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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 owner-controlled adjustable sell tax parameters represent a nuanced structural pattern within token smart contracts, where the contract logic explicitly allows the contract owner or a designated authority to modify the fees applied to token sales dynamically. This adjustment mechanism is typically implemented through a mutable state variable that governs the sell tax rate, which can be increased or decreased after the contract’s initial deployment. The mechanism usually relies on a dedicated setter function accessible to the owner, without requiring multisignature approval, community consensus, or timelocked governance processes. Detecting this pattern involves analyzing the contract’s source code or ABI for functions that alter tax-related state variables unilaterally and without procedural safeguards.

From a mechanical standpoint, the presence of an adjustable sell tax means that the cost of exiting a position via token sales can fluctuate considerably over time, with the owner having the power to impose unexpectedly high fees on sell transactions. This asymmetry—where buy-side costs remain stable or low while sell-side costs can spike—can disincentivize or outright block token holders from liquidating their positions. The operational effect is that liquidity providers and investors may find themselves trapped in a position where selling incurs punitive fees, effectively creating a soft-honeypot scenario. This is distinct from static fee models, where sell taxes are fixed and transparent from launch, as the dynamic nature of the adjustable tax introduces uncertainty and potential for exploitative behavior.

The risk relevance of this pattern fundamentally depends on the owner’s ability and incentive to manipulate the sell tax parameter post-launch. When the contract permits unilateral and immediate tax hikes without multisig or timelock constraints, it creates a credible threat that exit liquidity can be artificially suppressed after buyers have entered the market. This creates a structural vulnerability that can be exploited to extract value from unsuspecting investors. However, it is important to emphasize that the presence of adjustable sell tax alone does not necessarily indicate malicious intent. Some legitimate projects implement adjustable fees to respond adaptively to market conditions, fund ongoing operations, or comply with evolving regulatory requirements. In these cases, adjustable taxes may be part of a flexible tokenomics model rather than a latent scam vector.

Mitigating factors that reduce the inherent risk of adjustable sell tax include the presence of transparent governance processes, such as timelocks that delay tax changes, requiring community approval or multisignature wallets to enact modifications. These controls introduce friction and accountability, making sudden punitive tax hikes less likely. Additionally, clear communication from the project team regarding the rationale for adjustable taxes and explicit operational policies can alleviate concerns. Conversely, the absence of such safeguards, combined with opaque or missing explanations, increases the likelihood that the adjustable sell tax pattern serves as a latent exit barrier or soft-honeypot mechanism.

Further analytical depth emerges when considering complementary on-chain and off-chain signals that contextualize the adjustable sell tax pattern. For instance, if historical transaction data reveals prior instances where the sell tax was sharply increased coinciding with price declines or failed sell attempts, this behavior strengthens suspicion of exploitative use. Similarly, the presence of additional contract features such as whitelist-only exit functions or blacklisting capabilities compounds risk by limiting which holders can sell tokens regardless of tax rates. These restrictions can create near-complete exit barriers, transforming what might otherwise be a flexible tax mechanism into a structural trap. Transparent governance mechanisms and evidence of owner renouncement or decentralization efforts can provide counterbalance to these concerns, signaling a lower likelihood of malicious intent.

The interaction of adjustable sell tax with other structural features in the contract can significantly broaden the range of potential outcomes. When adjustable sell tax is combined with active mint or freeze authorities retained by the owner, the risk profile escalates. In such cases, the owner can not only manipulate exit fees but also inflate token supply or freeze transfers, amplifying the potential for abuse. This combination can be used to artificially suppress liquidity or trap holders, creating a multifaceted exit barrier. Conversely, when adjustable sell tax coexists with robust governance frameworks, clear operational use cases, and the absence of transfer restrictions, it can function as a legitimate tool for dynamic tokenomics, enabling projects to adapt fees in response to market volatility or funding needs without compromising holder rights.

It is critical to recognize that the adjustable sell tax pattern, while structurally concerning, is not a definitive indicator of intent or outcome by itself. The context in which it appears—such as the presence or absence of governance controls, transparency, complementary contract features, and on-chain behavior—plays a decisive role in shaping its risk profile. Analytical rigor demands a holistic assessment that weighs these factors, rather than relying on the presence of adjustable sell tax alone to infer scam intent. This nuanced perspective allows for distinguishing between flexible economic design and exploitative mechanisms that undermine trust and liquidity within token ecosystems.

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 →