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Secure YourAI-Generated Code

Professional security scanning for modern development teams. Get comprehensive vulnerability reports with actionable fixes in under 30 seconds.

REAL-TIME SECURITY PULSE
app.js
config.py
auth.ts
1
2const apiKey =
3 "sk_live_51H8..."
4
5app.post('/login', (req, res) => {
6 if (req.user) {
7 res.redirect('/dashboard');
8 } else {
9 res.send('Welcome');
10 }
11});
RISK DETECTED
Critical issues found
TRUSTED BY TEAMS USING
Lovable
bBolt
Cursor
AntigravityAntigravity
Replit
The Challenge

AI Development Creates
Hidden Security Risks

While AI tools accelerate development, they often generate code with predictable security vulnerabilities that attackers actively exploit.

Predictable AI Patterns
Popular AI coding tools generate code with the same security blind spots. Attackers scan GitHub repositories for these patterns within minutes of deployment.
Accidental Exposure
API keys, database credentials, and sensitive tokens frequently end up in code during rapid development cycles. A single exposed key can compromise entire systems.
Complex Security Tools
Traditional security scanners like Snyk and SonarQube require deep technical expertise to configure and interpret. Founders need simple, actionable insights.
Under the Hood

Six Specialist Agents.
One Unified Report.

Each agent is a senior security specialist focused on a single attack surface — running in parallel to deliver deep, production-grade analysis in seconds.

Task 1
Knowledge Graph Builder
Maps your entire codebase into a dependency graph — understanding how data flows from request to database, auth checks to response handlers.
Detects taint propagation paths
Maps data flow across modules
Identifies trust boundary violations
Tracks third-party surface area
Task 2
Intelligent File Routing
Categorises every file by risk profile and routes it to the right specialist agent — ensuring no sensitive surface is ever skipped.
Prioritises high-risk entry points
Routes auth files to auth specialist
Identifies hidden config exposure
Skips binary / non-code assets
Task 3
Secret & Key Detection
Scans every file for hardcoded credentials, exposed API keys, and leaked tokens — including inside build artifacts and config files.
AWS / GCP / Azure key exposure
Supabase anon keys in frontend
Hardcoded DB connection strings
Private keys committed to git
Task 4
Auth & Access Control Scan
Audits every authentication and authorization layer — from JWT validation to RLS policies to middleware chains — for exploitable logic flaws.
Missing Row-Level Security policies
Broken object-level authorisation
JWT algorithm confusion attacks
Auth bypass via parameter pollution
Task 5
Injection & Attack Surface
Probes every input pathway for injection vulnerabilities — SQL, XSS, SSRF, command injection, and AI-specific prompt injection vectors.
SQL injection via unsanitised inputs
Stored XSS in user-generated content
SSRF through open redirect chains
Prompt injection in AI integrations
Task 6
Supply Chain & Dependencies
Cross-references every npm, pip, and composer dependency against known CVE databases and flags transitive vulnerabilities in your dependency tree.
Known CVEs in direct dependencies
Typosquatted package detection
Outdated packages with exploits
Malicious transitive dependencies
codesafe — agent pipeline — running 6 workers
[00:00.000]System.Connect: Pipeline initialised — TLS 1.3 handshake complete
[00:00.142]Analyzer ── Building knowledge graph across 247 source files
[00:02.811]Filtering ── Routing files to specialist workers by risk profile
[00:05.024]Security ── WARNING: Supabase anon key exposed in /src/lib/client.ts:14
[00:05.893]Backend ── WARNING: Missing RLS policy on `user_payments` table
[00:09.310]Injection ── WARNING: SQL injection risk in /api/search/route.ts:88
[00:24.100]Reporter ── Aggregating findings — generating plain English report
[00:26.441]✓ Scan complete — 3 critical, 5 high, 8 medium issues found. Report ready.
How It Works

Professional Security
Analysis in 3 Steps

1
Upload Your Codebase
Drag and drop your entire project folder or connect your GitHub repository. Our scanner reads every file type including JavaScript, Python, PHP, configuration files, and environment variables.
2
Specialist Security Scan
Our engine performs a deep, multi-layered audit of your entire codebase, tracing data flows and identifying complex logic flaws with professional-grade precision.
3
Actionable Report
Receive a comprehensive security report with prioritized vulnerabilities, business impact assessment, and ready-to-implement code fixes with step-by-step remediation guidance.
Why Choose CodeSafe

