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owasp-security
The OWASP Security skill provides a reference guide for identifying and preventing the top 10 web application vulnerabilities including broken access control, cryptographic failures, and injection attacks. Use this skill when reviewing code for security vulnerabilities, implementing authentication and authorization systems, validating user input, or discussing secure development practices aligned with OWASP Top 10:2025, ASVS 5.0, and LLM security standards.
Install in Claude Code
Copygit clone --depth 1 https://github.com/agamm/claude-code-owasp /tmp/owasp-security && cp -r /tmp/owasp-security/.claude/skills/owasp-security ~/.claude/skills/owasp-securityThen start a new Claude Code session; the skill loads automatically.
Definition
SKILL.md
# OWASP Security Best Practices Skill
Apply these security standards when writing or reviewing code.
**Reference files** (load on demand):
- [`reference/languages.md`](reference/languages.md) — per-language security quirks with unsafe/safe examples for 20+ languages.
- [`reference/owasp-report.md`](reference/owasp-report.md) — comprehensive deep-dive on every OWASP 2025–2026 standard.
## Quick Reference: OWASP Top 10:2025
| # | Vulnerability | Key Prevention |
|---|---------------|----------------|
| A01 | Broken Access Control | Deny by default, enforce server-side, verify ownership |
| A02 | Security Misconfiguration | Harden configs, disable defaults, minimize features |
| A03 | Software Supply Chain Failures | Lock versions, verify integrity, audit dependencies |
| A04 | Cryptographic Failures | TLS 1.2+, AES-256-GCM, Argon2/bcrypt for passwords |
| A05 | Injection | Parameterized queries, input validation, safe APIs |
| A06 | Insecure Design | Threat model, rate limit, design security controls |
| A07 | Authentication Failures | MFA, check breached passwords, secure sessions |
| A08 | Software or Data Integrity Failures | Sign packages, SRI for CDN, safe serialization |
| A09 | Security Logging and Alerting Failures | Log security events, structured format, alerting |
| A10 | Mishandling of Exceptional Conditions | Fail-closed, hide internals, log with context |
## Security Code Review Checklist
When reviewing code, check for these issues:
### Input Handling
- [ ] All user input validated server-side
- [ ] Using parameterized queries (not string concatenation)
- [ ] Input length limits enforced
- [ ] Allowlist validation preferred over denylist
### Authentication & Sessions
- [ ] Passwords hashed with Argon2/bcrypt (not MD5/SHA1)
- [ ] Session tokens have sufficient entropy (128+ bits)
- [ ] Sessions invalidated on logout
- [ ] MFA available for sensitive operations
### Access Control
- [ ] Check for framework-level auth middleware (e.g., Next.js middleware.ts, proxy.ts, Express middleware) before flagging missing per-route auth
- [ ] Authorization checked on every request
- [ ] Using object references user cannot manipulate
- [ ] Deny by default policy
- [ ] Privilege escalation paths reviewed
### Data Protection
- [ ] Sensitive data encrypted at rest
- [ ] TLS for all data in transit
- [ ] No sensitive data in URLs/logs
- [ ] Secrets in environment/vault (not code)
### Error Handling
- [ ] No stack traces exposed to users
- [ ] Fail-closed on errors (deny, not allow)
- [ ] All exceptions logged with context
- [ ] Consistent error responses (no enumeration)
## Secure Code Patterns
### SQL Injection Prevention
```python
# UNSAFE
cursor.execute(f"SELECT * FROM users WHERE id = {user_id}")
# SAFE
cursor.execute("SELECT * FROM users WHERE id = %s", (user_id,))
```
### Command Injection Prevention
```python
# UNSAFE
os.system(f"convert {filename} output.png")
# SAFE
subprocess.run(["convert", filename, "output.png"], shell=False)
```
### Password Storage
```python
# UNSAFE
hashlib.md5(password.encode()).hexdigest()
# SAFE
from argon2 import PasswordHasher
PasswordHasher().hash(password)
```
### Access Control
```python
# UNSAFE - No authorization check
@app.route('/api/user/<user_id>')
def get_user(user_id):
return db.get_user(user_id)
# SAFE - Authorization enforced
@app.route('/api/user/<user_id>')
@login_required
def get_user(user_id):
if current_user.id != user_id and not current_user.is_admin:
abort(403)
return db.get_user(user_id)
```
### Error Handling
```python
# UNSAFE - Exposes internals
@app.errorhandler(Exception)
def handle_error(e):
return str(e), 500
# SAFE - Fail-closed, log context
@app.errorhandler(Exception)
def handle_error(e):
error_id = uuid.uuid4()
logger.exception(f"Error {error_id}: {e}")
return {"error": "An error occurred", "id": str(error_id)}, 500
```
### Fail-Closed Pattern
```python
# UNSAFE - Fail-open
def check_permission(user, resource):
try:
return auth_service.check(user, resource)
except Exception:
return True # DANGEROUS!
# SAFE - Fail-closed
def check_permission(user, resource):
try:
return auth_service.check(user, resource)
except Exception as e:
logger.error(f"Auth check failed: {e}")
return False # Deny on error
```
## Agentic AI Security (OWASP 2026)
When building or reviewing AI agent systems, check for:
| Risk | Description | Mitigation |
|------|-------------|------------|
| ASI01: Agent Goal Hijacking | Prompt injection alters agent objectives | Input sanitization, goal boundaries, behavioral monitoring |
| ASI02: Tool Misuse | Tools used in unintended ways | Least privilege, fine-grained permissions, validate I/O |
| ASI03: Identity & Privilege Abuse | Delegated trust, inherited credentials, role chain exploits | Short-lived scoped tokens, identity verification |
| ASI04: Agentic Supply Chain Vulnerabilities | Compromised plugins/MCP servers | Verify signatures, sandbox, allowlist plugins |
| ASI05: Unexpected Code Execution | Unsafe code generation/execution | Sandbox execution, static analysis, human approval |
| ASI06: Memory & Context Poisoning | Corrupted RAG/context data | Validate stored content, segment by trust level |
| ASI07: Insecure Inter-Agent Comms | Spoofing/intercepting agent-to-agent messages | Authenticate, encrypt, verify message integrity |
| ASI08: Cascading Failures | Errors propagate across systems | Circuit breakers, graceful degradation, isolation |
| ASI09: Human-Agent Trust Exploitation | Over-trust in agents leveraged to manipulate users | Label AI content, user education, verification steps |
| ASI10: Rogue Agents | Compromised agents acting maliciously | Behavior monitoring, kill switches, anomaly detection |
### Agent Security Checklist
- [ ] All agent inputs sanitized and validated
- [ ] Tools operate with minimum required permissions
- [ ] Credentials are short-lived and scoped
- [ ]