Fraud Detector

Most fraud detection tools tell you about wallets that have already been caught. ChainAware's Fraud Detector tells you about wallets that haven't been caught yet.

By analysing on-chain behavioural patterns across 14M+ wallet profiles, it predicts fraud risk with 98% accuracy — before any crime occurs, before any report is filed, before anyone else has flagged the address. The result is a fraud probability score from 0 to 1, delivered in under 100ms.

Free to use. No signup. No wallet connection needed.

Check a Wallet's Fraud Score →


Predictive vs. Forensic: Why It Matters

Most crypto security tools are forensic — they maintain databases of addresses that have already been confirmed as fraudulent. If an address isn't in the database, it gets a clean bill of health, even if it's about to scam you tomorrow.

ChainAware is predictive. The AI analyses the behavioural history of a wallet — its transaction patterns, counterparty relationships, protocol usage, timing behaviours — and identifies the signatures of fraud before it manifests. This catches:

  • New scammer wallets that haven't been reported yet
  • Sophisticated actors who rotate through clean-looking addresses
  • Wallets with emerging risky patterns that haven't crossed a threshold yet

The difference in practice: A forensic tool says "this address hasn't been caught before." ChainAware says "this address behaves like 94% of wallets that went on to commit fraud."


What the Fraud Score Means

The score runs from 0 to 1:

Score Range Interpretation
0.00 – 0.25 Low risk — behavioural patterns consistent with legitimate activity
0.26 – 0.50 Moderate — some anomalous signals; proceed with caution
0.51 – 0.75 High risk — significant fraud indicators present
0.76 – 1.00 Very high risk — strong fraud pattern match; avoid interaction

Addresses already confirmed in forensic databases as scam addresses are automatically scored at 1.0 regardless of the AI model's output.


How It Works

ChainAware's fraud model evaluates wallets across ten behavioural parameters — the same ones that underpin the full Wallet Auditor:

  • Transaction patterns — frequency, value distribution, timing, and counterparty diversity
  • Protocol behaviour — which protocols are used, in what order, and with what cadence
  • Network connections — relationships to known bad actors, mixers, sanctioned addresses
  • Experience signals — is this wallet behaving consistently with its stated history?
  • Anomaly indicators — sudden behavioural shifts, wash trading patterns, rapid fund movement

The model is an ensemble — multiple specialised algorithms vote on fraud likelihood, with consensus reducing false positives. It retrains daily on new fraud examples, adapting to evolving attack techniques faster than rule-based systems can be updated.

False positive rate: ChainAware targets sub-5% false positives, far below the 30–70% rates typical of traditional rule-based systems.


Fraud Detection vs. AML: What's the Difference?

These are complementary tools, not the same thing:

Fraud Detection — predicts whether a wallet is likely to commit fraud in the future, based on behavioural patterns. Answers: is this wallet dangerous to interact with?

AML (Anti-Money Laundering) — verifies whether funds passing through a wallet have legal origins, checking against sanctions lists and known crime proceeds. Answers: are these funds clean?

A wallet can have clean AML status but high fraud risk (a new scammer with no prior history). Or it can have AML flags but low forward-looking fraud risk (a historical connection that's no longer active). ChainAware's full Wallet Auditor provides both.


How to Use the Fraud Detector

  1. Go to chainaware.ai/fraud-detector
  2. Select the blockchain (Ethereum, BNB Smart Chain, Polygon, Base, Solana, TON, Tron, or Haqq)
  3. Paste any wallet address — ENS and Unstoppable Domains names are supported
  4. Click Calculate

Results are returned instantly from cache for previously analysed addresses. For addresses not yet in the system, recalculation takes 3–4 seconds for wallets with large transaction histories.

Note: The detector works on regular wallet addresses only. For contract addresses (tokens, pools, protocols), use the Rug Pull Detector instead.


When the Detector Can't Score a Wallet

Two situations produce no score:

  • Contract addresses — the AI is trained on wallet behaviour, not contract logic. Paste a contract and ChainAware will redirect you to the Rug Pull Detector automatically.
  • New wallets with fewer than 10–15 transactions — there isn't enough behavioural data to establish a reliable pattern. A brand new wallet with no history scores as unknown, not safe.

A wallet with no score is not necessarily trustworthy — it may simply be too new to have developed a detectable pattern.


What You Can Use It For

Before sending funds — Check any address before transferring cryptocurrency. Even a 10-second fraud check can prevent a $2,600 average loss.

Someone's offering you an investment deal — Anyone pitching a crypto opportunity has a wallet. Run it before you commit.

A stranger messaged you on Telegram or Discord — Crypto scams disproportionately start on messaging platforms. A quick fraud check tells you whether the wallet they reference is legitimate.

Verifying a payment address — Address substitution attacks replace legitimate receiving addresses. Audit the final destination before signing any transaction.

Screening NFT sellers or buyers — Before a high-value NFT trade, check the counterparty's fraud score.

DeFi liquidity partners — Before adding joint liquidity with another party, verify their on-chain reputation.


Access via Bot

Run fraud checks without leaving your community:

Telegram: /fraudcheck [address]Add ChainAware Bot


Supported Networks

Ethereum, BNB Smart Chain, Polygon, Base, Solana, TON, Tron, and Haqq.


Further Reading


Fraud Detector is free for individual use. Enterprise API for high-volume screening available at swagger.chainaware.ai.