external/anthropic-cybersecurity-skills/skills/implementing-api-schema-validation-security/SKILL.md
Implement API schema validation using OpenAPI specifications and JSON Schema to enforce input/output contracts and prevent injection, data exposure, and mass assignment attacks.
npx skillsauth add seikaikyo/dash-skills implementing-api-schema-validation-securityInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
API schema validation enforces that all data exchanged through APIs conforms to a predefined structure defined in OpenAPI Specification (OAS) or JSON Schema documents. This prevents injection attacks (SQLi, XSS, XXE), blocks mass assignment by rejecting unknown properties, prevents data leakage by validating response schemas, and ensures type safety across all API interactions. Schema validation operates at both the API gateway level (runtime enforcement) and during development (shift-left security).
openapi: 3.1.0
info:
title: Secure E-Commerce API
version: 2.0.0
servers:
- url: https://api.example.com/v2
description: Production (HTTPS enforced)
security:
- OAuth2:
- read:products
- write:orders
paths:
/products:
post:
operationId: createProduct
security:
- OAuth2: [write:products]
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/ProductCreate'
responses:
'201':
description: Product created
content:
application/json:
schema:
$ref: '#/components/schemas/Product'
'400':
$ref: '#/components/responses/ValidationError'
'401':
$ref: '#/components/responses/Unauthorized'
/products/{productId}:
get:
operationId: getProduct
parameters:
- name: productId
in: path
required: true
schema:
type: string
format: uuid
pattern: '^[0-9a-f]{8}-[0-9a-f]{4}-4[0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$'
responses:
'200':
content:
application/json:
schema:
$ref: '#/components/schemas/Product'
components:
schemas:
ProductCreate:
type: object
required: [name, price, category]
properties:
name:
type: string
minLength: 1
maxLength: 200
pattern: '^[a-zA-Z0-9\s\-\.]+$' # No special chars for injection prevention
description:
type: string
maxLength: 2000
# Sanitize HTML entities
price:
type: number
format: float
minimum: 0.01
maximum: 999999.99
exclusiveMinimum: 0
category:
type: string
enum: [electronics, clothing, food, furniture, other]
tags:
type: array
items:
type: string
maxLength: 50
pattern: '^[a-zA-Z0-9\-]+$'
maxItems: 10
uniqueItems: true
additionalProperties: false # CRITICAL: Prevents mass assignment
Product:
type: object
required: [id, name, price]
properties:
id:
type: string
format: uuid
readOnly: true
name:
type: string
price:
type: number
category:
type: string
tags:
type: array
items:
type: string
createdAt:
type: string
format: date-time
readOnly: true
additionalProperties: false # Prevents data leakage of internal fields
ValidationErrorResponse:
type: object
required: [code, message]
properties:
code:
type: string
enum: [VALIDATION_ERROR]
message:
type: string
maxLength: 500
details:
type: array
items:
type: object
properties:
field:
type: string
error:
type: string
additionalProperties: false
maxItems: 50
additionalProperties: false
responses:
ValidationError:
description: Request validation failed
content:
application/json:
schema:
$ref: '#/components/schemas/ValidationErrorResponse'
Unauthorized:
description: Authentication required
securitySchemes:
OAuth2:
type: oauth2
flows:
authorizationCode:
authorizationUrl: https://auth.example.com/authorize
tokenUrl: https://auth.example.com/token
scopes:
read:products: Read product data
write:products: Create and update products
write:orders: Create orders
"""API Schema Validation Middleware for FastAPI
Enforces strict schema validation on all request and response payloads
to prevent injection, mass assignment, and data leakage attacks.
"""
from fastapi import FastAPI, Request, Response, HTTPException
from fastapi.middleware import Middleware
from pydantic import BaseModel, Field, field_validator, ConfigDict
from typing import List, Optional
import re
import json
from starlette.middleware.base import BaseHTTPMiddleware
app = FastAPI()
# Strict Pydantic models with security constraints
class ProductCreate(BaseModel):
model_config = ConfigDict(extra='forbid') # Reject unknown fields (mass assignment)
name: str = Field(min_length=1, max_length=200, pattern=r'^[a-zA-Z0-9\s\-\.]+$')
description: Optional[str] = Field(default=None, max_length=2000)
price: float = Field(gt=0, le=999999.99)
category: str = Field(pattern=r'^(electronics|clothing|food|furniture|other)$')
tags: Optional[List[str]] = Field(default=None, max_length=10)
@field_validator('name')
@classmethod
def sanitize_name(cls, v):
# Prevent XSS via HTML entities
dangerous_patterns = ['<script', 'javascript:', 'onerror=', 'onload=']
lower_v = v.lower()
for pattern in dangerous_patterns:
if pattern in lower_v:
raise ValueError(f'Invalid characters in name')
return v
@field_validator('description')
@classmethod
def sanitize_description(cls, v):
if v is None:
return v
# Strip potential SQL injection patterns
sql_patterns = [
r"('|--|;|/\*|\*/|xp_|exec\s|union\s+select|drop\s+table)",
]
for pattern in sql_patterns:
if re.search(pattern, v, re.IGNORECASE):
raise ValueError('Invalid content in description')
return v
@field_validator('tags')
@classmethod
def validate_tags(cls, v):
if v is None:
return v
if len(v) > 10:
raise ValueError('Maximum 10 tags allowed')
for tag in v:
if not re.match(r'^[a-zA-Z0-9\-]+$', tag) or len(tag) > 50:
raise ValueError(f'Invalid tag format: {tag}')
return v
class ProductResponse(BaseModel):
"""Response model that explicitly defines allowed output fields.
