Security controls built around access, integrity, and operational safety.
LeadsBot applies practical security controls to reduce accidental exposure, unsafe routing, forged events, and operational drift across lead capture, Telegram alerts, automation workflows, and webhooks.
LeadsBot is designed as a response layer, so security must protect the pipeline without making it hard to use.
Our controls focus on the places where lead systems usually break: over-permissioned access, forged webhook events, unsafe integrations, missing audit trails, and configuration drift.
Security foundations
Security in LeadsBot is organized around three foundations: scoped access, verified integrations, and operational hygiene. These map directly to how customers use the product in real workflows.
Scoped access
Authenticated sessions, API keys, workspace boundaries, and permission checks limit access to authorized business data and operations.
Verified integrations
Webhook signatures, validation controls, allowlists, and request handling help keep event flows safer in production.
Operational hygiene
Logging, deployment guardrails, secret handling, and safer production patterns reduce silent failure and unsafe configuration drift.
Access control
Access controls are designed to ensure users, team members, API clients, and automated workflows can only operate inside their authorized workspace boundaries.
Workspace isolation
Application queries and operations are scoped by workspace identity to prevent cross-tenant data access.
Authenticated sessions
Dashboard access requires authenticated sessions and server-side checks before sensitive actions are executed.
API key boundaries
API access is tied to workspace context and can be rotated when credentials are exposed or no longer needed.
Admin permission checks
Operational changes such as billing, integrations, team access, and workflow publishing require elevated permissions.
Event integrity and integration safety
Lead systems depend on event trust. LeadsBot applies verification and validation controls across inbound APIs, outbound webhooks, form submissions, and automation triggers.
| Control | Where it applies | Purpose | Status |
|---|---|---|---|
| HMAC signatures | Outbound webhook deliveries and signed inbound workflows | Allows receiving systems to verify payload authenticity before processing. | Active |
| Payload validation | Widgets, listener forms, API endpoints, webhook handlers | Rejects malformed, oversized, unsafe, or unexpected request shapes. | Active |
| Rate limiting | Public APIs, capture endpoints, auth-sensitive routes | Reduces automated abuse, spam bursts, brute force attempts, and queue overload. | Active |
| URL restrictions | Outbound webhook URLs and server-side fetch operations | Blocks dangerous internal-network targets and unsafe URL patterns. | Active |
Webhook recommendation: verify every LeadsBot webhook signature before trusting the payload, then reject failed signatures immediately.
Operational safeguards
LeadsBot uses operational controls to reduce silent failure, unsafe changes, accidental exposure, and automation drift across production workflows.
Workflow guardrails
Validation checks help prevent invalid nodes, unsafe actions, malformed webhooks, and incomplete workflow definitions.
Delivery logs
Important lead, alert, and webhook events are logged so operators can diagnose routing and follow-up issues.
Safer deployment patterns
Production changes are designed around build checks, service separation, and rollback-friendly deployment habits.
Abuse monitoring
Suspicious spikes, malformed submissions, and risky integration patterns can be throttled, blocked, or reviewed.
Data protection
Lead data belongs to the workspace that captured it. LeadsBot processes submitted data to route alerts, power workflows, generate summaries, send follow-ups, export records, and deliver configured integrations.
Security controls are designed to keep lead data inside the correct workspace, reduce unnecessary exposure, and protect operational secrets such as API keys and webhook credentials.
TLS for data in transit
Public application, widget, API, and dashboard traffic is served over HTTPS to protect data in transit.
Secret minimization
Secrets are treated as sensitive operational data and should not be exposed in frontend bundles or public logs.
Incident handling
When security issues are reported or detected, LeadsBot prioritizes containment, impact analysis, customer communication, remediation, and post-incident hardening.
Responsible disclosure
If you believe you have discovered a security vulnerability in LeadsBot, report it to security@leadsbot.tech. Please include the affected endpoint, proof-of-concept steps, observed impact, and any logs or screenshots that help us reproduce the issue safely.
Do not access, modify, delete, export, or disclose data that does not belong to you. Do not perform denial-of-service testing, social engineering, spam testing, or destructive actions against production systems.