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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 incorporate an owner-controlled adjustable sell tax parameter represent a significant structural pattern in crypto token design. This pattern explicitly allows the contract’s logic to modify the percentage fee deducted on sell transactions after deployment. Mechanically, this is often realized through a setter function that updates a tax rate variable applied during transfers identified as sells. The ability to adjust the sell tax independently of buy taxes means the contract owner has a latent control lever to influence trading behavior post-launch. This can sometimes create a hidden risk vector because the sell tax can be raised dynamically to punitive levels, potentially blocking or severely disincentivizing holders from exiting their positions.

The presence of an adjustable sell tax parameter is typically detectable through static contract analysis. By inspecting the contract’s functions and state variables, an analyst can identify setter functions that control tax rates without needing on-chain trading data. This static footprint is valuable because it reveals potential exit risks embedded in the contract’s architecture before any trading activity occurs. However, it is important to emphasize that the existence of this pattern alone does not necessarily imply malicious intent or an imminent threat. Some projects implement adjustable taxes for operational flexibility, allowing them to respond to market volatility, incentivize liquidity provision, or fund ongoing development through dynamic fee adjustments. In these cases, the adjustable tax can be a pragmatic tool rather than a mechanism for exploitation.

The risk profile associated with adjustable sell taxes hinges critically on the degree of owner control and any governance constraints imposed on tax modifications. When the owner’s ability to modify the tax is unrestricted—lacking timelocks, multisignature approvals, or community governance—there is a heightened risk that the sell tax could be raised to near 100% after launch. Such an increase would effectively trap holders, preventing them from liquidating their tokens without incurring devastating fees. This scenario can sometimes manifest as a “soft rug pull,” where the contract does not outright block sells but makes them economically unfeasible. Conversely, if the contract includes transparent controls—such as immutable tax rates post-launch, clear communication about tax policies, or decentralized governance mechanisms—the adjustable tax pattern becomes less concerning. These safeguards introduce accountability and limit the potential for owner abuse.

Additional contract features can materially influence the risk assessment of an adjustable sell tax. For instance, if the contract also includes whitelist-only exit mechanisms, where only approved addresses can sell, the risk compounds significantly. This layering of restrictions creates a more sophisticated exit barrier, combining economic disincentives with access control. Similarly, owner-controlled pause functions or blacklist capabilities enable forced halts on transfers or selective blocking of wallets, further constraining token liquidity. These features, when combined with adjustable sell taxes, can produce a scenario where sells are effectively disabled without an outright ban, complicating detection and response by holders. On the other hand, evidence that the tax setter function has been renounced or locked behind a timelock reduces concern by limiting owner intervention. A fully decentralized governance framework controlling tax changes also mitigates centralized risk, distributing authority and enhancing transparency.

The interplay between adjustable sell tax and other common contract conditions can produce a wide spectrum of outcomes, ranging from benign to highly restrictive. In isolation, an adjustable sell tax set at reasonable levels may only modestly impact trading behavior, serving as a fee mechanism aligned with project economics. However, when paired with proxy upgradeability lacking timelocks, the owner can replace contract logic post-launch to introduce more aggressive taxes or transfer restrictions. This flexibility can sometimes be exploited to escalate exit barriers unexpectedly. Additionally, active mint or freeze authorities amplify risk by enabling supply inflation or selective wallet freezes, compounding difficulties for holders seeking to exit. The worst-case scenario emerges when multiple owner-controlled levers—adjustable sell tax, blacklist, pause, and upgradeability—are combined. This configuration creates a “soft honeypot” effect, where sells are effectively blocked or penalized without overtly halting buys, trapping liquidity in a subtle but damaging way.

Despite these risks, it is crucial to recognize that the presence of adjustable sell tax and related control mechanisms does not by itself confirm malicious intent or fraudulent design. Many legitimate projects incorporate these features as part of their tokenomics and governance frameworks, balancing operational needs with transparency. The key analytical challenge lies in examining the contract holistically, assessing governance structures, owner permissions, and communication practices alongside the technical patterns. Only through this comprehensive lens can the adjustable sell tax pattern be contextualized appropriately—distinguishing between reasonable operational flexibility and potential exit traps. This nuanced approach underscores the importance of structural risk pattern analysis as a foundational component of any robust crypto scam checker methodology.

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 →