remove potentially dangerous characters
    return re.sub(r'[^\w\s-]', '', keyword)

# ❌ Bad: Using inputs directly
def scrape_content(url):
    return requests.get(url)  # Vulnerable to SSRF

# ✅ Good: Sanitize scraped content
from bs4 import BeautifulSoup
import bleach

def clean_content(html_content: str) -> str:
    # Parse with BeautifulSoup
    soup = BeautifulSoup(html_content, 'html.parser')
    text = soup.get_text()
    
    # Sanitize with bleach
    return bleach.clean(text, strip=True)

# ✅ Good: Validate prompts and responses
def generate_content(prompt: str) -> str:
    # Validate input prompt
    if len(prompt) > MAX_PROMPT_LENGTH:
        raise ValueError("Prompt too long")
    
    # Sanitize prompt to prevent injection
    sanitized_prompt = sanitize_prompt(prompt)
    
    # Generate content
    response = llm_client.generate(sanitized_prompt)
    
    # Validate and filter response
    return validate_generated_content(response)

# Regular security updates
pip install --upgrade -r requirements.txt

# Check for known vulnerabilities
pip-audit

# Use dependabot for automated updates

# requirements.txt - Pin to specific versions
beautifulsoup4==4.13.3
fastapi==0.104.1
groq==0.4.1

OptiBlogAi may process various types of data. We implement these protections:

• Keywords and prompts are not logged permanently
• User-provided content is processed in memory only
• No personal information is required for basic functionality

• Generated content is not stored unless explicitly requested
• Temporary files are securely deleted after processing
• No generated content is shared with third parties

• Respect robots.txt files
• Honor website rate limits
• Process only publicly available content
• Delete scraped content after processing

• API keys are never logged or transmitted
• Secure environment variable management
• Regular key rotation recommendations

• Data minimization: We collect only necessary data
• Purpose limitation: Data used only for intended purposes
• Storage limitation: Temporary data deleted promptly
• Transparency: Clear documentation of data handling
• User rights: Ability to request data deletion

• API key compromise or exposure
• Unauthorized access to user data
• Malicious code injection successful
• Service completely compromised

• Denial of service attacks
• Privilege escalation vulnerabilities
• Data integrity compromised
• Significant functionality bypass

• Information disclosure
• Authentication issues
• Non-critical functionality compromise
• Performance degradation attacks

• Minor information leakage
• Cosmetic security issues
• Documentation security concerns
• Non-exploitable vulnerabilities

1. Detection and Analysis

   • Identify the scope and impact
   • Preserve evidence and logs
   • Determine incident classification

2. Containment

   • Implement immediate protective measures
   • Prevent further damage
   • Maintain service availability where possible

3. Eradication

   • Remove vulnerabilities or malicious code
   • Update affected systems
   • Strengthen security controls

4. Recovery

   • Restore normal operations
   • Monitor for recurring issues
   • Validate system integrity

5. Post-Incident Review

   • Document lessons learned
   • Update security procedures
   • Implement preventive measures

We will notify users of security updates through:

• GitHub Security Advisories: For all security-related releases
• Release Notes: Detailed information about fixes
• Repository Notifications: GitHub watch/notification system
• Documentation Updates: Security guide updates

# Update to latest secure version
git pull origin main
pip install -r requirements.txt --upgrade

# Verify security status
python -c "import src; print('Security check passed')"

# Security release process
git checkout main
git tag -a v1.x.x -m "Security release: [Description]"
git push origin v1.x.x

# Update security documentation
git add SECURITY.md
git commit -m "Update security documentation"

We use various automated tools to maintain security:

• Dependabot: Automated dependency updates
• CodeQL: Static code analysis
• Container scanning: Docker image vulnerability scanning
• Secrets scanning: Detection of accidentally committed secrets

• Primary Contact: Project Maintainer (4darsh-Dev)
• GitHub: @4darsh-Dev
• Response Time: See timeline table above

• Security Documentation: This file and contributing guidelines
• Community Guidelines: Code of Conduct
• Technical Documentation: Project docs
• Issue Tracking: GitHub Issues (for non-security issues)

We welcome security researchers and encourage responsible disclosure. Contributors who report valid security issues will be:

• Acknowledged in our security hall of fame (if desired)
• Credited in release notes and security advisories
• Invited to participate in security discussions
• Considered for recognition in project documentation

By reporting security vulnerabilities to us, you agree to:

• Provide reasonable time for investigation and resolution
• Not publicly disclose issues until we've had a chance to address them
• Not use vulnerabilities for malicious purposes
• Not access data beyond what's necessary to demonstrate the issue

We will not pursue legal action against researchers who:

• Follow responsible disclosure practices
• Report vulnerabilities in good faith
• Do not violate laws or harm users
• Respect user privacy and data protection

Thank you for helping keep OptiBlogAi secure! 🔒

Security is a shared responsibility. Together, we can build a safer AI-powered content generation platform.