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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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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

Contracts linked to memecoin scams on the TON blockchain frequently demonstrate structural patterns designed to restrict token transfers through coded conditional checks embedded within their transfer functions. These restrictions often manifest as require() statements that enforce whitelist-only selling or buying conditions. This mechanism effectively permits token acquisitions while simultaneously preventing sales by addresses not explicitly approved on the whitelist. Such an arrangement creates what is commonly referred to as a honeypot scenario, where the token’s price may appear stable or even appreciating on external price charts, yet holders find themselves unable to liquidate their positions without owner consent. This duality between apparent market activity and actual liquidity access is enabled not by genuine supply-demand dynamics but by programmed constraints baked into the contract logic. Inspections focusing on transfer methods and whitelist management functions can reveal these artificial exit barriers, highlighting mechanical locks on liquidity that circumvent traditional market-based limitations.

The risk associated with this particular pattern escalates notably when the whitelist itself or the sell restrictions remain modifiable by the contract owner after launch. Under such conditions, the deployer gains the power to selectively block sales or remove addresses from the whitelist at their discretion, creating a potent tool to trap investors. This owner intervention capability can be exercised silently and without transparent signaling, leaving holders vulnerable to sudden liquidity freezes. While whitelist controls alone do not necessarily indicate malicious intent—some projects legitimately employ them for regulatory compliance, phased token releases, or controlled distribution—the critical factor lies in the mutability of these controls. If whitelist status is immutable and governed by decentralized mechanisms, the risk of exit blocking diminishes considerably. Conversely, when the owner retains unilateral control over whitelist adjustments, the potential for abuse aligns closely with known scam tactics, amplifying the threat profile.

Additional contract features often compound these risks. The presence of active mint authority under the deployer’s control is a particularly concerning signal. Contracts with unrenounced minting privileges enable the owner to arbitrarily inflate the token supply, diluting existing holders and undermining value. This inflationary capability can be deployed strategically to erode market confidence or to manipulate tokenomics in favor of the deployer. Similarly, contracts that include adjustable sell tax parameters, controllable by the owner post-launch, can function as soft honeypots. By raising sell taxes to prohibitively high levels after initial trading phases, the owner can indirectly prevent sales without a direct transfer block, trapping investors through economic disincentives rather than technical restrictions. Conversely, if a contract explicitly renounces mint authority and fixes sell tax rates at deployment, or if upgrade and permission functions are shielded by multisignature wallets and timelocks, these risks are mitigated. On-chain histories that show little to no utilization of blacklist or pause functions further suggest that these controls are not being weaponized, which can improve the contract’s risk assessment.

The interplay between restrictive transfer patterns and upgradeability mechanisms introduces additional complexity. Proxy contracts that are upgradeable without robust governance controls—such as timelocks or multisig oversight—expand the risk surface significantly. In such cases, the deployer can replace contract logic in a single transaction, potentially introducing malicious code or more restrictive transfer controls at any time. This capability magnifies the impact of existing whitelist or blacklist functions, enabling rapid owner-driven liquidity traps or supply inflations. The potential for sudden, opaque changes to contract behavior undermines trust and increases uncertainty for holders. Conversely, if upgradeability is paired with transparent governance frameworks, fixed permissions, and moderate liquidity pools that resemble legitimate memecoin launches, the associated risks may be substantially lower. The presence of reasonable pool depths, relative to market capitalization, and clear governance signals can indicate a controlled but fair launch mechanism rather than a scam trap.

Liquidity pool characteristics themselves also influence scam risk profiles on TON memecoin projects. Pools with depths under $50,000 or with thin relative liquidity compared to market cap are more susceptible to price manipulation and exit traps, especially when combined with restrictive contract features. Tokens with median pool depths above $100,000 and consistent trading volumes, even on less prominent DEXes like pumpswap, may face reduced inherent risks, although this is not guaranteed. The age of the liquidity pair also matters; newly launched pairs, often less than a month old, can sometimes lack the market maturity to reveal underlying structural vulnerabilities, making early detection vital. On the Solana chain, where most top TON memecoins currently reside, these patterns manifest within an ecosystem that balances fast transaction throughput with relatively nascent regulatory and security oversight, heightening the importance of contract-level scrutiny.

Overall, the structural design of memecoin contracts on TON—especially those incorporating whitelist-based transfer restrictions, owner-controlled minting, adjustable taxes, and upgradeable proxies—creates a nuanced risk landscape. These features can sometimes serve legitimate functions but also provide mechanisms for exit liquidity locking and supply manipulation characteristic of scams. The presence of one or more of these patterns alone does not confirm malicious intent; rather, their combination, mutability, and contextual factors such as liquidity depth and governance architecture shape the true risk profile. Analytical rigor in assessing these contract elements is essential to discerning whether a token’s design is a deliberate scam trap or a controlled release mechanism with built-in safeguards.

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 →