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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
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⚡ Results in Seconds
🔍 Honeypot detection
💧 LP lock status
👥 Holder concentration
⚡ Solana + EVM
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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

Contracts that attract scrutiny from the best scam detection tools often exhibit structural features that require more than superficial analysis of price trends or trading volumes. These features are embedded within the smart contract’s code and reflect the underlying governance and control mechanisms that shape token behavior over time. One of the most pivotal patterns in this regard is the inclusion of owner-controlled adjustable sell tax parameters. This architectural choice enables the contract owner or privileged address to alter the percentage of tokens deducted as a tax during sell transactions, sometimes after the token has already launched and established initial trading patterns.

From a mechanical standpoint, the presence of adjustable sell tax is typically identifiable by the existence of setter functions or modifiable state variables within the contract’s codebase. These functions allow the owner to change the tax rate at will, without requiring consent from token holders or a decentralized governance process. This creates a latent risk: a sudden spike in sell tax can impose prohibitive costs on traders attempting to exit, effectively trapping funds within the token ecosystem. The potential for such an outcome is significant because it converts an initially liquid asset into what can be described as a soft honeypot—one where selling is economically disincentivized or practically blocked, but not through outright transfer prohibitions.

The risk significance of this pattern is not absolute; it is contingent on the context surrounding owner control and the presence (or absence) of mitigating safeguards. When contract ownership remains intact and unrestricted post-launch, the owner retains the capacity to raise sell taxes arbitrarily and unexpectedly. This unilateral power over exit costs can serve as a mechanism for exit scams or to exert coercive control over holders, particularly in tokens lacking transparent communication or community oversight. However, the mere presence of adjustable sell tax does not necessarily indicate malicious intent. In some cases, projects justify this functionality as a flexible tool to adapt to evolving market conditions, fund development initiatives, or respond to liquidity needs. These justifications hinge on the existence of transparent operational policies and, importantly, technical constraints that prevent abuse.

Safeguards such as timelocks, multisignature wallets, or decentralized governance protocols can materially alter the risk profile of adjustable tax mechanisms. Timelocks impose a delay between the initiation of a tax change and its enforcement, providing holders with advance notice and the opportunity to react. Multisig controls distribute authority across multiple parties, reducing the likelihood of unilateral and malicious tax hikes. Community governance mechanisms further democratize control by enabling token holders to vote on tax changes, aligning economic incentives and reducing the potential for abuse. Absent these mechanisms, adjustable sell tax remains a high-risk feature, as it grants a single actor disproportionate influence over liquidity and market behavior.

Complementing the analysis of sell tax parameters, the presence of whitelist-only exit mechanisms or active blacklist functions compounds the risk assessment. Contracts that restrict transfers or sales to pre-approved addresses can effectively lock out a broad swathe of holders from exiting their positions. Such restrictions exacerbate liquidity risk by narrowing the pool of potential buyers and sellers, which can precipitate price instability or sudden collapses. Conversely, contracts that have renounced ownership or feature immutable tax parameters tend to demonstrate lower risk, as they eliminate the possibility of owner-initiated, post-launch changes that could impair token exit liquidity. Similarly, proxy upgradeability without timelocks or multisig controls introduces additional vulnerabilities, as it allows an owner to replace the contract’s logic with malicious code, potentially introducing new constraints or extracting value under false pretenses.

The interplay of adjustable sell tax with other control features such as active mint authority, freeze functions, and pause mechanisms further complicates the risk landscape. Active mint authority enables the creation of new tokens at the owner’s discretion, which can dilute existing holders and undermine token value if used irresponsibly. Freeze functions can selectively block transfers for specified addresses, which, when combined with adjustable sell tax, can trap holders and prevent market exits. Pause functions can temporarily halt all transfers, creating forced liquidity lockups until the owner resumes operations. These functionalities, when orchestrated together, provide a powerful toolkit that can be weaponized to orchestrate exit scams or enforce restrictive market conditions. Historical patterns show that rapid liquidity removal followed by price collapses often coincide with contracts exhibiting this combination of features.

Nonetheless, it is critical to acknowledge that these patterns do not inherently confirm malicious intent or fraud. In governance-driven projects, such controls may be deliberately designed to enhance security, comply with regulatory requirements, or respond to extraordinary market events. For instance, pause functions can be employed to mitigate the impact of exploits or vulnerabilities. Active minting, when governed transparently, can support ecosystem growth or reward mechanisms. The analytical challenge lies in distinguishing between responsible stewardship and opportunistic control. This distinction requires a nuanced examination of contract code, governance structures, historical behavior, and communication with the community.

In sum, the best scam detection tools prioritize structural contract analysis over superficial market signals because the true locus of risk is embedded in the code that governs token behavior. Adjustable sell tax parameters represent a key structural pattern whose risk profile depends heavily on ownership controls and complementary contract features. When combined with whitelist restrictions, minting authority, freeze, and pause capabilities, the range of potential outcomes broadens, underscoring the importance of multi-dimensional analysis. While these patterns signal areas of concern, their presence alone does not definitively prove malicious intent, emphasizing the need for careful, context-aware interpretation in token risk assessment.

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 →