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[ on-chain  ·  solana + evm ]

Rug Pull 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
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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 implement owner-controlled adjustable sell tax parameters represent a structural pattern that can materially affect token liquidity and holder exit options. Mechanically, such contracts embed a variable tax rate applied specifically to sell transactions, a rate that the owner can modify post-launch through privileged functions. This design enables the owner to increase the sell tax suddenly and significantly, potentially making sales prohibitively expensive or economically irrational for holders, while purchases remain unaffected. Detecting this pattern requires a detailed inspection of contract functions managing tax parameters, as price charts alone do not reveal changes in tax structure or magnitude. The presence of adjustable sell tax is a common feature in soft-honeypot designs, where exit liquidity is constrained without outright blocking transfers, subtly undermining holder confidence and freedom.

The risk relevance of adjustable sell tax depends heavily on owner intent and the governance controls embedded within the contract. When the owner retains unilateral authority to raise sell tax without safeguards such as timelocks or multisignature requirements, this pattern can enable sudden liquidity traps that prevent holders from exiting positions at reasonable cost. Such traps can manifest in scenarios where the owner spikes the sell tax during price surges or in response to sell pressure, effectively freezing liquidity and trapping capital. Conversely, if the sell tax is fixed at launch or owner controls are restricted or transparent, the pattern may be benign or even beneficial for project sustainability by funding treasury operations or incentivizing longer-term holding behavior. Some projects employ adjustable sell tax dynamically to respond to shifting market conditions or regulatory compliance requirements, neither of which inherently implies malicious intent. The critical risk factor is the potential for abuse enabled by owner control rather than the mere existence of the adjustable tax parameter itself.

Observing additional contract features or on-chain behaviors can meaningfully shift the risk assessment of adjustable sell tax patterns. For instance, the presence of a timelock or multisignature arrangement on owner functions controlling tax rates would reduce the likelihood of sudden punitive increases, signaling stronger governance frameworks in place. Transparent communication from the project team about tax mechanics, their intended use, and any planned modifications can also mitigate concerns by fostering community trust and reducing uncertainty. Conversely, on-chain evidence of frequent or abrupt tax hikes following periods of rapid price appreciation or volume spikes would increase suspicion of exit blocking tactics. Absence of owner wallet concentration or suspicious liquidity removal events might reduce perceived risk, as these factors often accompany exploitative tax manipulations. Ultimately, the interplay of governance controls, owner behavioral patterns, and community transparency shapes the interpretation and risk profile of adjustable sell tax mechanisms.

The implications of adjustable sell tax become more complex when combined with other contract features or on-chain conditions. For example, coupling adjustable sell tax with whitelist-only exit restrictions can create near-complete exit barriers for non-whitelisted holders, effectively locking liquidity and undermining token fungibility. In cases that match this pattern, holders outside the whitelist may find themselves unable to sell without incurring prohibitive costs or being outright blocked, which can precipitate panic and rapid price collapse once the liquidity dries up. If active mint authority remains in the owner’s hands, the owner could dilute existing holders by minting additional tokens while simultaneously imposing high sell taxes, compounding risk by eroding token value and trapping holders simultaneously. Upgradeable proxy patterns without timelocks or multisignature restrictions allow contract logic to be changed rapidly and unpredictably, potentially introducing or removing these controls at will and thereby destabilizing market expectations.

In some scenarios that combine these features, liquidity removal can occur in a single transaction, followed by rapid price collapse and exit blocking. This pattern exploits the interconnected nature of contract permissions, liquidity pool health, and tax mechanics to engineer effective “rug pull” exits. While the presence of adjustable sell tax alone does not confirm malicious intent, when viewed alongside concentrated owner control, lack of governance safeguards, and suspicious liquidity movements, it forms a structural risk pattern that should be carefully scrutinized. Token holders locked into such arrangements may face severe challenges exiting their positions without incurring excessive costs or losses, highlighting the importance of holistic contract analysis beyond isolated features.

Furthermore, the liquidity pool’s characteristics—such as pool depth relative to market capitalization and holder concentration—interact with adjustable sell tax risks. Thin pools relative to market cap can exacerbate the impact of sudden tax rate hikes by magnifying price slippage and reducing exit liquidity. In contrast, deeper pools may provide some cushion against abrupt liquidity shocks, although they do not eliminate the risk posed by adjustable sell taxes. Holder concentration also plays a role; when a small number of wallets control a large portion of supply, they can coordinate to manipulate tax settings or liquidity in ways that disadvantage smaller holders. Balancing these factors requires nuanced analysis that integrates contract permissions, liquidity metrics, and on-chain behavioral patterns.

In summary, adjustable sell tax mechanisms embedded in token contracts represent a nuanced risk vector that can sometimes be exploited to restrict holder exit options and manipulate liquidity. The pattern itself does not by itself confirm malicious intent but becomes more concerning when combined with unchecked owner privileges, lack of governance controls, opaque communication, and liquidity vulnerabilities. Analytical depth in assessing these patterns involves examining contract code, transaction histories, liquidity pool parameters, and owner behavior collectively, rather than in isolation. This layered approach is necessary to identify tokens where adjustable sell tax features might signal structural vulnerabilities or potential exit scams on decentralized exchanges.

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 →