Injection
Review injection patterns including concatenated SQL, unsafe template strings, eval on model output, deserialization and command execution.
- SQL · NoSQL
- Command
- XSS variants
- Deserialization
- Template / SSTI
- Path traversal
Bryxe Shield helps you find exposed secrets, risky code patterns and vulnerable dependencies in AI-generated code. Review your Next.js, Supabase and Stripe integrations, prioritize findings, and verify the fixes before you ship.
From uncertainty to a clear next step
Choose the risk you need to understand. Get a practical checklist, know what to test, and move from a finding to a verified fix.
AI-generated code
A repeatable review of the code your assistant writes.
Open the field guideSupabase & databases
Evidence that database access follows your tenant model.
Open the field guideNext.js applications
A release review focused on the application's real entry points.
Open the field guideSaaS launch readiness
A prioritized launch review with an owner and evidence for each fix.
Open the field guideSecrets & API keys
A clear distinction between public configuration and privileged credentials.
Open the field guideDependencies & supply chain
A dependency review that separates identity, advisories and application impact.
Open the field guideConcrete patterns Bryxe detects and the minimal patch it generates. Every fix is a real diff you can preview before applying.
app.post('/login', async (req, res) => {
const { email, password } = req.body;
const user = await db.query(
`SELECT * FROM users
WHERE email = '${email}'
AND password = '${password}'`
);
});app.post('/login', async (req, res) => {
const { email, password } = req.body;
const user = await db.query(
'SELECT * FROM users WHERE email = $1',
[email]
);
const valid = await bcrypt.compare(
password, user.password_hash
);
});User input interpolated into a SQL template literal. Bryxe detects the pattern and rewrites the query with parameter binding plus bcrypt password compare.
Try a code snippet to explore supported security checks in your browser. This preview uses static rules. Use a repository scan for broader context, then review and test the findings in your application.
Paste code or load example
to start scanning
Bryxe integrates directly into your workflow to catch slopsquatting, hallucinated dependencies, and missing auth checks before they even reach your git history.
Explore the security patterns Bryxe helps you investigate. Coverage depends on the language, code context and enabled analysis. Use findings to guide review and application tests.
Review injection patterns including concatenated SQL, unsafe template strings, eval on model output, deserialization and command execution.
Check for missing authorization: auth on GET but not PATCH, missing ownership predicates and role checks in the wrong layer.
Live API keys committed to repos, NEXT_PUBLIC_ leaks, service_role in client bundles, weak/default JWT secrets ('supersecretkey').
Emerging class — prompt injection via user input, missing max_tokens (LLMjacking), API key in browser, agent tools wrapping exec/eval.
fetch/axios/got/ky/needle/superagent with user-controlled URLs, file:// / gopher:// smuggling, cloud-metadata IPs, DNS rebinding, stored webhook URLs.
Review common integration risks in code built with Cursor, v0, Lovable and other assistants, from database access to payment webhooks.
Bring code review, exposed-secret checks and compliance readiness into your release workflow. Understand what was checked, prioritize the findings, and keep evidence of the fixes.
Review supported source files for exposed credentials, injection patterns, risky Server Actions, Supabase access-control mistakes and Stripe webhook issues. Investigate findings in the context of your application.
Trace supported JavaScript and TypeScript input-to-sink paths with AST analysis. AI review adds context for selected files when enabled by your plan and scan configuration. Validate each finding before applying a fix.
Use the dependency checker to look up supported npm package versions against OSV advisories and flag package names for manual review. Verify resolved versions in your lockfile; a clean result does not prove a package is safe.
Map supported technical findings to readiness work across GDPR, NIS2, the EU AI Act and other frameworks. Use the results alongside organizational controls, legal review and your auditor's requirements.
Generate suggested patches for supported findings. Review the diff, test the change and use the GitHub workflow where configured. Re-scan to check the result before merging.
Add custom detection rules for patterns specific to your application. External scanner integrations require separate configuration; check which engines ran when interpreting a report.
