Replit Agent ships features fast. The same pattern that makes that possible — confident code, idiomatic-looking output, fast iteration — is what hides the risk we read for. We audit Replit Agent codebases line by line, name what's broken, and tell you what to fix first.
Apps generated and hosted inside Replit, with secrets stored in Replit’s env panel and databases provisioned automatically.
API routes set `Access-Control-Allow-Origin: *` together with `Allow-Credentials: true` (or the equivalent). Any third-party site the user visits can issue authenticated requests to the API on their behalf, reading or modifying their data without their knowledge.
package.json uses `^` ranges and the project has no committed lockfile, so two clean installs a week apart pull different transitive trees. A vulnerable patch version of a deep dependency lands on production before anyone reads its changelog.
Promises that throw and routes that crash return the full Node.js stack trace as the HTTP response body. File paths, library versions, environment variable names and database column names all become public — gold for anyone profiling the app for a follow-up exploit.
The repository contains a .env file with database URLs, API keys or third-party secrets that resolve to live, billable services. Even if the repo is private today, anyone who later forks it, clones it for onboarding or browses old commits gets a working set of keys.
Endpoints that mutate data — create, update, delete — accept requests without ever checking for a session, JWT or API token. The UI hides the buttons behind a login screen, so the developer assumes the API is protected. It isn't: anyone with curl and the URL can call it.
Knowing the tool that built the code lets us focus the audit. We start by detecting the Replit Agent signature in the codebase, then we read the surfaces where Replit Agent-specific failure modes cluster: auth, secrets, data access, dependencies and LLM-touching paths. Five to ten business days from kickoff to written report. No deployment access required — read-only repository access is enough.
Severity-ordered findings with file paths, line references, why it matters and a fix sketch. Readable by both engineering and non-technical stakeholders.
15-minute recording of the report — for the cofounder, investor or director who didn't make the live call.
Live discussion of severity, fix order and the calls that need a human in the loop.
Slack or email for clarifications, fix reviews and a second pair of eyes on the patches.
Typical SMB AI-built codebase, kickoff to written report. Larger or multi-repo audits scoped separately.
Sometimes. Forks carry the secrets template and occasionally the original developer's leftover tokens. We check git history and the env panel for anything that should have been rotated and wasn't.
Yes. Replit's hosting handles infrastructure but not application security. RLS, route guards, secrets hygiene and prompt-injection surfaces are still your responsibility — and where the audit findings cluster.
It does. The dev/prod boundary is blurred — debug routes, console-log diagnostics and ‘temporary’ scripts often stay enabled because nothing forces them off. We scan for those.
Next.js, Python and full-stack apps with Tailwind, shipped at high velocity by individual developers.
Read more →Terminal-driven, multi-file changes across a codebase — often touching infra, tests and product code in a single agent loop.
Read more →Inline completions across enterprise codebases, mixed with hand-written code from many authors over years.
Read more →We design for privacy from the start, human control, traceability, usage limits, permissioning and documentation. For sensitive processes, we help assess risk and applicable obligations under GDPR and the EU AI Act.
Every engagement is led personally by one of the partners. If there's a fit, you get a personal first read of your case within one business day — not a canned demo.
