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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
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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
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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
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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

A foundational aspect commonly scrutinized during a shitcoin scam check pertains to transfer restrictions explicitly coded into the token’s transfer() function. In particular, the honeypot pattern manifests when this function incorporates a require() statement that denies transfers or sells from addresses not included on a whitelist, while permitting buys to proceed unhindered. Mechanically, this creates an asymmetric permission structure: buyers can acquire tokens with apparent normalcy, but selling or transferring tokens out is blocked for any participant not pre-approved by the contract owner. This restriction can result in trapped capital, as holders outside the whitelist find themselves unable to liquidate their positions despite active trading activity and seemingly healthy liquidity pools. The token’s price chart may appear typical, with frequent buy transactions, but the underlying mechanics prevent exit, which is a hallmark of a soft honeypot structure. Importantly, this pattern can be identified through static contract inspection alone, without engaging in any trading activity, since the logic explicitly enforces selective transfer permissions.

The risk implications of this transfer restriction pattern hinge critically on the mutability of the whitelist controlling sell permissions. If the whitelist is modifiable by the contract owner or another privileged party after launch, this creates a vector for dynamic control over who may exit the token. In such scenarios, the owner retains the power to arbitrarily block or unblock addresses, enabling potential exit scams or forced forced holding of tokens. This dynamic capability to trap sellers on demand is what elevates the pattern from a mere operational control to a significant risk factor. Conversely, if the whitelist is immutable—meaning it cannot be changed after deployment—or if the owner has renounced control over it, the pattern alone does not necessarily indicate malicious intent. Instead, it may serve legitimate operational purposes, such as anti-bot measures during launch phases or regulatory compliance mechanisms. Some projects employ whitelists to facilitate phased token releases or to comply with jurisdiction-specific restrictions, which can justify such transfer constraints in a non-nefarious context. The critical distinction rests on whether the whitelist’s mutability enables ongoing, discretionary blocking of sellers, thereby preserving an exit-block capability.

Further analytical depth arises when considering additional contract features in conjunction with transfer restrictions. The presence of an adjustable sell tax, for example, controlled by the owner, can exacerbate risk by allowing sudden and punitive fees on sales. This can deter or economically punish holders attempting to exit, effectively functioning as a financial trap without outright blocking transfers. Similarly, contracts with active mint authority that is neither time-locked nor transparently justified introduce inflationary risk. The owner could mint large quantities of tokens post-launch, diluting the holdings of existing investors unexpectedly. This minting capability, when paired with transfer restrictions, can be part of a broader toolkit for value extraction. On the other hand, contracts that include upgrade mechanisms secured by multisignature controls or timelocks tend to reduce risk by limiting the owner’s ability to enact arbitrary changes. Historical on-chain evidence of blacklist or pause functions being used without corresponding market or governance events can also signal hidden exit-block tactics. Conversely, transparent governance protocols and renounced permissions decrease suspicion and suggest more benign operational intentions.

The interplay of these permissions creates a spectrum of possible outcomes, ranging from cautious risk management to outright scams. When the whitelist-only exit restriction combines with owner-controlled adjustable sell taxes and upgradeable proxies lacking strong governance safeguards, it forms a potent framework for soft honeypots. In such cases, the owner can dynamically trap sellers and extract value through layered mechanisms, such as blocking sells, imposing heavy taxes, or minting new tokens to dilute holders. The addition of active freeze or blacklist authorities further heightens the risk by enabling wallet-level freezes or forced exit blocks without prior notice or community oversight. This constellation of features forms a structural pattern often associated with exit-scam mechanics. Conversely, if these permissions are renounced or governed by decentralized multisigs with transparent processes, the pattern may simply reflect legitimate operational controls designed to manage risk or comply with regulations.

It is essential to emphasize that the mere presence of transfer restrictions, whitelists, or minting capabilities alone does not confirm malicious intent or guarantee a scam. These patterns serve as signals that warrant deeper scrutiny rather than definitive proof. Contextual factors such as the project’s stated purpose, governance transparency, and historical on-chain behavior must be integrated into the assessment. The structural patterns analyzed here provide a framework for identifying potential risk vectors but do not operate in isolation. In some cases, what appears to be a honeypot or restrictive mechanism may be part of a carefully designed compliance layer or gradual rollout strategy.

Hence, a thorough shitcoin scam check requires not only identifying these structural risk patterns but also interpreting them within the broader operational and governance context. The nuanced interaction of contract permissions, liquidity dynamics, and holder concentration shapes the ultimate risk profile. For instance, thin liquidity pools relative to market cap or high holder concentration combined with these restrictive patterns can amplify exit risk. Conversely, balanced liquidity and decentralized control mechanisms may mitigate the potential for abuse. This layered analytical approach enhances the ability to distinguish tokens that function as legitimate projects employing restrictive controls from those engineered as traps designed to ensnare unsophisticated investors.

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 →