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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
4.6 / 5 from 2,180 users Direct on-chain reads 🔐 Non-custodial — no wallet connect required Sub-5-second scan 🔗 Solana · Ethereum · Base · Arbitrum · BNB · Polygon · Avalanche 📊 54,594 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
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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
🔍
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

A core structural element impacting project safety rankings lies in the presence of owner-controlled transfer restrictions embedded within the smart contract code. These restrictions often manifest as require() statements within the transfer function, enforcing whitelist or blacklist constraints that can dramatically alter token flow dynamics. Mechanically, such conditions allow buy transactions to proceed for most users while causing sell transactions to revert when the sender’s address is not included in the approved whitelist or is explicitly blacklisted. This asymmetry creates a one-way token flow, effectively trapping buyers who find themselves unable to exit their positions through normal transfers. Although the price chart may not immediately reveal this behavior—because buys are processed and liquidity remains available—the sell-side friction only becomes apparent at the moment holders attempt to liquidate, often incurring gas fees for failed transactions. Crucially, this pattern can be identified through static contract analysis alone, without relying on observed trading history, making it a valuable early indicator of structural exit risk.

The risk relevance of this pattern hinges primarily on the mutability of the whitelist or blacklist. If these address lists are owner-modifiable after deployment, the project team retains the ability to selectively block sells or transfers at any time, effectively enabling a soft honeypot mechanism. In such cases, buyers can enter the token ecosystem but cannot exit unless explicitly permitted by the owner, creating a significant exit barrier. This dynamic introduces an asymmetry of power that undermines token holder autonomy and can be exploited to manipulate market behavior or enforce exit restrictions arbitrarily. Conversely, if the whitelist or blacklist is immutable—fixed at launch and not subject to owner changes—this significantly reduces exit risk. In some cases, such restrictions may serve legitimate compliance purposes, such as enforcing KYC/AML requirements or restricting transfers to certain jurisdictions or verified participants. The key analytical distinction, therefore, lies in the post-launch mutability of these lists, as dynamic control preserves the possibility of forced exit blocks, while immutability tends to signal a more stable and predictable transfer regime.

Additional contextual signals play a critical role in refining risk assessments related to transfer restrictions. For instance, if whitelist modifications are governed by a transparent, time-locked multisignature wallet, this imposes procedural friction that can limit sudden or unilateral changes to transfer permissions. Such governance mechanisms inject accountability and reduce the likelihood of arbitrary sell blocks, enhancing trustworthiness. Similarly, the presence of a publicly stated operational rationale for transfer restrictions—such as staged token releases or compliance with regulatory frameworks—can mitigate concern by providing a clear, legitimate context for such constraints. On the opposite end, the detection of owner-controlled adjustable sell taxes or pause functions that can be triggered without community oversight amplifies risk. These features can be combined with whitelist restrictions to further constrict exits, creating layered barriers to liquidity. While on-chain evidence of repeated whitelist modifications or contract freezes strengthens the case for elevated risk, the absence of such history does not eliminate the possibility that these controls could be activated at any time.

When this transfer restriction pattern intersects with other structural features like active mint authority or upgradeable proxy contracts, the potential outcomes become more complex and risk-laden. Contracts that allow the owner to mint new tokens dynamically can, in conjunction with whitelist-only exit permissions, enable the project team to inflate circulating supply selectively. This dilution effect harms existing holders, especially when combined with mechanisms that prevent sales, as it restricts exit options while increasing token supply. Upgradeable proxy patterns introduce another layer of uncertainty, as they permit sudden changes to contract logic without necessarily requiring community approval or time delays. Without adequate timelocks or governance controls, proxy upgrades can tighten transfer restrictions or introduce new exit barriers abruptly, exacerbating risk. However, if these features coexist with robust governance frameworks, transparent operational policies, and fixed whitelist parameters, the pattern may reflect a controlled, benign feature rather than an exploitative one. The interplay between contract mutability, governance oversight, and operational transparency ultimately determines whether these structural capabilities translate into actual exit risk or remain manageable within the project’s risk profile.

Understanding these dynamics is essential when evaluating project safety rankings, as they highlight how contract-level permissions and token flow restrictions can create latent vulnerabilities. While the pattern of owner-controlled transfer restrictions alone does not confirm malicious intent, it establishes a technical foundation that can be leveraged for exit manipulation. The nuanced assessment requires weighing the degree of owner control, the presence of governance safeguards, the transparency of operational rationale, and the interaction with other contract features. This layered analysis is critical to distinguishing between projects that employ transfer restrictions as legitimate compliance or operational tools and those that may use them to entrap holders or extract value unilaterally. In essence, structural transfer restrictions represent a double-edged sword—capable of fostering regulatory alignment or enabling exit barriers—depending on their implementation and governance. Recognizing this complexity is key to producing informed, nuanced project safety rankings that reflect both technical design and operational intent.

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 →