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[ on-chain  ·  solana + evm ]

Token Risk 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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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

Tokens linked to what is often described as a "fake Bybit listing" scenario typically exhibit a confluence of misleading promotional claims and contract-level mechanisms that impose stringent transfer restrictions, particularly impacting liquidity exit. Central to this pattern is the implementation of whitelist-only exit controls embedded within the token’s smart contract. Mechanically, these controls manifest as conditional checks in the token’s transfer function—most notably, require() statements—that restrict sell or transfer actions solely to addresses pre-approved by the contract owner. This design allows unrestricted purchase activity from any participant, but severely curtails or outright blocks the ability of non-whitelisted holders to offload their tokens or move them freely on-chain, effectively trapping capital within the token ecosystem.

This structural pattern can be identified without executing trades by conducting a thorough inspection of the contract code, focusing on transfer function modifiers and whitelist mappings. Such static analysis reveals the presence of owner-controlled functions that permit dynamic adjustment of the whitelist, which is a critical feature enabling the owner to selectively govern who can exit the token. The ability to add or remove addresses from the whitelist post-launch introduces a significant asymmetry in exit rights, granting the owner near-exclusive control over liquidity flow out of the token, which can sometimes be exploited to the detriment of most holders.

The risk profile of whitelist-only exit patterns hinges heavily on the mutability and transparency of whitelist governance. If the whitelist is owner-modifiable and lacks clear, objective criteria for inclusion, this creates an environment where the owner can arbitrarily block selling by the majority of holders while enabling privileged wallets, possibly controlled by insiders or early participants, to exit freely. This selective permissioning effectively creates a honeypot mechanic, where uninformed buyers become trapped, unable to liquidate their holdings except through channels controlled or approved by the owner. Yet, it is important to acknowledge that the presence of whitelist-only exit restrictions alone does not confirm malicious design intent. There are legitimate contexts—such as regulatory compliance measures or phased token distribution strategies—where whitelist restrictions are implemented transparently, immutably, or tied to verifiable off-chain criteria. In those cases, the pattern can function as a legitimate control mechanism rather than a predatory trap. The key distinction lies in whether the whitelist is immutable and openly documented versus dynamically controlled without accountability.

Further complicating the risk landscape are additional contract authorities that can coexist with whitelist exit restrictions. An active mint authority, for example, grants the issuer the capability to expand token supply arbitrarily post-deployment. When combined with transfer restrictions, this can lead to significant holder dilution and exacerbate exit challenges, as newly minted tokens can flood the market or be allocated selectively to favored parties. Similarly, an active freeze authority allows the owner to suspend transfers from specific addresses at will, effectively blacklisting individual holders and tightening exit control. Both mint and freeze functions serve as potent tools that, when wielded without transparent governance, can amplify the risk of abusive exit barriers and market manipulation.

The presence of upgradeable proxy contract patterns without robust safeguards such as timelocks or multisignature controls further escalates risk. Upgradeable contracts permit modifications to core logic post-deployment, including the introduction or removal of whitelist restrictions, minting abilities, and freeze functions. Without stringent controls, owners can abruptly alter the token’s fundamental exit mechanics, catching holders off-guard and potentially invalidating prior assurances about liquidity or transferability. Additionally, owner-controlled adjustable sell taxes can compound exit friction by imposing variable transaction fees that selectively penalize sellers, further deterring liquidity exits and depressing market activity.

When whitelist-only exit restrictions intersect with other market structural factors, such as thin liquidity pools and cliff vesting schedules for large token allocations, the resulting dynamics tend to produce sustained downward price pressure rather than sudden crashes. Thin liquidity pools—those with depths significantly below median levels relative to market cap—lack the resilience to absorb concentrated sell flows. In cases matching this pattern, trapped buyers who are not whitelisted may attempt to liquidate their holdings through the limited set of approved wallets, causing these wallets to dump tokens into shallow pools. This concentrated selling pressure can depress prices gradually over an extended period, creating a persistent sell wall that undermines market confidence and deters new liquidity provision.

If combined with active mint or freeze authorities, the owner gains additional tools to manipulate market conditions. For instance, selective freezing of wallets can be employed to stifle selling from certain holders, managing the flow of tokens to maintain price stability or preserve liquidity control. Arbitrary minting can inflate supply as a means to dilute holders who attempt to exit, or to create new reserves for liquidity manipulation. These layered controls can prolong negative price trends and exacerbate liquidity crises.

Conversely, the risk impact is mitigated when whitelist rules are immutable and transparent from inception, and liquidity pools maintain depths that are healthy relative to market capitalization. In such scenarios, token holders can evaluate transfer restrictions upfront and factor them into investment decisions. Deep liquidity pools provide sufficient buffer to absorb sell pressure without excessive volatility, and immutable whitelist controls prevent the owner from arbitrarily altering exit conditions. Under these conditions, whitelist-only exit mechanisms may serve legitimate operational or regulatory purposes without posing undue risk to holders.

In summary, the "fake Bybit listing" pattern is characterized by a combination of promotional misdirection and contract-level exit restrictions that can trap liquidity. While these structural elements alone do not definitively indicate malicious intent, the interplay of owner-controlled dynamic whitelist permissions, additional authoritative controls like mint and freeze functions, upgradeability without safeguards, and market factors such as shallow liquidity and vesting cliffs collectively shape the token’s risk profile. Analytical rigor requires evaluating each of these factors holistically to understand the potential for exit manipulation and liquidity entrapment within tokens exhibiting this pattern.

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 →