Security vulnerabilities are easier and less expensive to fix during development than after deployment. This CloudRevol checklist covers twenty practical controls developers should review across input validation, authentication, authorization, APIs, data protection, integrations and software supply-chain security.
A firewall or security scanner cannot compensate for authorization mistakes, exposed secrets, unsafe query construction or insecure session handling inside application code. The strongest approach is layered: design securely, write defensive code, test the controls, deploy with safe defaults and continue monitoring after release.
Modern applications depend on APIs, databases, identity systems, third-party integrations and rapidly changing dependencies. Every layer introduces trust decisions. A repeatable checklist helps teams review those decisions consistently instead of relying on memory.
Prevent weaknesses during design and implementation instead of depending only on production defenses.
Give developers and reviewers a shared baseline for pull requests, release gates and security testing.
Remove unnecessary trust, insecure defaults and overly broad permissions before attackers can abuse them.
Combine secure implementation with automated testing, dependency scanning and production monitoring.
Use this as a development review, pull-request checklist or pre-release security gate.
Treat all client-controlled input as untrusted. Validate it early, encode output correctly, and keep dangerous input away from interpreters, filesystems and internal network resources.
Use parameterized queries, prepared statements or safe ORM query builders instead of concatenating untrusted input into SQL.
Never concatenate request parameters directly into SELECT, UPDATE, INSERT or DELETE statements.
Encode output for the correct context and sanitize user-controlled HTML when rich content must be accepted.
Do not inject raw user-controlled strings into HTML, script, style or URL contexts.
Protect state-changing browser requests when authentication relies on cookies or other automatically attached credentials.
Do not assume POST requests are automatically protected from cross-site request forgery.
Treat uploads as hostile until proven safe. Validate type, size, content and storage location before making a file available.
Do not trust the filename extension or browser-provided content type by itself.
A secure UI is not a security boundary. Every sensitive object, route and operation must be authorized server-side, with abuse controls around expensive or sensitive actions.
Restrict server-side requests so attackers cannot make your application access internal services, metadata endpoints or unintended destinations.
Do not fetch arbitrary user-supplied URLs from privileged server networks without controls.
Verify that the authenticated user is allowed to access the specific record or object requested, not just the endpoint.
Never trust an object ID from the client without checking ownership or permission.
Control request volume on authentication, API, search, webhook and resource-intensive endpoints to reduce brute force and abuse.
Do not rely on a single global limit for every endpoint and user type.
Passwords should be processed with a purpose-built, adaptive password hashing algorithm rather than general-purpose hashes.
Never store plaintext passwords or hash them with fast algorithms such as MD5 or plain SHA-256.
Authentication proves who a user is; authorization decides what that user can do. Keep both controls server-side and add stronger verification around privileged access.
Require an additional factor for administrators, privileged accounts and high-risk actions.
Do not treat SMS as your strongest available factor when phishing-resistant options are practical.
Every protected operation must validate the current user's role, scope and resource permissions on the server.
Hiding a button, route or menu item in the frontend does not enforce authorization.
For databases that support RLS, database policies can provide an additional boundary that restricts which rows a session can access.
Do not assume RLS replaces authentication, API authorization or secure database credentials.
Treat JWTs as credentials. Validate signature, issuer, audience, expiry and expected algorithm on every trusted boundary.
Never accept unsigned tokens or dynamically trust the algorithm supplied by an untrusted token.
Many production breaches are caused by configuration mistakes rather than sophisticated code exploits. Keep credentials private, restrict browser trust, and remove insecure defaults.
Private API keys, database credentials and signing secrets belong in protected server-side configuration or a secrets manager.
Never embed private credentials in frontend JavaScript, mobile bundles or public repositories.
Anything in localStorage can be read by JavaScript running in the page, so an XSS flaw can expose stored bearer tokens.
Do not keep long-lived high-value bearer tokens in localStorage by default.
Default usernames, passwords, API keys and example accounts are easy targets during automated scanning.
Never ship known default credentials into production environments.
Cross-Origin Resource Sharing should explicitly define which browser origins, methods and headers may access your API.
Do not combine wildcard origins with sensitive credentialed APIs.
Webhooks, build artifacts, logs and third-party packages are part of your attack surface. Treat the delivery pipeline and operational environment as security-sensitive components.
Confirm that incoming webhook requests were created by the expected provider and were not modified in transit.
Do not trust a webhook solely because it reaches a secret URL.
Source maps can reveal application structure, original source names and implementation details that make reconnaissance easier.
Do not unintentionally publish source maps with every production deployment.
Logs are frequently copied, indexed and retained. Sensitive data written to logs can become a second data exposure.
Never log plaintext passwords, private keys, session secrets or full access tokens.
Your application inherits risk from frameworks, libraries, container images and transitive packages.
Do not leave abandoned or unsupported dependencies in production indefinitely.
The exact implementation depends on your language and framework, but the security principle should remain the same.
// Example using a parameterized PostgreSQL query
const result = await db.query(
"SELECT id, email FROM users WHERE email = $1",
[email]
);The user value is bound separately from the SQL statement instead of becoming executable query syntax.
// Always scope the lookup to the authenticated user/tenant
const project = await db.project.findFirst({
where: {
id: projectId,
tenantId: session.tenantId
}
});
if (!project) {
return new Response("Not Found", { status: 404 });
}// Server-side only
const apiKey = process.env.PAYMENT_API_SECRET;
if (!apiKey) {
throw new Error("Missing server-side secret");
}// Pseudocode — use your provider's official SDK when available
const valid = verifyWebhookSignature({
payload: rawBody,
signature: request.headers.get("x-signature"),
secret: process.env.WEBHOOK_SECRET
});
if (!valid) {
return new Response("Invalid signature", { status: 401 });
}Secure coding is strongest when it is connected to planning, testing, deployment and monitoring. Threat modeling informs the design, automated checks catch regressions, and production visibility helps teams respond when assumptions change.
Before production deployment, confirm that the controls are actually working—not just present in code.
Development, infrastructure and security teams need a shared view of risk. Code review, dependency scanning, access control, monitoring and incident response work best when they are part of the same engineering process.
A checklist gives teams a baseline. Automation, code review and continuous monitoring turn that baseline into an operational security practice.
CloudRevol helps teams combine managed infrastructure, DevOps automation, security hardening, monitoring, backups and DevSecOps practices so application security continues beyond the source code.
A secure coding checklist is a repeatable set of application security controls developers review while designing, building, testing and deploying software. It helps teams catch common weaknesses before they become production incidents.
No. Security works best when it is built into planning, coding, code review, automated testing, deployment and production monitoring rather than being treated as one final pre-release test.
SQL injection targets database queries by influencing how SQL is interpreted. Cross-site scripting targets browser rendering by causing untrusted content to execute as script or unsafe markup.
Broken Object Level Authorization occurs when an application exposes an object identifier but fails to verify that the current user is authorized to access that specific object.
No. RLS can be a valuable database-level control, but applications still need authentication, API authorization, secure credentials, validation and other security protections.
Long-lived sensitive bearer tokens in localStorage increase exposure to XSS because page JavaScript can read them. Browser session designs often benefit from HttpOnly Secure cookies or other short-lived token patterns depending on the application architecture.
Source maps can reveal original source structure and implementation details. Teams often keep them private and upload them directly to trusted error-monitoring systems rather than exposing them publicly.
CloudRevol combines managed infrastructure, DevOps, DevSecOps, monitoring, server security, patching, backups and engineering support to help teams operate applications with stronger security controls.
Use this checklist during development, code review and release planning. Security is not one feature to finish—it is a set of engineering decisions that should be verified continuously.