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[ on-chain  ·  solana + evm ]

Rug Pull Risk Check

Paste any contract address for an instant on-chain risk assessment -- honeypot detection, liquidity analysis, holder concentration, and contract permissions.

Read the contract before the contract reads you. Honeypot, rug, and scam detection from on-chain state — not market data.

⚠️ Token Risk Check
✓ On-Chain Analysis
🔒 No Signup
⚡ Results in Seconds
🔍 Honeypot detection
💧 LP lock status
👥 Holder concentration
⚡ Solana + EVM
4.6 / 5 from 4,140 users Direct on-chain reads 🔐 Non-custodial — no wallet connect required Sub-5-second scan 🔗 Solana · Ethereum · Base · Arbitrum · BNB · Polygon · Avalanche 📊 74,697 risk checks run
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Verify every contract before buying. Honeypot detection, LP lock analysis, and holder concentration reviews across Solana and EVM.
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Live Detections
127 scans today
49K+Scans Run
6Chains
15+Risk Signals
FreeFirst Check
What the checker detects
Example signals · run a scan to see live results
⚠️Sell TaxDETECTED
💧LP LockUNLOCKED
🔑Mint AuthorityACTIVE
OwnershipRENOUNCED
🐋Whale Wallet42%
📅Token Age3 DAYS
🚨Approval RiskHIGH
CooldownACTIVE
🔄Last Update48H AGO
📉Liquidity 24h-12%
🚫Transfer LockENCODED
Freeze AuthENABLED
📋ContractVERIFIED
💰LP Depth$48K
🔗Blacklist FnPRESENT
🔍
Honeypot Detection
Simulates sell transactions to detect transfer locks, fee traps, and whitelist-only exit conditions before you buy in. Reads the contract directly — not market data. Works across Solana SPL tokens and all major EVM chains.
💧
Liquidity & Holders
Reviews pool depth, LP lock status, and top wallet percentages. Surfaces unlocked pools and concentrated wallets before the price collapses.
Results in Seconds
On-chain read — no API delays, no market data lag. Raw contract analysis returned in under 5 seconds.
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Token Risk Analysis -- Contract, Liquidity & Holders

🔗 TL;DR

A token's risk lives in three places: contract permissions (can the dev mint, freeze, or block sells?), liquidity structure (is the LP locked and deep enough to exit?), and holder distribution (can a handful of wallets dump the entire float?). The checker above reads all three directly on-chain in under five seconds.

Scan time< 5 sec
Signals checked15+
Cost (first check)Free

Contracts that incorporate whitelist-only exit mechanisms impose transfer restrictions that allow selling exclusively from pre-approved addresses. This design manifests typically through a require() check or a mapping within the transfer function that blocks any transfer attempts originating from wallets not included on the whitelist. In effect, this structure gates liquidity outflows, meaning that buyers who acquire tokens without being on the whitelist may find themselves unable to sell or transfer their holdings, despite having successfully purchased the tokens initially. This structural feature can be detected through careful contract inspection without needing to execute any trades, as the transfer logic explicitly enforces a whitelist condition. The mere presence of such a pattern does not necessarily confirm malicious intent; it simply represents a technical capability that can trap holders by design, whether intentionally or as part of a broader regulatory or structural approach.

The risk relevance of this whitelist-only exit pattern primarily hinges on the governance of the whitelist itself—specifically, whether it is owner-controlled and modifiable after deployment. In scenarios where the contract deployer or owner retains the authority to add or remove addresses from the whitelist dynamically, the mechanism can be weaponized to selectively restrict selling. Under these conditions, the owner can effectively maintain an exit barrier for the majority of token holders while enabling liquidity only for favored addresses, a hallmark trait of what is commonly referred to as a soft honeypot. This selective gating creates a structural asymmetry in trading rights that can be exploited to trap unsuspecting investors. Conversely, if the whitelist is fixed at deployment, immutable, or governed through transparent, decentralized, or verifiable mechanisms—such as multisig wallets or timelocks—the risk profile shifts substantially. In these cases, the whitelist may serve legitimate purposes, for instance, regulatory compliance restricting transfers to verified participants or qualified investors in specific jurisdictions.

