Test 3rd party
Summary
Below are ready‑to‑use, safe examples you can copy and adapt: (A) SQL schema and parameterized queries for a typical audit/event system, and (B) sample code to call the Bing Web Search API (or Azure Bing endpoint) securely. All API keys are placeholders — never hardcode secrets. I also include security best practices and quick test steps.
SQL Schema and Parameterized Queries
Purpose: store audit events, vendor engagements, and test results for third‑party audits and resilience tests.
-- Schema: audit_events table
CREATE TABLE audit_events (
id BIGSERIAL PRIMARY KEY,
project_name TEXT NOT NULL,
event_type TEXT NOT NULL, -- e.g., "penetration_test", "chaos_run", "finding"
severity TEXT NOT NULL, -- e.g., "low","medium","high","critical"
description TEXT,
evidence_url TEXT, -- link to encrypted artifact
created_by TEXT NOT NULL,
created_at TIMESTAMP WITH TIME ZONE DEFAULT now(),
resolved BOOLEAN DEFAULT FALSE,
resolved_at TIMESTAMP WITH TIME ZONE
);
-- Schema: vendors table
CREATE TABLE vendors (
id BIGSERIAL PRIMARY KEY,
name TEXT NOT NULL,
contact_email TEXT,
certified BOOLEAN DEFAULT FALSE,
notes TEXT,
created_at TIMESTAMP WITH TIME ZONE DEFAULT now()
);
-- Indexes for common queries
CREATE INDEX idx_audit_events_project ON audit_events(project_name);
CREATE INDEX idx_audit_events_severity ON audit_events(severity);
Insert with parameterized query (Postgres example)
-- Use parameterized queries from your application layer (example placeholders $1, $2)
INSERT INTO audit_events (
project_name, event_type, severity, description, evidence_url, created_by
) VALUES ($1, $2, $3, $4, $5, $6)
RETURNING id, created_at;
Select examples (safe, parameterized)
-- Get open high/critical findings for a project
SELECT id, event_type, severity, description, created_at
FROM audit_events
WHERE project_name = $1
AND resolved = FALSE
AND severity IN ('high','critical')
ORDER BY created_at DESC
LIMIT 100;
-- Mark an event resolved (use parameterized update)
UPDATE audit_events
SET resolved = TRUE, resolved_at = now()
WHERE id = $1
RETURNING id, resolved, resolved_at;
Bulk insert pattern (use COPY or prepared statements)
For large imports, use COPY from a CSV into a staging table, validate, then INSERT ... SELECT into production table.
Always validate and sanitize CSV columns before inserting into production tables.
Bing Web Search API Access Code
Note: There are multiple Bing endpoints (Azure Cognitive Services Bing Search, Bing Web Search API). Below are generic, secure examples using environment variables and parameterized request building. Replace BING_API_KEY and BING_ENDPOINT with your provider values.
Python example using requests
import os
import requests
BING_API_KEY = os.getenv("BING_API_KEY") # set in environment or secret store
BING_ENDPOINT = os.getenv("BING_ENDPOINT") # e.g., "https://api.bing.microsoft.com/v7.0/search"
def bing_search(query: str, count: int = 10):
if not BING_API_KEY or not BING_ENDPOINT:
raise RuntimeError("Bing API credentials not configured")
headers = {
"Ocp-Apim-Subscription-Key": BING_API_KEY,
"Accept": "application/json"
}
params = {
"q": query,
"count": count,
"textDecorations": False,
"textFormat": "Raw"
}
resp = requests.get(BING_ENDPOINT, headers=headers, params=params, timeout=10)
resp.raise_for_status()
return resp.json()
Usage
if name == "main":
result = bing_search("site:gov cybersecurity advisory")
print(result.get("webPages", {}).get("value", [])[:3])
Node.js example using node-fetch
// Install: npm install node-fetch@2
const fetch = require('node-fetch');
const BING_API_KEY = process.env.BING_API_KEY;
const BING_ENDPOINT = process.env.BING_ENDPOINT; // e.g., https://api.bing.microsoft.com/v7.0/search
async function bingSearch(query, count = 10) {
if (!BING_API_KEY || !BING_ENDPOINT) {
throw new Error('Bing API credentials not configured');
}
const url = new URL(BING_ENDPOINT);
url.searchParams.append('q', query);
url.searchParams.append('count', String(count));
const res = await fetch(url.toString(), {
method: 'GET',
headers: {
'Ocp-Apim-Subscription-Key': BING_API_KEY,
'Accept': 'application/json'
},
timeout: 10000
});
if (!res.ok) {
const text = await res.text();
throw new Error(Bing API error: ${res.status} ${text});
}
return res.json();
}
module.exports = { bingSearch };
Important
Do not embed API keys in code or commit them to source control. Use environment variables, secret managers (Azure Key Vault, AWS Secrets Manager, HashiCorp Vault), or GitHub Actions secrets for CI.
