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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 2,684 users Direct on-chain reads 🔐 Non-custodial — no wallet connect required Sub-5-second scan 🔗 Solana · Ethereum · Base · Arbitrum · BNB · Polygon · Avalanche 📊 54,559 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

Wallet blacklist monitoring involves the examination of a specific contractual feature within token smart contracts—a blacklist mapping that is typically accessible and modifiable by the contract owner or an authorized role. This mapping functions as a form of permission control, where addresses listed within it are effectively barred from transferring or selling tokens. Technically, this is enforced through require() statements embedded in the token’s transfer functions, which reject transactions initiated by blacklisted addresses. The mere presence of this mechanism, regardless of whether it is actively used, represents a latent capability for transfer restriction that can be invoked at the contract administrator’s discretion.

Unlike global pause or freeze functions that halt token transfers ecosystem-wide, the blacklist mechanism targets specific participants. It serves as a more granular tool that can isolate certain wallets from transacting without impacting others. This distinction is crucial since it means blacklist functions can selectively restrain market liquidity and holder agency in a focused manner. Notably, the existence of an owner-controlled blacklist implies a capacity to selectively impede the exit of particular holders, which can, in some cases, lead to situations resembling honeypots—tokens that can be purchased but not sold by some participants.

The risk implications of wallet blacklist monitoring arise primarily from the nature of control and mutability over the blacklist itself. When the blacklist is mutable and controlled unilaterally by a centralized party without transparency, governance, or safeguards, it introduces a material risk vector. In these scenarios, the project owner or a privileged role can arbitrarily add addresses to the blacklist, thereby trapping funds or disrupting orderly market exits. This potential for misuse can be exploited to create exit barriers for certain holders or groups, effectively undermining trust and liquidity. However, it is important to acknowledge that the presence of blacklist functionality alone does not confirm malicious intent or abusive behavior.

In some token projects, blacklist features are implemented for legitimate operational reasons. These can include regulatory compliance requirements, fraud mitigation, or enforcing project-specific rules that are transparently communicated and subject to community oversight. For instance, selectively blacklisting wallets engaged in illicit activity serves a protective function rather than a predatory one. The key differentiating factor lies in whether blacklist controls are governed by decentralized mechanisms, such as on-chain voting or multisignature wallets with timelocks, versus centralized, opaque administration. Where blacklist control is either fixed post-deployment or constrained by robust governance, the associated risk profile diminishes significantly.

An additional analytical layer involves examining on-chain evidence related to blacklist usage. Monitoring the frequency, timing, and patterns of address additions or removals from the blacklist can offer insights into operational intent and risk magnitude. A blacklist that remains dormant or largely static suggests a theoretical risk that is rarely realized. Conversely, recurrent or seemingly arbitrary blacklisting during periods of market stress or notable token price movement may signal attempts to manipulate liquidity or trap holders. Transparency measures such as publishing governance proposals for blacklist changes, implementing timelocks before updates take effect, or requiring multisignature approval can mitigate such concerns by ensuring that blacklist modifications are subject to oversight and consensus.

Crucially, wallet blacklist risk must be contextualized within the broader liquidity and holder distribution landscape. Tokens paired with thin liquidity pools—those with depths under a certain threshold relative to token market cap—and concentrated holder bases are especially vulnerable. In such environments, blacklist activation can exacerbate liquidity crises by preventing smaller holders from exiting without causing significant price impact. This can foster illiquid sell walls and facilitate price manipulation, creating market dynamics that disadvantage retail participants. Conversely, tokens supported by deep and balanced liquidity pools and a diversified holder base may absorb blacklist-induced transfer restrictions with less disruption, as the market can more readily accommodate forced exits.

The range of practical outcomes stemming from blacklist functionality spans a continuum. At one end, well-governed projects with transparent and accountable blacklist protocols may experience only minor inconveniences when restricting problematic addresses. At the other extreme, opaque or centralized blacklist administration can produce severe exit traps, distort market signals, and erode participant confidence. It is also worth noting that blacklist features intersect with other contract-level permissions, such as minting or pausing authorities, which collectively shape the overall risk profile. Therefore, focusing solely on wallet blacklist monitoring without considering governance quality, liquidity conditions, and broader contract structures provides an incomplete risk assessment.

In sum, wallet blacklist monitoring is a critical component in evaluating token structural risks, especially regarding exit freedom and market integrity. The pattern itself—the presence of an owner-controlled blacklist—does not necessarily indicate malicious intent or abuse. However, its potential to be weaponized against holders mandates rigorous scrutiny of mutability, governance controls, on-chain activity, and liquidity context. Only through this multi-dimensional analysis can the practical implications of blacklist capabilities for token holders and markets be more thoroughly understood.

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 →