agamm/claude-code-owasp3 files

Owasp Security

Use when reviewing code for security vulnerabilities, implementing authentication/authorization, handling user input, or discussing web application security. Covers OWASP Top 10:2025, ASVS 5.0, LLM Top 10 (2025), and Agentic AI security (2026).

Specification
Skill ID
agamm/claude-code-owasp/owasp-security
Publisher
agamm
Repository
claude-code-owasp
Installs
0
Files
3
Synced
Sep 23, 2026
How to use it

Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.

agamm/claude-code-owasp/owasp-securityInstalls these files
  • SKILL.md
  • reference/languages.md
  • reference/owasp-report.md

What this skill tells the agent

OWASP Security Best Practices Skill

Apply these security standards when writing or reviewing code.

Reference files (load on demand):

  • `reference/languages.md` — per-language security quirks with unsafe/safe examples for 20+ languages.
  • `reference/owasp-report.md` — comprehensive deep-dive on every OWASP 2025–2026 standard.

Quick Reference: OWASP Top 10:2025

#VulnerabilityKey Prevention
A01Broken Access ControlDeny by default, enforce server-side, verify ownership
A02Security MisconfigurationHarden configs, disable defaults, minimize features
A03Software Supply Chain FailuresLock versions, verify integrity, audit dependencies
A04Cryptographic FailuresTLS 1.2+, AES-256-GCM, Argon2/bcrypt for passwords
A05InjectionParameterized queries, input validation, safe APIs
A06Insecure DesignThreat model, rate limit, design security controls
A07Authentication FailuresMFA, check breached passwords, secure sessions
A08Software or Data Integrity FailuresSign packages, SRI for CDN, safe serialization
A09Security Logging and Alerting FailuresLog security events, structured format, alerting
A10Mishandling of Exceptional ConditionsFail-closed, hide internals, log with context

Before Reporting a Finding

A pattern match is not a vulnerability. The most common failure mode in automated security review is reporting unreachable or already-mitigated code, which buries the real findings. Confirm all three before reporting:

  1. Is the input actually attacker-controlled? Trace it back to a real entry point — a request parameter, header, cookie, uploaded file, webhook, queue message, or third-party API response. A value that only ever comes from a constant, an enum, or trusted internal config is not an injection source.
  2. Is the sink reachable with that input? Check whether validation, an allowlist, an ORM, or a framework-level control already sits between them. Look for auth middleware (middleware.ts, proxy.ts, Express/Django/Rails middleware, a base controller, decorators) before flagging a route as missing authorization — enforcement is often centralized rather than per-route.
  3. What is the blast radius? Who can trigger it, what do they get, and does it cross a trust boundary? An SSRF reaching cloud metadata differs from one reaching localhost only.

Report severity by exploitability, not by pattern. State the concrete path — this input reaches this sink — and say so explicitly when a finding is theoretical or defense-in-depth rather than directly exploitable. If reachability can't be determined from the code available, say that instead of asserting either way.

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

  • [ ] 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

# 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

# UNSAFE
os.system(f"convert {filename} output.png")

# SAFE
subprocess.run(["convert", filename, "output.png"], shell=False)

Password Storage

# UNSAFE
hashlib.md5(password.encode()).hexdigest()

# SAFE
from argon2 import PasswordHasher
PasswordHasher().hash(password)

Access Control

# 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

# 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

# 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:

RiskDescriptionMitigation
ASI01: Agent Goal HijackingPrompt injection alters agent objectivesInput sanitization, goal boundaries, behavioral monitoring
ASI02: Tool MisuseTools used in unintended waysLeast privilege, fine-grained permissions, validate I/O
ASI03: Identity & Privilege AbuseDelegated trust, inherited credentials, role chain exploitsShort-lived scoped tokens, identity verification
ASI04: Agentic Supply Chain VulnerabilitiesCompromised plugins/MCP serversVerify signatures, sandbox, allowlist plugins
ASI05: Unexpected Code ExecutionUnsafe code generation/executionSandbox execution, static analysis, human approval
ASI06: Memory & Context PoisoningCorrupted RAG/context dataValidate stored content, segment by trust level
ASI07: Insecure Inter-Agent CommsSpoofing/intercepting agent-to-agent messagesAuthenticate, encrypt, verify message integrity
ASI08: Cascading FailuresErrors propagate across systemsCircuit breakers, graceful degradation, isolation
ASI09: Human-Agent Trust ExploitationOver-trust in agents leveraged to manipulate usersLabel AI content, user education, verification steps
ASI10: Rogue AgentsCompromised agents acting maliciouslyBehavior monitoring, kill switches, anomaly detection

OWASP Top 10 for LLM Applications (2025)

When building or reviewing applications that call LLMs (chatbots, RAG, copilots, agents), check for:

#RiskKey Mitigation
LLM01Prompt InjectionSeparate trusted instructions from untrusted data, filter outputs, isolate privileges between user/tool/system context
LLM02Sensitive Information DisclosureSanitize training/RAG data, strip PII from context, restrict what the model can retrieve per user
LLM03Supply ChainVerify model provenance and signatures, vet third-party model hubs, lock model + adapter versions
LLM04Data and Model PoisoningValidate training/fine-tuning sources, anomaly-detect on data ingestion, hold-out integrity tests

Use this skill in a project

Open any RiverX project, search the Skills panel for agamm/claude-code-owasp/owasp-security, and install it in one click.

Use this skill