Don't Get Rekt. DYOR!
web3rekt is dedicated to the education and awareness of the various blockchain incidents and scams. The web3rekt database serves to assist blockchain participants with accurate resources and analyses to understand the risks with cryptocurrencies and the various blockchain projects. web3rekt website maintains curated information from various Internet data sources contributed by the Web3 community and blockchain partners dated back to 2011. Registration is free to perform search against the web3rekt database. Details of the data set are here.
By default, search results, including navigation and applied filters, are reserved for logged in users and are shown in reverse chronological order. The main query is built from a combination of dropdown selections and partial matching of inputs such as specific entity, description or method specified by users. Inputs flagged with asterisks, if checked, augment the criteria of the main query, however, you cannot combine both Auditors and KYC on the same query.
The database is updated nightly or when new data is available. Auditor and KYC information update is ongoing.
If no result is shown, try any of the following may improve the search outcomes:
Check the Status. For example, Near Misses are typically utilized to flag incidents resolved as bounties.
Reduce the entity text to broaden the search, e.g., Aurora, Auro, or Aur
Use description to check for possible keywords. For example, Tornado Cash or FixedFloat.
All searches are not case-sensitive.
If Auditors and /or KYC are enabled, make sure they are not conflict.
If you find missing data, please do us a favor and let us know and we reward 100 pts for this information. Thank you.
If you are searching for specific transaction, address or token contract, please use the Address/TX Search.
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Under no circumstances, shall web3rekt be liable for any loss of profit or funds, any regulatory or governmental penalties, any legal costs, or any other commercial and non-commercial damages, including but not limited to special, incidental, consequential, or other damages from any or all usage of the data and information derived from this database.