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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
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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
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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 incorporate whitelist-only exit mechanisms enforce transfer restrictions that allow selling or transferring tokens solely from approved addresses. Mechanically, this is often implemented through require() checks embedded within the transfer or transferFrom functions, which revert transactions originating from wallets not included in the whitelist. This pattern can effectively block token holders who are not on the allowlist from liquidating or moving their tokens, even if they have successfully purchased them on secondary markets or directly from the project. Importantly, the structural capability to restrict transfers exists independently of whether the whitelist itself is actively managed or remains static. Detection of this pattern is feasible through direct contract inspection tools, which analyze the bytecode or source to identify conditional transfer restrictions, without necessitating actual trade execution to observe behavioral effects.

The risk relevance of whitelist-only exit mechanisms primarily hinges on the nature and management of the whitelist itself. When the whitelist is owner-modifiable after launch, the project team retains the authority to selectively block selling by certain holders arbitrarily. This kind of dynamic control can facilitate exit scams or create soft honeypot scenarios, where buyers acquire tokens but find themselves unable to liquidate unless they obtain prior approval from the controlling entity. This selective sell blocking can also be weaponized to coerce holders into retaining tokens during periods of negative market sentiment or impending bad news. On the other hand, whitelist-only exit restrictions are not inherently malicious. There are legitimate contexts where such transfer restrictions serve compliance or operational purposes. For example, vesting contracts that release tokens gradually to team members or advisors often implement whitelist mechanisms to ensure orderly token distribution. Similarly, regulatory compliance frameworks may require controlled transferability to meet jurisdictional standards. In these cases, the whitelist tends to be immutable or governed transparently, often with multisig oversight or time-locked functions to prevent arbitrary changes.

Additional signals can significantly alter the risk assessment associated with whitelist-only exit patterns. One critical factor is the presence of owner-controlled functions that modify the whitelist dynamically. If these functions lack multisig or timelock protections, the contract owner can swiftly and unilaterally add or remove addresses from the whitelist, intensifying the risk of selective sell restrictions and potential abuses. Moreover, the combination of whitelist-only exit controls with active minting or freezing authorities amplifies concerns. Contracts that allow the owner to mint tokens at will or freeze transfers selectively can inflate supply or lock specific holders further, compounding the economic damage resulting from transfer restrictions. Conversely, if the whitelist is immutable, publicly verifiable, and governed by a decentralized governance model or multisig arrangement, the risk profile diminishes considerably. On-chain history that reveals frequent whitelist updates targeting specific addresses or groups can raise red flags, implying potential manipulation or targeting. Conversely, a static whitelist established at the project launch and never altered would generally mitigate concerns, signaling a clearly defined and limited scope for transfer restrictions.

The interaction between whitelist-only exit mechanisms and liquidity pool characteristics is another crucial dimension in assessing risk. When these transfer restrictions coincide with thin liquidity pools relative to the token’s market capitalization, the potential for adverse outcomes escalates. Limited pool depth, such as pools with under $50,000 in liquidity, can amplify price impact from forced exits or blocked sells, causing sharp price slippage that frustrates trading attempts and discourages new buyers. In such environments, holders unable to exit due to whitelist restrictions may find themselves trapped in illiquid positions, unable to sell without incurring significant losses or price disruption. This structural vulnerability is further exacerbated if paired with other restrictive contract features, including pause functions that temporarily halt all transfers or blacklist mappings that prevent certain addresses from interacting with the token. However, if the liquidity pool is robust and the whitelist is stable or non-modifiable, the risk of severe price disruption diminishes materially. In these cases, the market can absorb selling pressure more effectively, and the transfer restrictions do not translate into practical immobility for token holders. Understanding the interplay between transfer restrictions and market liquidity is therefore critical to evaluating the practical impact of whitelist-only exit patterns.

It is important to emphasize that the mere presence of whitelist-only exit mechanisms in a contract does not by itself confirm malicious intent or guarantee negative outcomes. This pattern is a structural feature, and its risk implications depend heavily on the broader context, including contract governance, on-chain activity, liquidity conditions, and external regulatory considerations. Some projects may use whitelist restrictions transparently and responsibly to manage token distribution and maintain compliance, while others may employ the same mechanisms opportunistically to trap holders or manipulate markets. Analysts must therefore consider whitelist-only exit controls in conjunction with other contract permissions, historical contract interactions, and liquidity metrics to form a nuanced risk assessment. This layered approach helps differentiate between patterns that signal genuine operational design from those that may mask harmful economic incentives.

In practical terms, assessing contracts with whitelist-only exit patterns requires a holistic view that includes contract code analysis, transaction history, liquidity pool evaluation, and governance structure review. This ensures a balanced perspective that recognizes both the technical capabilities of these mechanisms and the economic realities they create for token holders. By integrating these dimensions, the structural pattern of whitelist-only exits can be understood as a double-edged sword—capable of legitimate use cases but also susceptible to exploitation under certain governance and liquidity conditions.

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 →