Tabnine Security Scanner
Using Tabnine for code completion? Ensure your AI-assisted code is secure.
Enter your deployed app's URL. Review the findings, take the suggested fixes to your coding tool, and retest after making changes.
First scan free: issue counts and one finding revealed in detail. No card required.
Tabnine Security Considerations
Tabnine makes development fast, but AI-generated code often skips security best practices:
- !AI completions may include vulnerable patterns
- !Local vs cloud model privacy differences
- !Suggested code needs security review
- !Auto-completed credentials risk
Where Security Breaks in Tabnine Apps
Built on Supabase (Postgres + RLS), Tabnine applications share a recognizable fingerprint, which means attackers and automated scanners find them the same way every time. Based on real vulnerability patterns in Tabnine deployments, the breakdown is 0 critical-impact issues, 1 high-impact, and 3 medium-or-lower.
AI completions may include vulnerable patterns
A common failure mode in Tabnine applications: ai completions may include vulnerable patterns. Left unchecked, this can lead to data exposure, unauthorized access, or service abuse.
Fix: Scan your deployed application with a security tool that understands this stack. Address the specific findings — generic best practices don't catch platform-specific misconfigurations.
Local vs cloud model privacy differences
A common failure mode in Tabnine applications: local vs cloud model privacy differences. Left unchecked, this can lead to data exposure, unauthorized access, or service abuse.
Fix: Review vendor data processing agreements. Enable privacy/zero-data-retention modes where available. Use `.gitignore`/`.cursorignore` equivalents to keep sensitive files out of AI context.
Suggested code needs security review
A common failure mode in Tabnine applications: suggested code needs security review. Left unchecked, this can lead to data exposure, unauthorized access, or service abuse.
Fix: Scan your deployed application with a security tool that understands this stack. Address the specific findings — generic best practices don't catch platform-specific misconfigurations.
Auto
completed credentials risk
Fix: Move all secrets server-side (environment variables, serverless functions). Rotate any keys previously in frontend code. Audit bundles for leftover credentials before each deploy.
What We Check
Credential Scan
Find hardcoded secrets in code.
Pattern Analysis
Check for insecure code patterns.
Security Config
Review security configurations.
Headers Check
Verify HTTP security headers.
What You'll Get
Why Tabnine Apps Need Security Scanning
Tabnine offers AI code completion with options for local and cloud-based models. Understanding the security implications of each mode helps you make informed decisions.
Regardless of which mode you use, the generated code should be reviewed for security issues before deployment.
How Tabnine Security Scanning Works
Submit Your URL
Enter your Tabnine application URL. Our scanner automatically detects your tech stack and configures the appropriate security checks for Tabnine.
Automated Analysis
We check the reachable app for exposed secrets, browser protections, authentication issues and database access problems. A standard scan typically takes a few minutes; blocked requests or incomplete coverage are reported.
Get Actionable Results
Receive a detailed report with prioritized vulnerabilities, severity ratings, and step-by-step remediation guidance with code examples specific to Tabnine.
Common Questions About Tabnine Security
What does a VAS scan of a Tabnine app check?
VAS checks the deployed pages, scripts and endpoints it can reach for issues including credential scan, pattern analysis, security config, headers check. The report records findings and coverage limits; it does not certify the whole app as secure.
What will I receive in the report?
Findings include severity, supporting evidence and remediation guidance. Your first scan is free, with issue counts and one finding revealed in detail. Paid report access unlocks every finding. Use Export for AI to bring available findings into your coding tool, review the proposed changes and retest.
Can a scan verify every permission and private workflow?
No. Coverage depends on reachable pages, discovered endpoints and enabled checks. Configure a test login for supported authenticated checks. Review source code and business-specific permissions separately. Zero findings does not prove an app is secure.
Does VAS change my code or database policies?
VAS provides recommendations, not automatic fixes. Adapt any suggested policy or code change to your data model, test that permitted users still have access and that other users do not, then rescan. Read checks alone cannot confirm insert, update or delete permissions.
What should I know before scanning a production app?
Only scan apps you own or have permission to test. Scan requests can trigger firewall rules, logs and rate limits. Review enabled checks, and use staging or dedicated test accounts for sensitive workflows. Active tests, where enabled, need separate care because they can make changes.
Remediation Playbook for Tabnine
Priority-ordered fixes for the specific findings we see in Tabnine apps. Critical items close data-exposure gaps; high items prevent compromise; medium items reduce attack surface. Applies to apps using Supabase (Postgres + RLS), the dominant Tabnine stack.
1. AI completions may include vulnerable patterns
Why it matters: A common failure mode in Tabnine applications: ai completions may include vulnerable patterns. Left unchecked, this can lead to data exposure, unauthorized access, or service abuse.
How to close it: Scan your deployed application with a security tool that understands this stack. Address the specific findings — generic best practices don't catch platform-specific misconfigurations.
2. Local vs cloud model privacy differences
Why it matters: A common failure mode in Tabnine applications: local vs cloud model privacy differences. Left unchecked, this can lead to data exposure, unauthorized access, or service abuse.
How to close it: Review vendor data processing agreements. Enable privacy/zero-data-retention modes where available. Use `.gitignore`/`.cursorignore` equivalents to keep sensitive files out of AI context.
3. Suggested code needs security review
Why it matters: A common failure mode in Tabnine applications: suggested code needs security review. Left unchecked, this can lead to data exposure, unauthorized access, or service abuse.
How to close it: Scan your deployed application with a security tool that understands this stack. Address the specific findings — generic best practices don't catch platform-specific misconfigurations.
4. Auto
Why it matters: completed credentials risk
How to close it: Move all secrets server-side (environment variables, serverless functions). Rotate any keys previously in frontend code. Audit bundles for leftover credentials before each deploy.
Verify the fixes stuck
Rescan after deploying a fix to check whether the original finding still appears. Compare the evidence and coverage with the previous report. For permissions and private workflows, also repeat the relevant tests with authorized and unauthorized test users.
Check your Tabnine app
Find observable security issues in your deployed app, review the evidence and take the next steps with your coding tool.
Start with a free scan. See issue counts and one finding in detail, then decide whether you need full report access.
More on Tabnine Security
Every angle of Tabnine security, from the specific findings we detect to step-by-step fixes.
Tabnine Security Risks
Specific risks we find in Tabnine apps, with real-world examples.
Tabnine Security Issues
Issues grouped by severity with detection and fix steps.
Is Tabnine Safe?
Honest assessment of Tabnine's production readiness.
Tabnine Security Checklist
Pre-launch checklist covering every finding class for Tabnine.
Tabnine with your database
The security gaps we find depend on which database sits behind Tabnine.