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[ on-chain  ·  solana + evm ]

Scam Token Check

Verify the contract structure, on-chain trading history, and developer wallet activity before buying in.

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
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⚡ Results in Seconds
🔍 Honeypot detection
💧 LP lock status
👥 Holder concentration
⚡ Solana + EVM
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Unlimited Token Risk Checks

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
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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 implement a whitelist-only exit pattern typically include transfer restrictions that allow selling or transferring tokens only from addresses explicitly approved by the contract owner or governance. Mechanically, this is most often enforced through require() statements embedded in the token’s transfer or sell functions, which check a whitelist mapping before permitting outbound transfers. This means that while anyone can buy the token, only a selected subset of holders—those on the whitelist—are authorized to sell or move their tokens. This asymmetry creates a structural one-way liquidity flow that can effectively trap funds for non-whitelisted holders. Such a mechanism is not hidden in runtime behavior alone but can be detected through direct static contract inspection, as the whitelist condition is typically explicit in the contract code.

The implications of this pattern are significant. In theory, a whitelist-only exit pattern can be used for legitimate reasons, such as regulatory compliance by restricting sales to verified or accredited investors. Such use cases often come with a fixed, immutably set whitelist or a transparent, publicly disclosed whitelist policy. However, in many cases, the whitelist is owner-controlled and modifiable after launch. This dynamic control allows the contract owner to arbitrarily add or remove addresses from the whitelist, which introduces a substantial exit risk for token holders. Holders not on the whitelist cannot liquidate their positions, effectively becoming locked in, while whitelisted participants retain full exit flexibility. This asymmetry can be exploited to create a soft honeypot, where buyers are unaware of the exit restrictions until they attempt to sell and find themselves blocked.

It is important to emphasize that the presence of a whitelist-only exit restriction alone does not definitively confirm malicious intent or an outright scam. The pattern itself only establishes a structural capability that can be leveraged in ways ranging from benign to exploitative. The critical factor that shifts the risk profile is the owner’s ability to dynamically modify the whitelist after deployment. If the whitelist is immutable or ownership is renounced, the risk of sudden exit blocking diminishes substantially. Conversely, if the contract maintains active owner privileges that can alter whitelist status, this preserves the potential for exit blocking indefinitely, creating ongoing uncertainty and risk for all token holders.

Additional contract features can meaningfully alter the risk assessment when combined with whitelist exit restrictions. For instance, owner-controlled upgradeability can allow the whitelist logic itself to be changed after deployment, potentially introducing new restrictions or removing existing ones without community consent. The presence of pause functions adds another layer of risk, as the contract owner can halt all transfers and sales temporarily or indefinitely, compounding liquidity risk. If such pause functionality is active and owner-controlled, the combination with a whitelist-only exit pattern effectively shuts down all exit options for non-whitelisted holders, dramatically increasing their vulnerability to trapped positions.

Liquidity pool conditions further interact with whitelist exit patterns to influence risk. Tokens with thin liquidity pools relative to their market cap—such as pool depths under $50,000 against a multi-million dollar market cap—can experience severe price slippage when whitelisted holders attempt to sell. In these cases, the forced selling pressure from a limited whitelist can cause dramatic price impacts, while holders outside the whitelist remain unable to exit. This dynamic can foster a damaging feedback loop, where selling pressure depresses price, which in turn discourages new buyers, further reducing liquidity. If this is coupled with active minting authority, the owner can dilute the token supply, exacerbating downward price pressure. Similarly, freeze mechanics that selectively immobilize wallet balances can intensify sell pressure on whitelisted holders, as non-whitelisted holders cannot contribute to market liquidity.

The broader market context also plays a role in interpreting the whitelist-only exit pattern’s risk. For tokens launched recently—such as those with median pair ages around 19 days—and operating on chains like Solana, where certain DEXes dominate liquidity provision, the pattern’s impact may be magnified by the token’s early lifecycle volatility. Early-stage tokens often experience higher price volatility, rapid supply changes, and evolving governance, all of which intersect with whitelist exit restrictions to influence exit risk. High 24-hour volumes relative to pool depth can sometimes mask underlying liquidity fragility, especially if a significant share of volume is generated by whitelisted sellers acting in concert. In such environments, the whitelist-only exit pattern can facilitate scenarios where coordinated sell-offs by whitelisted holders precipitate rapid price declines, while the majority of holders remain locked in.

Transparency and communication around whitelist criteria and contract governance can mitigate some uncertainty but do not eliminate structural risk. Public disclosure of whitelist policies, immutable code verifications, and clear governance frameworks can help distinguish legitimate use of whitelist exit patterns from those designed to trap investors. However, the existence of owner-controlled whitelist modification privileges should always be viewed as preserving a latent exit risk. This risk persists regardless of declared intent because the pattern’s structural design enables selective liquidity denial on demand.

In summary, the whitelist-only exit pattern represents a complex structural risk feature within crypto token contracts. It can sometimes be employed for compliance or market stability purposes, but its combination with owner-controlled dynamic whitelist modification, upgradeable contracts, pause and freeze functions, and thin liquidity pools often signals elevated exit risk. Recognizing the nuanced interplay among these variables is essential for assessing the potential for trapped funds and asymmetric liquidity flows. The pattern itself is an architectural capability that neither confirms innocence nor guilt by itself but serves as a critical lens through which token exit dynamics and holder risk should be examined.

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

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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 →