The Log Analyzer Tool is designed for cybersecurity professionals, and we take security seriously. If you discover a security vulnerability, we appreciate your help in disclosing it responsibly.

Please do NOT report security vulnerabilities through public GitHub issues.

Instead, please report security vulnerabilities by:

1. Email: Send details to the project maintainer (include "SECURITY" in subject line)
2. Private GitHub Security Advisory: Use GitHub's private vulnerability reporting feature
3. Encrypted Communication: If needed, request PGP key for sensitive disclosures

When reporting a security vulnerability, please include:

• Type of vulnerability (e.g., code injection, path traversal, etc.)
• Full paths of source file(s) related to the vulnerability
• Location of the affected source code (tag/branch/commit or direct URL)
• Special configuration required to reproduce the issue
• Step-by-step instructions to reproduce the vulnerability
• Proof-of-concept or exploit code (if possible)
• Impact assessment of the vulnerability
• Suggested fix (if you have ideas)

• Initial Response: Within 48 hours of receiving the report
• Confirmation: Within 1 week of initial response
• Fix Development: Depends on complexity, typically 1-4 weeks
• Public Disclosure: After fix is available and tested

• Code Injection: Through log parsing or file operations
• Path Traversal: Via file path parameters
• Denial of Service: Through malformed log inputs
• Information Disclosure: Exposure of sensitive system information
• Input Validation: Bypass of security checks
• Regex DoS: Catastrophic backtracking in patterns

• Social Engineering: Attacks on users rather than the software
• Physical Access: Vulnerabilities requiring local machine access
• Third-party Dependencies: Issues in Python standard library
• Misconfiguration: User errors in deployment
• Rate Limiting: DoS through legitimate high-volume usage

The tool has been designed with these security principles:

• All IP addresses are validated using regex and range checks
• File paths are checked for existence and permissions
• Log entries are processed safely without code execution

• No use of eval(), exec(), or similar dangerous functions
• Regex patterns designed to prevent catastrophic backtracking
• Memory usage considered for large file processing

• Errors don't expose sensitive system information
• Graceful degradation for malformed inputs
• Logging doesn't include sensitive data

If you find any of these types of vulnerabilities, please report immediately:

1. Remote Code Execution (RCE)
2. SQL Injection (if database features are added)
3. Path Traversal leading to file system access
4. Privilege Escalation
5. Authentication Bypass (if auth features are added)

Security researchers who responsibly disclose vulnerabilities will be:

• Credited in the security advisory (unless anonymity is requested)
• Listed in the project's security acknowledgments
• Thanked publicly after the issue is resolved
• Consulted on the fix implementation (if desired)

# Ensure log files have appropriate permissions
chmod 640 /var/log/auth.log
chown root:adm /var/log/auth.log

# Run with minimal privileges
python analyzer.py /path/to/logs/auth.log

# Use absolute paths to prevent confusion
python analyzer.py /var/log/auth.log --export csv

# Validate output file paths
python analyzer.py logs/auth.log --output /safe/path/report.json

• Run in isolated environments when analyzing untrusted logs
• Regularly update Python and system packages
• Monitor resource usage when processing large files
• Use read-only access for log files when possible

• OWASP Top 10
• Python Security Best Practices
• Secure Coding Guidelines
• Log Analysis Security

The project undergoes regular security reviews:

• Code Review: All contributions are reviewed for security issues
• Dependency Scanning: Regular checks for vulnerable dependencies
• Static Analysis: Automated security scanning when available
• Penetration Testing: Periodic security assessments

Thank you for helping keep the Log Analyzer Tool secure! 🛡️

Report responsibly, analyze securely! 🔒