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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
🔒 No Signup
⚡ Results in Seconds
🔍 Honeypot detection
💧 LP lock status
👥 Holder concentration
⚡ Solana + EVM
4.7 / 5 from 4,005 users Direct on-chain reads 🔐 Non-custodial — no wallet connect required Sub-5-second scan 🔗 Solana · Ethereum · Base · Arbitrum · BNB · Polygon · Avalanche 📊 52,271 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

Phishing scams involving tokens often hinge on structural contract patterns that enable deceptive control over token transfers or balances. At the core of these scams is the presence of owner-controlled permissions embedded within the smart contract, which can selectively restrict or manipulate user interactions in ways that are not always immediately apparent to token holders. These permissions frequently manifest as whitelist-only transfers, blacklist functions, or transfer freeze capabilities. Such mechanisms give the contract owner the technical ability to block or revert transactions originating from non-approved addresses, effectively trapping tokens within user wallets or preventing sales altogether. This creates an environment where users may unknowingly purchase tokens that they cannot liquidate or move freely, a hallmark of phishing-style scams.

Another central structural element contributing to phishing risk is the retention of mint or freeze authority by a central party. Contracts that allow the owner to mint new tokens at will can artificially inflate token supply, diluting value and misleading investors about the scarcity or market capitalization. Freeze functions can halt all token transfers temporarily or indefinitely, which can be used to manipulate market behavior or prevent token holders from exiting positions. These contract-level controls form the technical foundation for phishing scams by enabling malicious actors to mislead users into acquiring tokens that appear tradable but are effectively immobilized or subject to arbitrary supply changes. The mere presence of these powers, however, does not necessarily confirm malicious intent; they can sometimes be used legitimately for administrative or regulatory compliance purposes.

The risk relevance of these contract permissions becomes particularly acute when they are actively modifiable by a single party without transparent governance frameworks or timelocks. Owner-adjustable sell taxes, for instance, can be raised arbitrarily after token launch, which often correlates with soft honeypot scams. In such scenarios, users can buy tokens at normal or low fees but face prohibitive costs or outright transaction reverts when attempting to sell. This asymmetry effectively traps buyers, undermining market confidence and liquidity. Similarly, whitelist-only exit mechanisms controlled solely by the owner can prevent token holders from selling unless explicitly approved, a pattern that can sometimes be hidden in the contract’s code and only revealed when users attempt to exit positions. While these features raise caution, they can also exist in contracts where permissions have been renounced or transferred to decentralized multisignature wallets, or where restrictions are implemented to meet jurisdictional regulatory requirements. Therefore, the presence of such controls alone does not confirm malicious intent but signals a structural capability that can be exploited under certain conditions.

Additional signals that meaningfully shift the risk assessment include on-chain activity demonstrating the actual use or abuse of these permissions. If historical transaction logs show no evidence of blacklist additions, transfer pauses, or minting events despite the contract having these capabilities, the pattern may be less concerning and could indicate dormant or responsibly managed features. On the other hand, sudden or unexplained transfer halts, wallet freezes, or unexpected supply inflation events without clear operational justification would heighten suspicion of phishing or rug-pull schemes. Transparency around governance is critical; the existence of public timelocks on permission changes or active community oversight can mitigate risk by limiting the owner’s unilateral control. Conversely, opaque governance structures, particularly those relying on single-signature control over critical functions, tend to increase the likelihood that these permissions could be weaponized in phishing scams. While external factors such as audit reports or verified project documentation provide useful context, they cannot substitute for thorough structural inspection and ongoing monitoring of contract behavior.

When these structural contract patterns are combined with other market conditions, the potential for phishing scams to inflict significant financial harm escalates. Tokens with thin liquidity pools relative to their market capitalization or shallow pool depths under certain thresholds are particularly vulnerable. In these cases, owner-controlled mint authority and whitelist-only exit mechanisms can enable rapid price manipulation and trap buyers with limited exit options. The liquidity constraint magnifies the impact of contract-level controls because low pool depth often means users cannot sell large amounts without causing substantial price slippage or triggering contract restrictions. Additionally, upgradeable proxy contracts that lack multisignature or timelock protections can allow sudden and unannounced logic changes, which facilitate phishing-style exploits by altering token behavior post-launch. However, if these permissions coexist with robust governance frameworks, transparent operational use, and sufficient liquidity, the range of outcomes may include legitimate project management rather than outright scams. The interplay between contract-level controls and market conditions ultimately shapes the realistic risk profile of a token.

It is important to emphasize that these patterns, when analyzed in isolation, do not definitively prove malicious intent or confirm a phishing scam. Instead, they highlight structural capabilities that can be misused in phishing schemes under certain conditions. The presence of owner-controlled permissions, mint or freeze authority, and whitelist or blacklist functions should prompt deeper scrutiny of contract activity, governance transparency, and market liquidity dynamics. Only through a holistic assessment of these factors can one approximate the true risk posed by a token’s contract design and operational context. This nuanced approach avoids false positives while identifying tokens where phishing risks are materially elevated due to the convergence of contract controls and unfavorable market conditions.

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 →