Every fake signup is a grant you paid for.
Free credits get farmed with fake accounts, OAuth pools and catch-all mail domains. In Case 001 the operator claimed a pool of 672 GitHub accounts.
Free credits get farmed with fake accounts, OAuth pools and catch-all mail domains. In Case 001 the operator claimed a pool of 672 GitHub accounts.
Farmed signups inflate the funnel, skew activation and bury real users. You end up planning, hiring and fundraising on numbers that aren't.
Farmed and leaked keys get pooled and resold on grey-market panels, so your compute serves someone else's customers. The Case 001 operator claimed a bank of 703+ keys.
One agent per platform searches GitHub, self-hosted git, Telegram, X, Reddit, Hacker News and the forums every weekday for your name, endpoints and signup flow.
Agents flag, people confirm. Every hit is captured before it's reported: repos, commits, DNS, RDAP, hosting and Wayback archives, checksummed so it still stands after they delete everything.
No drafts waiting on your team. Each report goes out from your own domain, so hosts deal with the rights holder.
Reports to platforms, hosts, registrars, mail providers and messaging apps. Daily checks, follow-ups when they go quiet, and heads-ups to every other vendor the same operator is hitting.
| Asset | Status |
|---|---|
| GitHub account | Gone 23 Oct |
| 8 catch-all mail domains | Wiped ~24 Oct |
| Successor GitHub account | Gone 28 Oct |
| Third GitHub account | Live · reported |
| Self-hosted git server | Live · host reported 2 Nov |
| Mail server | Live · host reported 2 Nov |
| Telegram channel | Live · no reply yet |
| Capability | Esuba | Fraud scoring | In-house team | Outside counsel |
|---|---|---|---|---|
| Finds the toolkit behind the signups | Every weekday | When there's time | ||
| Evidence hosts and registrars act on | With every report | Sometimes | Slowly | |
| Takedowns tracked until gone | Daily checks | Ad hoc | Per letter | |
| Warns the other vendors being hit | Peer network | |||
| Tracks the operator when they come back | Operator profiles |
We send every report, form and follow-up ourselves. Nothing sits in your inbox waiting for a sign-off.
Hosts and platforms deal with the rights holder, which is who they act fastest for.
We never log in to their systems, use leaked credentials or run their tools. No hacking back, ever.
What's down, what's still live and for how long, who replied, and what changed with the operator.
When they come back under a new name, we tie it to the same operator profile and report it again.
We show how the farm beats your signup flow and what would stop it. Your engineers decide what to ship.
$2,000/ month
Start with a free reportWe search public sources for toolkits, posts and repos aimed at your signup flow, and send you what we find.
We walk through the findings and show exactly how we'd shut it down.
A short intake: your watch terms, the domain reports go out from, and a one-time authorization to report on your behalf.
Evidence packs for everything live, and a report to every platform and host behind it.
Esuba is your abuse desk. AI agents watch the places farm toolkits live. Analysts verify every hit, capture the evidence and send the takedowns from your domain. Then we track every asset until it's gone.
$2,000 a month. There's one plan and everything on this page is in it: the watch, the evidence, the takedowns, the tracking and the operator profiles. It starts with a free farm exposure report, so you see what we find before you pay anything.
They can try. Finding the toolkits means watching GitHub, self-hosted git, Telegram and forums every day. Getting them down means evidence hosts accept, the right abuse channel for each provider, and weeks of follow-ups. Most AI startups don't have a trust & safety team, let alone the hours.
Usually, yes. In Case 001 the operator moved 26 repos to their own git server the same day GitHub removed the account. That's why we track the operator, not just the asset: successors, mirrors and new infrastructure get reported too.
It depends on the provider. In Case 001 the first GitHub account was gone in 2 days and the farm's mail domains in about 3. Some hosts take weeks. We follow up after seven days of silence and report on every asset until it's down.
No. We work from public sources. If you share signup or grant data, we use it to confirm which accounts were farmed, but that's optional.
We do. You authorize us once when we set up your desk. After that, each report goes out from your own domain with its evidence as soon as the finding is verified, and every one shows up in your weekly report.
No. We explain how the farm beats your flow and what kind of change would stop it. Your engineers decide what to build. We never touch your code.
Never. No logging in to operator systems, no leaked credentials, no running their tools. Public reads only.