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How to Report a Fraudulent Human Verification

Written by node
Updated today

When to report

You should consider filing a slash proposal if you have concrete evidence that a Human Verified profile is not a real, unique human. Valid reasons include:

  • Duplicate identities — The same person is verified under multiple profiles

  • Bot behavior — Automated posting patterns, impossible activity timestamps, or coordination with known bot networks

  • Admissions — The account has publicly stated or revealed non-human status

  • Technical evidence — Links to known sybil operations or provably automated infrastructure

When NOT to report

Do not file a slash proposal if:

  • You disagree with or dislike the user — That's not evidence of being non-human

  • The account is inactive or posts infrequently — Low activity is not proof of anything

  • You have a hunch but no evidence — You're staking your own credibility, so be sure

  • You're trying to settle a personal dispute — Slash proposals are for fraud, not grievances

Filing a bad-faith slash costs you. If your proposal is rejected, you lose the credibility you staked.

How to report

  1. Gather your evidence. Collect verifiable proof that the verified profile is non-human (screenshots, links, on-chain data, behavioral analysis, etc.)

  2. Initiate a slash proposal against the Human Verification bond through Ethos

  3. Stake your credibility. You must put up your own credibility as a bond, creating skin in the game that discourages frivolous accusations

What happens next

Once your slash proposal is submitted:

  1. Community review — Reputable Ethos users review the evidence and vote on the outcome, weighted by their credibility scores. This is not a popularity contest — voters are expected to evaluate the evidence objectively.

  2. Resolution:

    • If approved: The Validator who verified the fraudulent account loses 800 credibility and permanently loses the ability to verify humans

    • If rejected: You lose the credibility you staked as the proposer

The process follows Ethos's established social consensus mechanism, which has been battle-tested across other protocol functions.

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