Use rate limiting and exponential backoff for retries to avoid throttling.
Security Best Practices
Parameterized queries only: never concatenate user input into SQL strings. Use prepared statements or ORM parameter binding.
Least privilege DB user: create a DB role with only the permissions required (INSERT/SELECT/UPDATE on specific tables).
Encrypt sensitive fields: store evidence URLs and PII encrypted at rest; use application‑level encryption for highly sensitive data.
Audit logging: log who accessed or modified records; store logs in an append‑only store with retention policy.
Secrets management: use a secrets manager; rotate API keys regularly and revoke unused tokens.
Input validation and sanitization: validate lengths, types, and allowed characters before DB insertion.
Network controls: restrict DB access to application IPs and use TLS for DB connections.
Rate limiting and quotas: protect public APIs and search calls to avoid abuse and unexpected costs.
Testing and Deployment Checklist
Local dev: run unit tests that mock Bing responses (use responses or unittest.mock in Python).
Integration: use a staging API key with limited quota and test endpoints before production.
CI: store BING_API_KEY as a secret; run tests that use recorded fixtures instead of live calls.
DB migrations: use a migration tool (Flyway, Alembic, Liquibase) and run migrations in staging first.
Smoke tests: after deploy, run smoke queries and a sample Bing search to verify connectivity and permissions.
Monitoring: track API error rates, DB slow queries, and unusual access patterns.
Next Steps I Can Produce Now
Polished SQL migration script for your exact schema and indexes.
Complete application example (Python Flask or Node Express) that integrates the DB and Bing search with secure config.
CI snippet showing how to store and use BING_API_KEY in GitHub Actions and run tests with mocked API responses.
Audit event ingestion pipeline example (bulk import, validation, and deduplication).
Tell me which of these you want and I will generate the exact code and configuration files ready to drop into your repo.
Test 3rd party
Summary
Below are ready‑to‑use, safe examples you can copy and adapt: (A) SQL schema and parameterized queries for a typical audit/event system, and (B) sample code to call the Bing Web Search API (or Azure Bing endpoint) securely. All API keys are placeholders — never hardcode secrets. I also include security best practices and quick test steps.
SQL Schema and Parameterized Queries
Purpose: store audit events, vendor engagements, and test results for third‑party audits and resilience tests.
-- Schema: audit_events table
CREATE TABLE audit_events (
id BIGSERIAL PRIMARY KEY,
project_name TEXT NOT NULL,
event_type TEXT NOT NULL, -- e.g., "penetration_test", "chaos_run", "finding"
severity TEXT NOT NULL, -- e.g., "low","medium","high","critical"
description TEXT,
evidence_url TEXT, -- link to encrypted artifact
created_by TEXT NOT NULL,
created_at TIMESTAMP WITH TIME ZONE DEFAULT now(),
resolved BOOLEAN DEFAULT FALSE,
resolved_at TIMESTAMP WITH TIME ZONE
);
-- Schema: vendors table
CREATE TABLE vendors (
id BIGSERIAL PRIMARY KEY,
name TEXT NOT NULL,
contact_email TEXT,
certified BOOLEAN DEFAULT FALSE,
notes TEXT,
created_at TIMESTAMP WITH TIME ZONE DEFAULT now()
);
-- Indexes for common queries
CREATE INDEX idx_audit_events_project ON audit_events(project_name);
CREATE INDEX idx_audit_events_severity ON audit_events(severity);
Insert with parameterized query (Postgres example)
-- Use parameterized queries from your application layer (example placeholders $1, $2)
INSERT INTO audit_events (
project_name, event_type, severity, description, evidence_url, created_by
) VALUES ($1, $2, $3, $4, $5, $6)
RETURNING id, created_at;
Select examples (safe, parameterized)
-- Get open high/critical findings for a project
SELECT id, event_type, severity, description, created_at
FROM audit_events
WHERE project_name = $1
AND resolved = FALSE
AND severity IN ('high','critical')
ORDER BY created_at DESC
LIMIT 100;
-- Mark an event resolved (use parameterized update)
UPDATE audit_events
SET resolved = TRUE, resolved_at = now()
WHERE id = $1
RETURNING id, resolved, resolved_at;
Bulk insert pattern (use COPY or prepared statements)
For large imports, use COPY from a CSV into a staging table, validate, then INSERT ... SELECT into production table.
