Verify every token before you buy Unlimited checks · $3.99/wk · Cancel anytime
Get Unlimited
Swap on Verixia
[ 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
4.9 / 5 from 2,526 users Direct on-chain reads 🔐 Non-custodial — no wallet connect required Sub-5-second scan 🔗 Solana · Ethereum · Base · Arbitrum · BNB · Polygon · Avalanche 📊 60,238 risk checks run
Live
🔍 On-chain read ⚡ Seconds ✓ No signup
>_
Enter the full token contract address for the most accurate on-chain analysis
No address? Try a popular check:
1 free check · Unlimited from $3.99/wk
No signup required · Results in seconds
Unlimited checks from $3.99 / week · Cancel anytime
Use the same email entered during checkout to restore access
Unlimited token checks active

Unlimited Token Risk Checks

Verify every contract before buying. Honeypot detection, LP lock analysis, and holder concentration reviews across Solana and EVM.
$5.6BFBI crypto losses 2023
$1B+FTC losses 2023
<5sper contract scan
Best Value -- Save 80%
Yearly Access
$39.99 / yr  ·  $3.33/mo
Popular
Monthly Access
$11.99 / month
Try it -- no commitment
Weekly Access
$3.99 / week · cancel anytime
SSL Secured Stripe Cancel anytime No hidden fees
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.
Token verified? Swap at best price.
Route across Raydium, Orca, Meteora & 50+ DEXes — non-custodial, no KYC
Swap on Verixia →
SOL ETH BASE ARB BNB AVAX Powered by Verixia

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

Contracts that incorporate an owner-controlled adjustable sell tax parameter reveal a nuanced structural pattern within crypto token mechanics, where the rate imposed on sell transactions can be modified dynamically after the token’s initial launch. Technically, this functionality is typically implemented via a setter function that updates a specific sell tax variable. The contract’s transfer or sell function then references this variable to calculate fees deducted from holders attempting to exit their positions. While this mechanism can serve legitimate economic purposes, it also introduces a latent risk vector: the contract owner retains the ability to alter the sell tax at any moment, effectively controlling the cost of selling—or in some cases, preventing it altogether—without outright halting transfers.

The presence of such an adjustable sell tax function does not by itself indicate malicious intent; however, it establishes a framework conducive to creating soft honeypot scenarios. In these cases, buyers may enter the market under the assumption that trading operates normally, only to encounter prohibitively high sell taxes when attempting to exit, thus trapping capital in the token. This pattern is particularly risky when the owner maintains unrestricted authority to raise the sell tax post-launch with no credible commitment mechanisms such as renouncing ownership or instituting multisignature timelocks. Under these conditions, the token’s price and liquidity charts might appear innocuous until a sudden tax increase severely restricts exit options, a dynamic invisible without direct contract inspection.

From an analytical standpoint, detecting this pattern requires careful examination of the contract’s source code or Application Binary Interface (ABI), as observable market data like price or volume fluctuations do not reliably reveal adjustable tax authority. Key indicators include owner-only functions that mutate tax parameters and the absence of immutable tax rates or governance controls. While the adjustable sell tax pattern has several benign use cases — including dynamic liquidity management, incentivizing holding during volatile periods, or funding ongoing development through variable fees — its inherent risk lies in the lack of transparency and control decentralization. Tokens that publicize fixed rates or incorporate decentralized governance mechanisms over tax changes mitigate this risk, as they reduce the likelihood of unilateral punitive adjustments.

Elevating the analytical lens, this pattern often does not exist in isolation. It can be compounded by other contract features such as whitelist-only exit mechanics or owner-callable blacklist functions. These additional mechanisms can materially heighten exit risk by restricting who can sell at all, thereby amplifying the soft honeypot effect created by adjustable sell taxes. For instance, if the contract owner can blacklist addresses, they could selectively disable exit for certain holders even if the sell tax remains moderate. Conversely, if sell tax adjustment requires approval from a decentralized autonomous organization (DAO) or involves multi-party consensus, this indicates stronger governance controls and lowers the risk that the owner could exploit the tax parameter to trap investors.

Another layer of complexity emerges when contracts include owner-activated pause functions, which can forcibly halt selling or transfers. Such a feature, combined with adjustable sell tax controls, creates a powerful toolkit for exit manipulation, allowing the owner to toggle between soft and hard exit barriers dynamically. Transparent and auditable governance frameworks, along with clear communication about the mechanisms controlling sell taxes, are therefore critical contextual elements that shift the assessment away from suspicion and toward operational normalcy.

Liquidity pool depth and upgradeability patterns further influence the risk profile associated with adjustable sell taxes. Tokens launched with shallow liquidity pools relative to their market capitalization are inherently more vulnerable, as low pool depth facilitates rapid price swings and liquidity removal. In scenarios where the contract employs proxy upgrades without timelocks or multisignature safeguards, the owner could swiftly implement changes that raise the sell tax and remove liquidity in a tightly controlled sequence, effectively trapping holders before they can react. Observed launch patterns that match this profile often exhibit price charts that appear normal initially, only to reveal a sudden exit barrier once the tax parameter is adjusted upward, characteristic of soft honeypot behavior.

However, these negative outcomes are not deterministic. Contracts that renounce ownership of sell tax controls, establish multisignature governance, or implement transparent, immutable tax rates sharply reduce the potential for abuse. Robust liquidity pools and strong community oversight further dilute exit manipulation vectors. This underscores the importance of comprehensive analysis that evaluates contract code, governance structures, pool metrics, and token distribution holistically rather than relying on isolated signals. The adjustable sell tax pattern serves as a warning flag but must be contextualized within the broader token ecosystem to differentiate between cautionary patterns and exploitable schemes.

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

🔒
Non-custodial Your wallet keys never leave your device. Funds move directly between wallets through the smart contract — Verixia holds nothing.
No account required No sign-up, no KYC, no email. Connect your wallet and swap. Disconnect at any time — no ongoing permissions required.
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 →