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nginx-ui

Verified Safe

by 0xJacky

Overview

A web-based UI for managing Nginx configurations, monitoring logs, automating SSL certificate issuance via ACME, and providing AI-powered assistance for Nginx-related tasks and terminal commands.

Installation

Run Command
docker-compose -f docker-compose-demo.yml up -d

Environment Variables

  • OPENAI_API_KEY
  • NGINX_CONF_PATH
  • LOG_DIR_WHITE_LIST
  • DB_DSN
  • CRYPTO_AES_KEY
  • WEBAUTHN_RP_ID
  • CASDOOR_CLIENT_SECRET
  • OIDC_CLIENT_SECRET
  • NODE_TOKEN

Security Notes

The project implements robust authentication mechanisms including WebAuthn, TOTP, external OAuth integrations, and brute-force protection for login, which is commendable. API endpoints are generally well-validated, and critical file access paths (e.g., Nginx logs) utilize whitelisting (`LogDirWhiteList`) to prevent path traversal. Encrypted parameters for login requests enhance credential security in transit. However, there are notable areas for improvement: The backup/restore functionality transmits the AES encryption key and IV directly in HTTP headers or form data, which means an attacker intercepting the transaction could decrypt the backup. A more secure approach would involve a user-provided passphrase for key derivation. Additionally, the integration with external LLMs (like OpenAI) for configuration assistance and code completion poses inherent data leakage risks, as sensitive Nginx configurations or system information could be sent to third-party services. Users must be aware of and configure these integrations carefully. Finally, as an Nginx management tool, ensuring proper least-privilege execution and hardening permissions in the deployment environment is critical to mitigate potential privilege escalation vulnerabilities, although the Go code itself attempts to constrain file operations to defined paths.

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Stats

Interest Score100
Security Score7
Cost ClassHigh
Avg Tokens750
Stars10428
Forks763
Last Update2026-01-17

Tags

NginxWeb UILog AnalysisPerformance MonitoringCertificate ManagementAI AssistantLLMDevOps