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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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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 implement whitelist-only exit mechanisms often embed a require() check or analogous gating logic within their transfer or sell functions. This design enforces a strict constraint whereby only addresses pre-approved on a whitelist can execute outbound transfers. As a result, sales or transfers initiated by non-whitelisted holders are programmatically blocked, causing those attempts to revert on-chain. Mechanically, this can manifest as a honeypot pattern: buy transactions typically complete successfully, giving the illusion of liquidity and tradability, but sell attempts by unapproved wallets fail outright, effectively trapping liquidity and artificially supporting or inflating price action. The structural presence of such whitelist gating functions is typically detectable through direct contract inspection, as this pattern involves explicit permission checks tied to wallet addresses embedded within transfer logic.

The risk relevance of this whitelist-only exit pattern emerges primarily under conditions where the whitelist remains modifiable by the project owner or team after launch. In such scenarios, the whitelist functions as a dynamic gatekeeper that can be adjusted arbitrarily, allowing developers to selectively approve or block sales by specific holders at any time. This capability introduces a hidden layer of exit barriers, where buyers may unwittingly acquire tokens they cannot liquidate unless explicitly granted permission to sell. Such a mechanism can be exploited to manipulate price by artificially restricting supply available for sale, or to enforce forced holding periods that benefit insiders. However, it is important to note that the presence of a whitelist gating function alone does not confirm malicious intent or guarantee exploitative behavior; in some cases, the whitelist is fixed and transparently disclosed for legitimate purposes such as regulatory compliance, controlled token distributions, or vesting schedules. Immutable or time-locked whitelists significantly reduce the risk of sudden or arbitrary sell restrictions, mitigating concerns around exit liquidity.

Further analytical depth emerges when considering additional contract-level signals that influence the risk profile associated with whitelist exit gating. One such element is the presence of owner-controlled adjustable sell taxes, which can compound exit constraints by imposing variable fees on sales. If the contract allows the owner to arbitrarily raise sell taxes, this can create an additional economic barrier to exit, making sales prohibitively expensive for holders not whitelisted or subjected to high tax rates. Active mint authority granted to the owner or privileged addresses also heightens risk, as it enables potential inflationary dilution that can erode token value over time. Similarly, freeze authority—wherein transfers can be selectively halted by the owner—introduces the possibility for targeted transfer suspensions that exacerbate exit risks. The presence of blacklist functions callable by the owner adds yet another layer of potential exit blocking, allowing certain addresses to be banned from transferring tokens. In contrast, the renouncement of these privileges or governance via timelocked multisignature wallets can substantially improve the risk profile, as it limits centralized control and the ability to arbitrarily modify exit conditions post-launch.

The interplay between whitelist-only exit mechanisms and market structural factors further deepens the analysis. When such gating patterns combine with thin liquidity pools, low market capitalization, and cliff unlocks of large token tranches, the token’s market dynamics often skew toward extended downward price pressure rather than isolated crashes. Illiquid pools—those with depths under $50,000 relative to market capitalization—absorb unlocked supply poorly, causing sustained sell pressure that gradually depresses prices over time. If the whitelist restricts sales for a significant portion of holders, it can create an artificial sense of price stability while trapping sell orders. Once restrictions lift or the whitelist expands, these pent-up sell orders can cascade rapidly, triggering sharp price declines. This dynamic highlights how structural exit constraints can mask underlying liquidity risks and delay inevitable market corrections. Conversely, if whitelist gating is paired with robust governance controls, transparent tokenomics, and sufficient liquidity depth—such as median pool depths above $100,000 and market caps in the multi-million-dollar range—these negative effects may be mitigated. In such cases, orderly market functioning can persist despite the presence of structural exit constraints, as stakeholders have clear visibility and reasonable assurance around token transfer permissions.

It is also worth considering the behavioral incentives created by whitelist-only exit gating. When holders are aware or suspect that they may be arbitrarily locked out from selling, this can influence trading behavior, potentially discouraging participation or encouraging speculative accumulation by insiders. In some cases, the pattern aligns with vesting schedules designed to promote long-term project sustainability, but without transparent communication and governance safeguards, it can be perceived as a mechanism to entrap retail investors. The opacity of owner-controlled whitelist modifications can sometimes be exploited in what amounts to a form of price manipulation, where the project team controls supply availability on the market in real-time. Such manipulations are difficult to detect purely from on-chain data without comprehensive contract analysis, making whitelist-only exit checks a critical component of any moonshot scam check.

Ultimately, the detection of whitelist gating functions and their interplay with owner permissions, liquidity depth, and tokenomics provides a nuanced framework for assessing structural exit risks. While the pattern itself does not inherently confirm malicious intent, its presence demands closer scrutiny of contract ownership privileges and market conditions to understand the realistic range of outcomes. Tokens exhibiting dynamic whitelist gating combined with thin liquidity and flexible owner controls should be regarded as higher-risk, particularly in nascent markets with short pair ages under 30 days. In contrast, tokens with immutable whitelists, renounced privileges, and deep liquidity pools present a more resilient market structure less susceptible to exit manipulation. Understanding these patterns at a structural level enables more informed assessments of token risk profiles in emerging decentralized finance environments.

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 →