In this bounty, I collected interesting datasets using Forta, Dune Analytics, etc. Datasets include on assets, addresses, contracts, and transactions on the Ethereum blockchain. Data collection was focused in 3 areas: security, compliance, and authenticity.
Ethereum Transaction data obtained from Kaggle was then analysed using libraries like Pandas, Numpy, MatplotLib and Seaborn using Jupyter Notebook.
Data Analytics Jupyter Notebook File - view
- A python script queries the CryptoscamDB api endpoint and saves the output in a CSV file.
- Scams currently tracked - view
- Verified Scam entries - view
- Addresses with associated malicious malicious entries
- Active Scams
- Inactive Scams
- Blacklisted domains
- Whitelisted domains
- Implemented a python script to query the Dune Analytics endpoint using an API key.
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Phishing Stats - view
- Stolen by Project
- Open Sea Stolen NFTs
- Sold by Project
- Total Victims
- Platforms
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Airdrop Scams - view
- Scam Token Contract
- Scam Airdrop Token
- Contract Creator
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Crypto Sanctions - view
- Sanctions Addresses
- ERC20 Balances
- ERC721 Balances
- Interactions with Sanctioned Addresses
- USDT Blacklist
- Chainalysis: Sanctions Oracle - Sanctioned Addresses
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Copycat Token - view
- Copycat Tokens
- Flagged fake crowdsale addresses
- UNIswap LP Scam - stolen NFTs
- UNIswap LP Scam - potential victims
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Mining Voucher Scam - view
- Mining Vouchers Scam - USDT Victims
- Queried the ChainAbuse Database using a pythonscript with an associated API Key. Output saved in a CSV file.
- Rug Pull
- Ukranian Donation Scam
- Fake Coin Listing
- Phishing
- Seed Phrase Theft
- Malware
- Ransomware
- Contract Exploits
Akanimoh Osutuk.