eChan Anti-Spam

Telegram group administrators can deploy automated spam protection through a bot that identifies and removes unwanted content without manual intervention. The system detects various forms of spam including unsolicited offers, explicit content, impersonation attempts, and social engineering scams designed to lure group members. Once added to a group with admin privileges, the bot automatically deletes spam messages and bans offending accounts. The protection system analyzes images, captions, and attachment details alongside text content when evaluating messages. An anti-impersonation feature specifically targets accounts attempting to mimic group administrators by detecting subtle variations in usernames and profile characteristics. The anti-raid functionality protects against coordinated attacks where multiple bot accounts join simultaneously. An optional captcha mode stops common bots from joining groups in the first place. Audit mode allows administrators to review the bot's decisions before enforcement actions take effect, with spam logged and admins notified but no automatic bans issued. When spam is detected outside audit mode, the system follows a graduated response: first-time offenders are kicked but can rejoin, while repeat offenders receive permanent bans. Action buttons attached to logged spam messages enable moderators to reverse decisions with a single click if false positives occur. All detected spam and enforcement events are logged through multiple channels. Administrators can view activity through direct messages, a web-based admin dashboard, or a dedicated Telegram moderator group accessible to the team. The dashboard allows configuration of different protection modes, context settings, and domain whitelists. User report modes enable group members to flag or vote on suspicious messages. The developers created the bot to protect their own Telegram community after learning how spam accounts circumvent standard filters. Pricing follows a pay-as-you-go model with bundle savings available, and new workspaces receive starter credits. The service markets itself as addressing both accuracy in spam detection and minimizing false positives.