TOTP VALIDATION (WITHOUT CREATING CREDENTIAL)
This workflow provides an efficient dynamic one-time password (TOTP) verification solution without the need for additional credentials. By using the TOTP key and verification code input by the user, the system can instantly validate the effectiveness of the code, making it suitable for two-factor authentication and security-related automation processes. This solution reduces integration complexity and security risks while enhancing the convenience and accuracy of verification, making it particularly suitable for developers, operations personnel, and security teams.
Tags
Workflow Name
TOTP VALIDATION (WITHOUT CREATING CREDENTIAL)
Key Features and Highlights
This workflow implements dynamic Time-based One-Time Password (TOTP) validation using a Python code node, without the need to create additional credentials. By inputting the user's TOTP secret key and verification code, it instantly determines the validity of the code. It is well-suited for integration into various authentication and two-factor authentication (2FA) systems.
Core Problem Addressed
It solves the challenge of quickly verifying a user-provided 6-digit TOTP code within automated processes, eliminating the dependency on external credential management. This reduces integration complexity and security risks while enhancing the convenience and accuracy of secondary verification.
Use Cases
- Two-factor authentication (2FA) during user login
- Verification of dynamic codes by system administrators or developers within automated workflows
- Security-related automation scenarios requiring embedded TOTP validation logic in workflows
Main Process Steps
- The workflow execution is manually triggered by the user via the “Test workflow” action.
- Example TOTP secret key and verification code are set in the “EXAMPLE FIELDS” node.
- The “TOTP VALIDATION” node runs a Python script that generates and validates the code based on the TOTP algorithm.
- The “IF CODE IS VALID” node evaluates whether the code is correct and branches the subsequent logic accordingly.
- Different flows can be executed based on the validation result (not detailed in the example).
Involved Systems or Services
- Built-in n8n nodes: Manual Trigger, Set, Code, and If nodes
- Pure code implementation of the TOTP algorithm without relying on third-party services or external API calls
Target Users and Value
- Developers and operations personnel: Quickly integrate secure TOTP validation into automated workflows
- Security teams: Build verification mechanisms compliant with two-factor authentication standards
- Product designers: Enhance user account security with a convenient verification experience
- Anyone needing to implement dynamic code validation within n8n workflows
This workflow template provides a concise and practical TOTP validation solution, enabling users to easily implement time-based one-time password verification to safeguard system identity security. It is simple to operate, customizable, and extensible.
Secure Webhook
This workflow provides a secure Webhook solution that utilizes Bearer Token for authentication, ensuring that only authorized clients can access it. It validates the required fields in the request body to ensure data integrity and returns a standardized JSON response. Users can flexibly configure the authentication token and required fields, and after successful validation, custom business logic can be inserted. This is suitable for API interfaces that require strict authentication and data format requirements, ensuring the security and effectiveness of data exchange.
Linear Bug Auto-Classification and Team Assignment Workflow
This workflow utilizes the Linear task management system and OpenAI's GPT-4 model to automatically classify newly submitted bugs and intelligently assign them to teams. By automatically filtering tasks and matching them with team responsibilities, it ensures that bugs are quickly allocated to the appropriate team for resolution. If the AI is unable to make a determination, the system will automatically send a Slack notification to prompt human intervention, significantly improving the efficiency and accuracy of task handling while reducing the need for manual intervention.
My WF
This workflow is primarily used to automatically capture and process error information during workflow execution. It automatically creates task items in the Monday.com board with error details and updates relevant fields in real-time. By accurately extracting error stacks and information, it enhances the timeliness of error feedback and the level of visual management, helping teams quickly locate and track errors. This addresses the issues of scattered and hard-to-track error information, making it suitable for automated operations, development teams, and project management.
Error Alert and Summarizer
This workflow automatically captures and analyzes errors within the workflow, utilizing the OpenAI GPT-4 model for intelligent diagnosis. It generates detailed error reports and promptly sends them via email to designated recipients. It can quickly identify error nodes, provide explanations for the causes of failures, and offer solutions, significantly reducing the difficulty of manual troubleshooting and improving error handling efficiency. This helps the team to stay updated on the system's operational status in real-time, ensuring the stability and reliability of automated processes.
Example Workflow for Asynchronous Independent Process Coordination and Callback
This workflow demonstrates how to elegantly handle the collaboration between asynchronous independent processes and the main process. By manually triggering the main process and sending an HTTP request to initiate an independent task, it utilizes `resumeUrl` for callbacks, ensuring that the main process can accurately receive external results and avoid duplicate executions. The workflow simulates calling an external API to fetch programming jokes, showcasing the asynchronous processing capabilities in real business scenarios, making it suitable for complex business operations and multi-channel message handling.
Monitor Multiple Github Repositories
This workflow implements real-time monitoring of multiple GitHub repositories, utilizing the Webhook mechanism to avoid traditional polling, thereby improving efficiency and response speed. Users can easily add or remove monitored repositories, automatically capturing events such as push and pull_request, and pushing relevant notifications to Telegram or other instant messaging tools. This ensures that the team stays updated on code activities, enhancing collaboration transparency and responsiveness. It is suitable for development teams, project managers, and DevOps engineers, helping to simplify the management process of multiple repositories.
A Workflow with the Twilio Node
This workflow is manually triggered and integrates Twilio services to streamline the automation of SMS and voice communication processes. Users can quickly send messages or make voice calls by simply clicking the execute button, enhancing customer communication efficiency. It is suitable for businesses and developers that need to rapidly implement communication features and is widely used in scenarios such as customer notifications, verification code delivery, and marketing campaigns, thereby lowering the barrier to using Twilio.
Standup Bot - Read Config
This workflow is primarily triggered manually, reading the local configuration file (standup-bot-config.json) and converting its binary data into JSON format for subsequent automated processes. Its efficiency lies in ensuring the secure and accurate reading of configurations, avoiding errors that may arise from manual input. It is suitable for automated robots or task scheduling scenarios that require dynamic behavior adjustments, enhancing flexibility and maintenance efficiency while reducing the risk of configuration errors.