Share scan findings, reports and badges with the people reviewing your release. Scores describe the checks performed; they are not security certification or proof of compliance.
Four steps from a security question to a reviewed fix. Scan time depends on project size and the analysis enabled.
Drop a .zip, paste a GitHub URL (public or private), or scan a live URL. 20+ languages supported: JS/TS, Python, Go, Rust, Java, C/C++, PHP, Ruby, .NET, Swift, Kotlin, Shell, plus IaC.
Run supported code and secret checks. Review the scan scope to see which analysis layers ran, including AST analysis and AI review when enabled.
Review findings and apply suggested fixes. Preview diffs, apply one-by-one or batch-fix all critical issues into a GitHub PR.
Test the changes, re-scan and share the findings with your team. Use technical evidence to support a broader security and compliance review.
Built for code shipped from
One-time scans for one-time problems. Monthly subscription only if you want continuous monitoring and alerts.
Built an MVP with Cursor? Check if it's safe.
Full AST analysis before you hit 'Deploy'.
Cursor broke it. Our AI fixes it.
Your MVP just got a B2B client. Need SOC2?
Continuous protection on every git push.
For teams of 10+ developers.
All one-time purchases include 30-day money-back guarantee. Subscriptions cancel anytime.
Questions before you ship
What Bryxe checks, where manual review matters, and how to turn findings into fixes.
Bryxe Shield is a security scanner for AI-generated code and modern SaaS projects. It checks supported source files for risky patterns and exposed secrets, checks supported dependencies for known vulnerabilities, and helps developers prioritize findings. It is built for teams working with tools such as Cursor, Claude Code, ChatGPT, Lovable and GitHub Copilot.
Scan the code, review high-impact findings, and test the application with separate user accounts. Check authorization on server endpoints, database access policies, secret handling, payment verification and dependencies. Then test fixes and repeat the scan. A clean scan is useful evidence, but cannot prove that an application is secure.
Yes. Bryxe analyzes the code you provide, regardless of which assistant helped write it. Supported checks include patterns used in Next.js, Supabase and Stripe projects. Coverage depends on the language, file type and scan mode; a repository scan can inspect more context than a pasted snippet.
A code scan examines supplied source files and supported dependency manifests. A live website scan examines the publicly accessible response and assets it can retrieve. It cannot see private backend code or establish whether your live database policies are correct. Use source review and runtime testing together.
Bryxe includes checks for risky Supabase and Stripe code patterns, including exposed privileged keys and missing webhook verification patterns. Source findings are a starting point: test RLS using actual database roles and verify webhook signatures and duplicate-event handling in a test environment.
No. Mapping technical findings to GDPR, NIS2, the EU AI Act, DORA, PCI DSS, SOC 2 or ISO 27001 can support readiness work. These regulations, standards and assurance frameworks have different scopes. Code scanning does not establish legal compliance, replace an audit, or issue a certification.
Choose the scan input appropriate for your project: the public tools accept selected snippets or manifests, while the application supports repository and ZIP workflows. Review the Security and Privacy pages before supplying proprietary code. Replace live credentials with placeholders in examples; detection of a leaked credential should be followed by rotation with its provider.
First contain exposed credentials and reachable authorization or payment flaws. Confirm each finding in context, assign an owner, make the smallest safe fix and add a regression check. Re-scan the changed code and retain the result alongside the tested commit. A severity score helps triage; exposure and business impact determine urgency.
No. Automated checks are repeatable and useful during development, but can miss business-logic issues, production configuration and attacks that require runtime context. Use them alongside code review, authorization tests and a risk-appropriate independent security assessment.
Yes. Start with the free scan or a focused tool for AI code, dependency checks or environment-variable exposure. Scan limits and additional capabilities depend on the current plan. The pricing section lists the available options before you choose a paid audit.
Explore the security guides, read our data handling details, or contact Bryxe.
First scan is free. ZIP, GitHub URL, or paste a snippet. See exactly what your AI shipped — and how to fix it.
Source code processed in memory · deleted after the scan completes.