ScammerSlammer
A Phish Takedown non-profit project.
Stop scam campaigns in your Discord before they spread.
ScammerSlammer is a shared security bot that detects scam links, fake support staff and known scammer accounts, then bans them globally across participating servers.
- Scammers banned
- 800+
- Users protected
- 450k+
- Monitoring
- 24/7
- Cost
- Free
@FakeSupport#1234
"DM me for account recovery, I'm official support"
Flagged as known scammer · banned globally
Global banExample data. In production, ScammerSlammer checks usernames, links and behaviour against live feeds powered by Phish Takedown.
Powerful features for busy mods
ScammerSlammer is built with high-risk Discord and Web3 communities in mind so you can spend less time chasing scams and more time looking after real users.
Sophisticated automod
Detects scams instantly using tuned rules and live data feeds.
Username checking
Flags known scammer usernames, aliases and common impersonators.
Scam link detection
Blocks malicious URLs and fake support invites before users click.
Global banning
Ban once and the same account is banned across participating servers.
Profile picture scanning
Catches accounts reusing official project avatars.
Moderator controls
Trusted mods can ban/unban and submit new intel to the database.
What happens when someone posts a scam?
Whether it's a wallet drainer link, fake invite or "DM me for support", ScammerSlammer responds in seconds.
- 1
Detect – the message is scanned using rules, link analysis and shared intelligence.
- 2
Verify – the user and content are cross-checked against known scammer databases.
- 3
Global ban – confirmed scammers are banned across all participating servers.
- 4
Log – actions are logged so moderators can review, appeal or add extra context.
Want ScammerSlammer in your server?
To prevent abuse of the global ban system, ScammerSlammer is invite-only. If you run an at-risk community or project, you can request access and we'll follow up.
Request accessScammerSlammer·a non-profit project of Phish Takedown