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[ on-chain  ·  solana + evm ]

Token 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
4.8 / 5 from 4,020 users Direct on-chain reads 🔐 Non-custodial — no wallet connect required Sub-5-second scan 🔗 Solana · Ethereum · Base · Arbitrum · BNB · Polygon · Avalanche 📊 73,921 risk checks run
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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 an owner-controlled adjustable sell tax parameter represent a nuanced structural pattern in tokenomics that warrants careful scrutiny from an onchain fraud analysis perspective. At its core, this pattern involves a contract-level mechanism allowing the token owner or an authorized party to dynamically modify the tax rate applied specifically to sell transactions after the token’s initial deployment. This modification is typically facilitated through a dedicated setter function that alters a state variable governing the sell tax percentage. The asymmetry inherent in this design—where buy transactions might be taxed differently or not at all—enables scenarios where selling tokens can become disproportionately expensive or even economically infeasible, while buying remains relatively unrestricted.

Detecting this pattern is relatively straightforward through static code analysis, as the presence of a modifiable sell tax parameter and its associated setter function is directly observable within the contract’s source or bytecode. This obviates the need for transaction history analysis to identify the pattern, enabling preemptive risk assessment before significant trading activity occurs. However, the mere existence of an adjustable sell tax function does not inherently imply malicious intent or fraudulent behavior. The context surrounding how and by whom this function can be invoked, as well as any embedded constraints or governance mechanisms, critically shapes the risk profile.

The risk implications become pronounced when the contract owner retains unilateral authority to adjust the sell tax without transparent, enforceable constraints. In such cases, the owner can theoretically increase the sell tax rate to near-100%, effectively creating a “soft honeypot” scenario where token holders are economically disincentivized or outright prevented from liquidating their positions. This can trap investors, undermining liquidity and eroding trust in the project. The absence of safeguards such as timelocks on tax modifications, multisignature approval requirements, or community governance mechanisms amplifies the potential for exploitative behavior. Yet, it is important to emphasize that the pattern alone does not confirm malicious intent; some projects legitimately leverage adjustable taxes to optimize tokenomics dynamically, incentivize holding, or fund ongoing development and marketing efforts.

Further analytical depth emerges when adjustable sell tax contracts are examined alongside supplementary contract features. For instance, if the contract implements a whitelist-only exit mechanism, restricting transfers or sales to approved addresses, this severely limits token liquidity and exit options, compounding the risk posed by adjustable taxes. Conversely, the presence of timelocks that delay tax modifications or multisignature governance that requires multiple parties to approve changes introduces friction and transparency, reducing the likelihood of abrupt, punitive tax hikes. Similarly, contracts where minting or freezing authorities have been renounced or are transparently governed mitigate systemic risks by limiting the owner’s capacity to manipulate token supply or suspend transfers.

The interplay of adjustable sell tax patterns with other common contract conditions broadens the spectrum of potential outcomes and risk profiles. When combined with an active freeze authority or blacklist function, the owner’s ability to impose prohibitive taxes is augmented by the capacity to freeze or blacklist specific wallets. This dual mechanism can effectively block exits, exacerbating liquidity risk and potential investor losses. On the other hand, if the contract is upgradeable via proxy patterns without timelocks or governance controls, the owner can replace the contract logic at will, potentially introducing or removing controls on adjustable taxes post-deployment. This dynamic introduces a layer of uncertainty and risk that is challenging to quantify without continuous monitoring.

Conversely, adjustable sell tax mechanisms paired with robust governance frameworks and immutable limits tend to reflect more stable and transparent tokenomics. In these cases, tax adjustments serve operational purposes—such as responding to market conditions or funding development—rather than exploitative ends. Community oversight or multisignature controls provide a check against unilateral decisions, enhancing investor confidence. Moreover, the existence of clear, immutable maximum tax rates constrains the owner’s ability to impose punitive fees, further mitigating risk.

It is also worth noting that the economic impact of adjustable sell taxes is context-dependent, influenced by factors such as liquidity pool depth and holder concentration. Tokens with thin pools relative to market capitalization are more susceptible to price manipulation and liquidity shocks arising from sudden tax changes. Similarly, high holder concentration can magnify the effects of sell tax adjustments, as large holders may be disproportionately affected or incentivized to act strategically. Therefore, onchain fraud analysis benefits from integrating structural contract patterns with broader market and liquidity metrics to form a holistic risk assessment.

In sum, while owner-controlled adjustable sell tax parameters can sometimes serve legitimate operational roles within tokenomics, their presence necessitates a nuanced evaluation of governance, control mechanisms, and broader contract features. The pattern itself does not confirm fraudulent intent but can be a critical component in complex exit-blocking or liquidity-manipulating schemes when combined with other risk factors. A thorough onchain fraud analysis must therefore consider these patterns in concert with contract governance, upgradeability, and market context to accurately gauge potential risks and investor exposure.

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

Verify the contract address before you buy in. Paste it into the scanner above for the full on-chain breakdown.

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 →