tao12345666333/ankaloop/security-best-practices

Claude Code and agent skill by tao12345666333/ankaloop

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Security best practices and vulnerability prevention guidelines

Install

npx vskill@latest install tao12345666333/ankaloop/security-best-practices

SKILL.md

Security Best Practices Skill

When writing code, follow these security best practices to prevent common vulnerabilities.

Input Validation

Always validate and sanitize user input:

python
# ❌ Bad - trusting user input
user_id = request.args.get('id')
query = f"SELECT * FROM users WHERE id = {user_id}"
# ✅ Good - parameterized query
user_id = request.args.get('id')
cursor.execute("SELECT * FROM users WHERE id = ?", (user_id,))
Validation Checklist
  • Validate type, length, format, and range
  • Use allowlists over denylists
  • Sanitize for the specific output context
  • Never trust client-side validation alone

Authentication

Implement secure authentication:

  • Use established libraries (e.g., bcrypt, argon2)
  • Never store passwords in plain text
  • Implement rate limiting on login attempts
  • Use secure session management
  • Implement proper logout handling
python
# ✅ Good - using bcrypt
import bcrypt
def hash_password(password: str) -> bytes:
    return bcrypt.hashpw(password.encode(), bcrypt.gensalt())
def verify_password(password: str, hash: bytes) -> bool:
    return bcrypt.checkpw(password.encode(), hash)

Authorization

Check permissions on every request:

python
# ✅ Good - checking authorization
def delete_post(post_id: int, user: User):
    post = get_post(post_id)
    if post.author_id != user.id and not user.is_admin:
        raise PermissionError("Not authorized")
    delete_post_from_db(post_id)

Secrets Management

Never hardcode secrets:

python
# ❌ Bad
API_KEY = "sk-1234567890abcdef"
# ✅ Good
import os
API_KEY = os.environ.get('API_KEY')
Environment Variables
  • Use .env files for development (in .gitignore)
  • Use secrets managers in production
  • Rotate secrets regularly
  • Use different secrets per environment

SQL Injection Prevention

Always use parameterized queries:

python
# ❌ Bad - string concatenation
cursor.execute(f"SELECT * FROM users WHERE name = '{name}'")
# ✅ Good - parameterized
cursor.execute("SELECT * FROM users WHERE name = ?", (name,))
# ✅ Good - ORM
User.query.filter_by(name=name).first()

XSS Prevention

Escape output and use Content Security Policy:

python
# ✅ Good - escaping in templates (Jinja2)
{{ user_input }}  # Auto-escaped
# ✅ Good - explicit escaping
from markupsafe import escape
safe_output = escape(user_input)
javascript
// ❌ Bad
element.innerHTML = userInput;
// ✅ Good
element.textContent = userInput;

CSRF Protection

Implement CSRF tokens:

html
<form method="POST">
    <input type="hidden" name="csrf_token" value="{{ csrf_token }}">
    ...
</form>

Secure Headers

Set security headers:

python
# Flask example
@app.after_request
def set_secure_headers(response):
    response.headers['X-Content-Type-Options'] = 'nosniff'
    response.headers['X-Frame-Options'] = 'DENY'
    response.headers['X-XSS-Protection'] = '1; mode=block'
    response.headers['Content-Security-Policy'] = "default-src 'self'"
    return response

Error Handling

Don't expose sensitive information in errors:

python
# ❌ Bad - exposing stack trace
except Exception as e:
    return {"error": str(e), "stack": traceback.format_exc()}
# ✅ Good - generic error message
except Exception as e:
    logger.error(f"Error: {e}", exc_info=True)
    return {"error": "An internal error occurred"}

Dependency Security

Keep dependencies updated:

bash
# Check for vulnerabilities
pip-audit
npm audit
snyk test

File Operations

Validate file paths to prevent path traversal:

python
import os
# ✅ Good - validate path is within allowed directory
def safe_read(user_path: str, base_dir: str) -> str:
    full_path = os.path.realpath(os.path.join(base_dir, user_path))
    if not full_path.startswith(os.path.realpath(base_dir)):
        raise ValueError("Path traversal attempt")
    return open(full_path).read()

Logging

Log security events but not sensitive data:

python
# ❌ Bad - logging passwords
logger.info(f"Login attempt: user={username}, password={password}")
# ✅ Good - logging without sensitive data
logger.info(f"Login attempt: user={username}, success={success}")

Quick Reference

VulnerabilityPrevention
SQL InjectionParameterized queries
XSSOutput encoding, CSP
CSRFCSRF tokens
Path TraversalPath validation
Command InjectionAvoid shell=True
Hardcoded SecretsEnvironment variables
Weak Passwordsbcrypt/argon2, complexity rules

Security

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