Additional contract features and governance mechanisms can strongly influence the assessment of whitelist-only exit patterns. The presence of owner-controlled functions that permit adding or removing addresses from the whitelist after launch heightens risk by enabling dynamic exit restrictions. This capability means the owner can adjust who may sell at any time, potentially locking out large segments of holders or manipulating liquidity access. However, if such whitelist modifications are subject to multisignature control or time-delayed governance, the risk is mitigated, as unilateral owner action becomes much harder to execute without consensus or transparency. Other complementary contract features such as pause functions, blacklist mappings, or adjustable sell taxes may compound the risk. For instance, a contract that combines whitelist gating with a pause function can freeze all transfers entirely, while blacklist mappings can selectively block suspicious addresses. Adjustable sell taxes can be used as economic barriers to exit, raising the cost of selling beyond reasonable levels. The interplay of these features can create complex liquidity traps that are difficult to unwind.

On-chain behavioral data provide further context that informs risk evaluation. If transaction histories reveal repeated whitelist updates or failed transfer attempts by holders not on the whitelist, this pattern reinforces suspicion that the whitelist is actively used to restrict exits. Conversely, a static whitelist combined with open transfer events involving various addresses may suggest a less hostile environment. The liquidity pool context also matters significantly. When whitelist-only exit restrictions coincide with thin liquidity pools or shallow market depth—such as pools under $50,000 in depth or those that are disproportionately small relative to the token’s market cap—the potential for forced exit scenarios becomes more pronounced. Small sell orders from whitelisted addresses can cause outsized price impacts, while non-whitelisted holders remain unable to sell at all. This creates asymmetric trading conditions where price discovery is impaired, and holders may face significant slippage or outright blocked sales. In such environments, the token may function like a trap, with illiquid markets that frustrate liquidity extraction.

However, if the liquidity pool depth is robust—above the median range of a few hundred thousand dollars—and trading volume is consistently high, the economic impact of the whitelist restriction might be less severe, at least in the short term. The structural capability to block exits remains a latent risk, but the practical effect on price volatility and liquidity can be muted by active market participation. Even so, the mere presence of whitelist-only exit patterns means that token holders are exposed to a non-negligible risk that exit access could be revoked or restricted suddenly if governance controls shift or if the owner exercises their authority. This underscores that the whitelist pattern itself is a structural feature that can sometimes be used for compliance or community protection but can just as easily serve as a mechanism for effective holder entrapment.

In sum, while whitelist-only exit mechanisms can be valuable tools for regulatory compliance or controlled token distribution, their implementation and governance critically influence their risk profile. Without transparent, decentralized controls, these patterns create a latent capability for liquidity gating that can trap holders, especially in the context of low liquidity pools and owner-modifiable whitelists. The pattern alone does not confirm intent but should be carefully scrutinized alongside complementary contract features and market conditions to assess the realistic outcomes for token holders.

Pre-buy on-chain checklist

  • Mint authority renouncedConfirms supply is capped — no new tokens can be issued post-launch.
  • LP locked or burnedLiquidity cannot be removed in a single transaction. Lock duration and locker contract are both verifiable on-chain.
  • !Top 10 holders under 40%Lower concentration means coordinated dumps are mechanically harder. Above 40% is a structural caution.
  • !No active freeze authorityActive freeze means wallets can be paused at the contract level — no exit possible during a freeze.
  • ×No transfer restrictionsThe transfer function should accept any holder selling. Encoded sell blocks, whitelist exits, and hidden tax functions are honeypot signatures.

Frequently asked questions

Verify the contract address before you buy in. Paste it into the scanner above for the full on-chain breakdown.

Why on-chain signals matter

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Solana + EVM Checks SPL tokens and EVM contracts across Ethereum, Base, Arbitrum, BNB Chain, Polygon, and Avalanche.
⚙ Methodology
Every risk verdict is generated from three on-chain reads run in parallel: (1) direct contract bytecode analysis for honeypot patterns, mint/freeze authority, and blacklist functions; (2) liquidity pool inspection for LP lock status, depth, and removable percentage; (3) holder distribution from token-account snapshots. No editorial opinion is layered on the output. Read the full methodology →