# Security Policy for Maintenance Module

## Overview

The Tools module provides development utilities including dependency analysis, project analysis, and code quality tools. These tools have elevated access to file systems and code, requiring careful security consideration.

## Security Considerations

### File System Access

1. **Path Validation**: Validate all file paths to prevent path traversal attacks.
2. **Read-Only Operations**: Default to read-only operations; require explicit authorization for writes.
3. **Scope Limitation**: Limit analysis to intended project directories.
4. **Symbolic Link Handling**: Be cautious with symlinks that may point outside project scope.

### Code Analysis Security

1. **Sandboxed Execution**: Never execute analyzed code without explicit sandboxing.
2. **AST Parsing**: Use safe AST parsing that doesn't evaluate code.
3. **Resource Limits**: Implement timeouts and memory limits for analysis operations.
4. **Large File Handling**: Guard against resource exhaustion from analyzing very large files.

### Output Security

1. **Sensitive Data Filtering**: Filter out secrets, credentials, and sensitive paths from reports.
2. **Report Access Control**: Restrict access to generated reports containing project information.
3. **Safe Output Formats**: Escape output appropriately for the target format (HTML, JSON, etc.).

## Threat Model

| Threat | Impact | Mitigation |
|--------|--------|------------|
| Path traversal | Unauthorized file access | Path canonicalization, scope validation |
| Malicious code analysis | Code execution | AST-only parsing, no eval |
| Resource exhaustion | DoS | Timeouts, memory limits, file size checks |
| Information disclosure | Sensitive data exposure | Output filtering, access controls |
| Dependency confusion | Supply chain attacks | Dependency verification, lockfile validation |

## Secure Implementation Patterns

```python
# Example: Secure file path handling
def analyze_file(file_path: Path, project_root: Path) -> AnalysisResult:
    """Securely analyze a file within project scope."""
    # Resolve and validate path
    resolved = file_path.resolve()
    root_resolved = project_root.resolve()

    # Ensure path is within project root
    try:
        resolved.relative_to(root_resolved)
    except ValueError:
        logger.warning(f"Path traversal attempt: {file_path}")
        raise SecurityError("Path outside project scope")

    # Check file size limits
    if resolved.stat().st_size > MAX_FILE_SIZE:
        raise ResourceLimitError("File too large for analysis")

    # Use safe AST parsing (no eval)
    with open(resolved, 'r') as f:
        content = f.read()

    try:
        tree = ast.parse(content, filename=str(resolved))
    except SyntaxError as e:
        return AnalysisResult(file=resolved, error=str(e))

    return _analyze_ast(tree, resolved)
```

## Dependency Analysis Security

1. **Lockfile Verification**: Verify dependencies against lockfiles when available.
2. **Known Vulnerability Check**: Cross-reference dependencies with vulnerability databases.
3. **Circular Dependency Detection**: Detect and report circular dependencies safely.
4. **External Reference Validation**: Validate that external package references are legitimate.

## Compliance

- Tool operations must be auditable
- Sensitive project information must be protected
- Analysis results must not be shared without authorization

## Vulnerability Reporting

Report security vulnerabilities via the main project's security reporting process.
