What vulnerabilities are found in Fly.io apps?
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Short Answer
Fly.io app scans surface the same cluster of vulnerabilities repeatedly: secrets synchronization across regions, edge deployment security, private networking configuration. The pattern is stable across Fly.io versions.
Detailed Answer
The vulnerabilities actually found in Fly.io apps
Not theoretical OWASP categories — specifically what appears when VAS, security researchers, and bug bounty hunters look at live Fly.io deployments:
- **[HIGH]** **Secrets synchronization across regions** *(high likelihood)*
A common failure mode in Fly.io applications: secrets synchronization across regions. Left unchecked, this can lead to data exposure, unauthorized access, or service abuse.
*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.
2. **[MEDIUM]** **Edge deployment security** *(medium likelihood)*
A common failure mode in Fly.io applications: edge deployment security. 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.
3. **[MEDIUM]** **Private networking configuration** *(medium likelihood)*
A common failure mode in Fly.io applications: private networking configuration. 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.
4. **[MEDIUM]** **Volume and persistence security** *(medium likelihood)*
A common failure mode in Fly.io applications: volume and persistence security. 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.
Distribution by severity
Of the findings above, 0 sit at critical impact (full data exposure), 1 at high (significant data or account compromise), and the rest are medium-or-lower (attack surface expansion). A first-scan Fly.io app typically has 2–4 findings from this list live at any moment.
How to know which ones are in your app
Run a VAS scan. Each finding above is tested directly — we query your database to verify access controls are active, scan bundles for key patterns, probe auth endpoints for rate limiting, and check security headers in live responses. Output is a per-finding report with evidence and fix.
Security Research & Statistics
of Lovable applications (170 out of 1,645) had exposed user data in the CVE-2025-48757 incident
Source: CVE-2025-48757 security advisory
average cost of a data breach in 2023
Source: IBM Cost of a Data Breach Report 2023
developers using vibe coding platforms like Lovable, Bolt, and Replit
Source: Combined platform statistics 2024-2025
Expert Perspectives
“There's a new kind of coding I call 'vibe coding', where you fully give in to the vibes, embrace exponentials, and forget that the code even exists.”
“Vibe coding your way to a production codebase is clearly risky. Most of the work we do as software engineers involves evolving existing systems, where the quality and understandability of the underlying code is crucial.”
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Get Starter ScanMore Questions About This Topic
How severe are the vulnerabilities typically found in Fly.io apps?
Fly.io apps lean critical: Secrets synchronization across regions alone can expose the full user dataset in one query. Compare to e.g. missing security headers (medium) which require additional exploitation. Triage accordingly: critical findings are measured in minutes-to-breach, mediums in weeks.
How do I fix vulnerabilities once they're found in my Fly.io app?
Each finding comes with a specific fix. Example: for "Secrets synchronization across regions" → Move all secrets server-side (environment variables, serverless functions). Rotate any keys previously in frontend code. Audit bundles for leftover credentials before each deploy. VAS exports these as markdown you can feed directly into Fly.io's AI (or any other AI assistant) to apply the fix in-place. Re-scan afterward to confirm.
Can vulnerabilities in Fly.io apps be exploited by a non-expert attacker?
Most can. Extracting an exposed API key is a single "view source" operation. Querying a table without RLS is a `curl` command. Exploiting missing rate limiting requires scripting skills equivalent to "follow a tutorial." Only a handful of the findings above (e.g., chained auth bypass) require specialist knowledge — the rest are routinely exploited by automated scanners with zero human involvement.
Explore Related Resources
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Every angle of Fly.io security — from the specific findings we detect to step-by-step fixes.
Fly.io Security Scanner
Hub page: scan your Fly.io app for vulnerabilities.
Fly.io Security Risks
Specific risks we find in Fly.io apps, with real-world examples.
Fly.io Security Issues
Issues grouped by severity with detection and fix steps.
Fly.io Best Practices
Remediation playbook derived from Fly.io's actual failure modes.
Is Fly.io Safe?
Honest assessment of Fly.io's production readiness.
Fly.io Security Checklist
Pre-launch checklist covering every finding class for Fly.io.
How to Secure Fly.io Apps
Step-by-step hardening guide for Fly.io deployments.
Can Fly.io Apps Be Hacked?
Attack vectors specific to Fly.io and how they get exploited.