Enterprise-Grade Security
Made Simple

Clear Security Score
Get an instant security score from 0-100 with clear deployment recommendations. No ambiguity about your application's security posture.
Industry Standard
Interactive Report Chat
Ask questions about your vulnerabilities in plain English. Get detailed explanations, business impact assessments, and deployment guidance.
AI-Powered
Automated Code Fixes
Every vulnerability includes production-ready code fixes. Copy and paste corrected implementations with confidence.
Ready to Deploy
Business Context Aware
Security severity calibrated to your business type. Fintech vulnerabilities weighted differently than content platforms.
Smart Analysis
Progress Tracking
Re-scan after fixes to track improvement. See exactly which vulnerabilities were resolved and monitor security trends.
Insights
Deep Logic Tracing
Our AI traces data flows across your entire application architecture to identify complex business logic flaws and indirect permission leaks.
Advanced Search
Security Coverage

We scan for 48+
security vulnerabilities

From modern AI prompt injection to classic database exploits — we've got you covered.

🔴 P0 Critical
  • Supply Chain AttacksDetect "ghost" or hijacked packages and insecure CI/CD triggers.
  • Insecure DeserializationDetect unsafe pickle/unmarshal calls that allow remote code execution.
  • SSRF AttacksIdentify user-provided URLs targeting internal VPCs or AWS metadata.
  • Supabase RLSVerify Row Level Security is active on every database table.
  • Auth MiddlewareFind API routes or pages missing essential login requirements.
🟣 P1 High Risk
  • AI Prompt InjectionFind unsanitized input in prompts that could override instructions.
  • Mass Assignment (BOLA)Detect direct DB updates that allow field-level privilege escalation.
  • SQL & XSS InjectionStandard-issue protection for common database and browser attacks.
  • IDOR OwnershipCheck if users can access objects they don't own by manipulating IDs.
  • Session SecurityVerify Secure/HttpOnly cookies and proper JWT rotation.
🔵 P2 Medium Risk
  • Schema ExposurePrevent internal DB table names from leaking in error messages.
  • Weak RandomnessFlag Math.random() usage for sensitive tasks like token generation.
  • Race Conditions (TOCTOU)Detect logic flaws in financial or inventory steps.
  • Permissive CORSIdentify wildcard origins that expose your API to untrusted sites.
  • Incident Logging GapsVerify that failed login and admin actions are correctly logged.
Pricing

Start your trial.
Scale when you grow.

Scale when you grow. Cancel anytime.

Starter
$3Per Scan

Catch the biggest launch-blockers before going live.

50
Checks
1
Scans
50 MB
Code Limit
56% coverage
  • Secrets & SQL injection
  • XSS, CORS, RLS, auth
Plus
$27

Every check including advanced infra & AI-era attacks.

90
Checks
10
Scans
5 GB
Code Limit
100% coverage
  • Pickle RCE, SSTI, ReDoS, Firebase rules
  • IaC privileges, PII encryption
  • 5 team seats + Slack support

All plans include: AI-powered analysis · GitHub scanning · PDF export · Vibe check grid

FAQ

Questions answered.

No. Your code never leaves your browser. CodeSafe reads files locally and sends only the text content directly to the AI API for analysis. Nothing is stored on any server. The API call is stateless — once the scan is done, nothing persists.
CodeSafe supports 30+ file types including JavaScript, TypeScript, React, Next.js, PHP, Python, Ruby, Go, SQL, YAML, .env files, Prisma schemas, and more. It automatically skips node_modules, .git, and build folders to focus on your actual code.
CodeSafe uses AI which reads and reasons about your code rather than matching patterns. This means it catches real logic flaws and business risks that rule-based tools miss, with fewer false positives. That said, always review the suggestions — no automated tool is perfect.
That's exactly who CodeSafe is built for. Every vulnerability is explained with a real-world analogy (no CVE numbers, no CVSS scores). The "how to fix it" section gives you numbered steps in plain English, plus the corrected code snippet you can hand to your developer or paste directly.

Ready to Ship
Secure Code?

Professional security analysis for modern development teams. Start your free scan today.

Security Scan for
Vibe Coders

Deep-scan your project folder or repository to generate a comprehensive, actionable security intelligence report on critical vulnerabilities.

Drop your project folder here
or click to browse · entire folder, any stack
ReactNext.jsNodePHPPythonSupabase
⚠️
Wrong scan type selected
These look like web files, but you selected Mobile App.
Ask about your report
Plain English answers — no jargon