Prevents leakage of internal fields like internal_notes, cost_price, etc."""
model_config = ConfigDict(extra='forbid')
id: str
name: str
price: float
category: str
tags: List[str] = []
created_at: str
class ResponseValidationMiddleware(BaseHTTPMiddleware):
"""Middleware to validate response payloads against schema.
Prevents accidental data leakage by checking response content."""
SCHEMA_MAP = {
'/api/v2/products': {
'POST': {'response_model': ProductResponse},
'GET': {'response_model': ProductResponse},
}
}
async def dispatch(self, request: Request, call_next):
response = await call_next(request)
# Only validate JSON responses
content_type = response.headers.get('content-type', '')
if 'application/json' not in content_type:
return response
# Check if endpoint has a registered response schema
path = request.url.path
method = request.method
route_config = self.SCHEMA_MAP.get(path, {}).get(method)
if not route_config:
return response
# Read and validate response body
body = b""
async for chunk in response.body_iterator:
body += chunk
try:
data = json.loads(body)
model = route_config['response_model']
if isinstance(data, list):
for item in data:
model.model_validate(item)
else:
model.model_validate(data)
except Exception as e:
# Log the validation failure for security monitoring
print(f"SECURITY: Response schema violation on {method} {path}: {e}")
# Return a safe error instead of potentially leaked data
return Response(
content=json.dumps({"error": "Internal server error"}),
status_code=500,
media_type="application/json"
)
return Response(
content=body,
status_code=response.status_code,
headers=dict(response.headers),
media_type=response.media_type
)
app.add_middleware(ResponseValidationMiddleware)
@app.post("/api/v2/products", response_model=ProductResponse, status_code=201)
async def create_product(product: ProductCreate):
# ProductCreate model with extra='forbid' automatically rejects
# any unknown fields, preventing mass assignment attacks
# (e.g., attacker trying to set is_admin=true or price=0)
pass
# Upload OpenAPI schema to Cloudflare API Shield
curl -X POST "https://api.cloudflare.com/client/v4/zones/{zone_id}/api_gateway/user_schemas" \
-H "Authorization: Bearer ${CF_API_TOKEN}" \
-H "Content-Type: multipart/form-data" \
-F "[email protected]" \
-F "kind=openapi_v3"
# Enable schema validation with blocking mode
curl -X PATCH "https://api.cloudflare.com/client/v4/zones/{zone_id}/api_gateway/settings/schema_validation" \
-H "Authorization: Bearer ${CF_API_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"validation_default_mitigation_action": "block",
"validation_override_mitigation_action": null
}'
# GitHub Actions workflow for schema validation in CI
name: API Schema Security Check
on:
pull_request:
paths: ['api/**', 'openapi/**']
jobs:
schema-security:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Validate OpenAPI Schema
run: |
npm install -g @stoplight/spectral-cli
spectral lint openapi.yaml --ruleset .spectral-security.yaml
- name: Check for Security Anti-Patterns
run: |
python3 scripts/schema_security_check.py openapi.yaml
- name: Run Contract Tests
run: |
npm install -g dredd
dredd openapi.yaml http://localhost:3000 --hookfiles=./test/hooks.js
| Anti-Pattern | Risk | Fix |
|---|---|---|
| additionalProperties: true or missing | Mass assignment | Set additionalProperties: false |
| No maxLength on strings | Buffer overflow, DoS | Add appropriate maxLength constraints |
| No pattern on string fields | Injection attacks | Add regex patterns to restrict input |
| No enum for fixed-value fields | Unexpected input processing | Use enum for fields with known values |
| format: password without TLS | Credential exposure | Enforce HTTPS-only server URLs |
| Missing error response schemas | Information leakage | Define all 4xx/5xx response schemas |
| readOnly fields in request body | Data manipulation | Enforce readOnly server-side |
development
拋棄式 HTML mockup 比稿:產出 2 到 3 個設計立場不同的變體(密度 / 版式 / 強調軸,不是換色),各附取捨說明,最後給有立場的對比結論。適用:「畫個草圖」「比較 A 版 B 版」「先看方向再做」「給我看幾種做法」。要 production 元件或設計已定案時不適用。
tools
需求不明時的意圖萃取訪談:一次一題、每題附上自己的猜測、聽出「真正想要 vs 覺得應該要」,直到能預測使用者反應(約 95% 信心)才動工。適用:需求缺少對象 / 動機 / 成功標準 / 約束,或使用者點名「訪談我」「先確認一下」「我們確定嗎」。明確自足的指示、純資訊查詢、機械性操作不適用。
development
對非平凡決策啟動新鮮 context 對抗審查(找碴不背書),在修正還便宜的時候抓出錯誤方向。適用:高風險改動(production、資安敏感邏輯、不可逆操作)、不熟的程式碼、要宣稱「這樣是安全的 / 可行的」之前。機械性操作與一行修改不適用。
testing
Reference for writing and editing agent skills well — the vocabulary and principles that make a skill predictable. Consult when authoring, reviewing, or pruning a SKILL.md.