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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
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 a whitelist-only exit pattern are architected to limit token transfers or sales exclusively to a predefined set of authorized addresses. This mechanism is frequently implemented through conditional checks—such as a require() statement—in the transfer or transferFrom functions, which reject any transaction initiated by wallets not included on the whitelist. Functionally, this design often allows buy transactions to proceed unhindered, while sell or transfer attempts from non-whitelisted holders are reverted. This dynamic effectively traps liquidity on the sell side, as affected holders find themselves unable to exit their positions unless their address is explicitly permitted. The contract owner usually retains control over the whitelist, allowing them to add or remove addresses post-launch, which introduces a layer of dynamic control that can significantly alter token flow patterns over time. Importantly, these structural features can be identified through static code analysis without requiring execution of on-chain transactions, providing an early indication of potential exit restrictions embedded within the contract.

The risk implications of whitelist-only exit patterns depend heavily on the broader context in which they are deployed, as well as the governance model controlling the whitelist itself. In scenarios where the whitelist is immutable or locked shortly after token launch, this exit restriction can serve practical, non-malicious purposes. For instance, projects aiming for regulatory compliance might employ such mechanisms to ensure only vetted entities can liquidate holdings, or phased token release schedules might use allowlists to gradually unlock liquidity to prevent market shocks. However, when the contract owner maintains the ability to modify the whitelist arbitrarily and without transparent controls, this design manifests a latent exit-block risk. In such cases, holders can be selectively barred from selling at any time, creating what is sometimes described as a “soft honeypot” condition. The presence of owner-modifiable whitelist functions alone does not confirm malicious intent, since some projects legitimately use allowlists for governance participation or community incentives. Nevertheless, this capability significantly elevates risk by enabling the owner to effectively freeze selling for targeted wallets on a discretionary basis.

Evaluating whitelist-only exit tokens demands consideration of additional on-chain signals that can materially influence the overall risk profile. For example, contracts with active mint authority that has not been renounced introduce a compounding dimension of risk. The potential for arbitrary supply inflation dilutes existing holders and can exacerbate downward price pressure if combined with exit restrictions. Similarly, an active freeze authority or blacklist function callable by the owner can impose further token movement constraints, layering multiple exit control mechanisms atop the whitelist. In contrast, governance models implementing timelocks, multisignature wallets, or decentralized community oversight over whitelist modifications can mitigate these concerns by limiting unilateral owner action. A transparent and publicly auditable whitelist policy, with verifiable community oversight, tends to shift the interpretation of this pattern towards a more benign operational model, reducing suspicion of exit manipulation or entrapment.

When whitelist-only exit patterns intertwine with other structural factors—such as thin liquidity pools relative to market capitalization, adjustable sell taxes, or upgradeable proxy contracts lacking timelocks—the spectrum of potential outcomes can skew toward more severe risk scenarios. Liquidity pools that are shallow or under $50,000 in depth are particularly vulnerable to price volatility when large supply tranches unlock suddenly, driving continuous sell pressure rather than isolated dump events. If exit restrictions concurrently prevent holders from selling or transferring freely, this can create persistent illiquidity on the sell side, distorting market dynamics and enabling price manipulation. Upgradeable proxy contracts without robust governance controls exacerbate this risk by allowing sudden, potentially opaque logic changes that can activate or intensify exit blocks without prior notice. While each of these patterns may independently exist in legitimate projects pursuing staged releases or enhanced security, their convergence often correlates with extended sell-side illiquidity and elevated potential for market abuse, warranting heightened analytical scrutiny.

It is important to emphasize that the presence of a whitelist-only exit pattern does not by itself confirm malicious intent or guarantee exit manipulation. These mechanisms can sometimes be part of strategic tokenomics designed to protect investors or comply with regulatory frameworks. However, the ability of a contract owner to modify whitelist permissions dynamically and without transparent governance controls introduces a significant layer of uncertainty and risk. The interplay of this pattern with active minting, freezing, or blacklisting functionalities compounds the potential for exit restrictions to be wielded arbitrarily. In cases that match this pattern, the structural signals should be interpreted as warning signs indicative of possible liquidity entrapment scenarios, rather than definitive evidence of fraud or scam. Analytical caution and deeper contextual evaluation are necessary to distinguish between strategic exit controls and exploitative practices.

In the broader landscape of token risk assessment, whitelist-only exit patterns represent a critical structural dimension that interacts with liquidity characteristics, token supply dynamics, and governance frameworks. Their early detection through static analysis offers a valuable lens into potential exit restrictions that might not be immediately apparent through market activity alone. When combined with on-chain evidence such as minting authority status, blacklist capabilities, and proxy upgradeability, these patterns provide a nuanced understanding of how token contracts can influence holder behavior and market liquidity. This analytical perspective is essential for anticipating scenarios where holders may find themselves unable to divest or transfer tokens despite nominal market activity, underscoring the complex interplay between contract code, governance, and market dynamics in shaping token risk profiles.

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 →