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

# 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.