Always validate and sanitize CSV columns before inserting into production tables.
Bing Web Search API Access Code
Note: There are multiple Bing endpoints (Azure Cognitive Services Bing Search, Bing Web Search API). Below are generic, secure examples using environment variables and parameterized request building. Replace BING_API_KEY and BING_ENDPOINT with your provider values.
Python example using requests
import os
import requests
BING_API_KEY = os.getenv("BING_API_KEY") # set in environment or secret store
BING_ENDPOINT = os.getenv("BING_ENDPOINT") # e.g., "https://api.bing.microsoft.com/v7.0/search"
def bing_search(query: str, count: int = 10):
if not BING_API_KEY or not BING_ENDPOINT:
raise RuntimeError("Bing API credentials not configured")
Usage
if name == "main":
result = bing_search("site:gov cybersecurity advisory")
print(result.get("webPages", {}).get("value", [])[:3])
Node.js example using node-fetch
// Install: npm install node-fetch@2
const fetch = require('node-fetch');
const BING_API_KEY = process.env.BING_API_KEY;
const BING_ENDPOINT = process.env.BING_ENDPOINT; // e.g., https://api.bing.microsoft.com/v7.0/search
async function bingSearch(query, count = 10) {
if (!BING_API_KEY || !BING_ENDPOINT) {
throw new Error('Bing API credentials not configured');
}
const url = new URL(BING_ENDPOINT);
url.searchParams.append('q', query);
url.searchParams.append('count', String(count));
const res = await fetch(url.toString(), {
method: 'GET',
headers: {
'Ocp-Apim-Subscription-Key': BING_API_KEY,
'Accept': 'application/json'
},
timeout: 10000
});
if (!res.ok) {
const text = await res.text();
throw new Error(
Bing API error: ${res.status} ${text});}
return res.json();
}
module.exports = { bingSearch };
Important
Do not embed API keys in code or commit them to source control. Use environment variables, secret managers (Azure Key Vault, AWS Secrets Manager, HashiCorp Vault), or GitHub Actions secrets for CI.
Use rate limiting and exponential backoff for retries to avoid throttling.
Security Best Practices
Parameterized queries only: never concatenate user input into SQL strings. Use prepared statements or ORM parameter binding.
Least privilege DB user: create a DB role with only the permissions required (INSERT/SELECT/UPDATE on specific tables).
Encrypt sensitive fields: store evidence URLs and PII encrypted at rest; use application‑level encryption for highly sensitive data.
Audit logging: log who accessed or modified records; store logs in an append‑only store with retention policy.
Secrets management: use a secrets manager; rotate API keys regularly and revoke unused tokens.
Input validation and sanitization: validate lengths, types, and allowed characters before DB insertion.
Network controls: restrict DB access to application IPs and use TLS for DB connections.
Rate limiting and quotas: protect public APIs and search calls to avoid abuse and unexpected costs.
Testing and Deployment Checklist
Local dev: run unit tests that mock Bing responses (use responses or unittest.mock in Python).
Integration: use a staging API key with limited quota and test endpoints before production.
CI: store BING_API_KEY as a secret; run tests that use recorded fixtures instead of live calls.
DB migrations: use a migration tool (Flyway, Alembic, Liquibase) and run migrations in staging first.
Smoke tests: after deploy, run smoke queries and a sample Bing search to verify connectivity and permissions.
Monitoring: track API error rates, DB slow queries, and unusual access patterns.
Next Steps I Can Produce Now
Polished SQL migration script for your exact schema and indexes.
Complete application example (Python Flask or Node Express) that integrates the DB and Bing search with secure config.
CI snippet showing how to store and use BING_API_KEY in GitHub Actions and run tests with mocked API responses.
Audit event ingestion pipeline example (bulk import, validation, and deduplication).
Tell me which of these you want and I will generate the exact code and configuration files ready to drop into your repo.