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[ on-chain  ·  solana + evm ]

Rug Pull Risk Check

Review the liquidity lock status, holder concentration, and contract permissions before committing to a position.

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
4.6 / 5 from 3,606 users Direct on-chain reads 🔐 Non-custodial — no wallet connect required Sub-5-second scan 🔗 Solana · Ethereum · Base · Arbitrum · BNB · Polygon · Avalanche 📊 46,144 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
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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 incorporating blacklist functionality introduce a structural pattern that can sometimes present nuanced risk factors in the crypto token ecosystem. At its core, the blacklist mechanism typically involves a contract mapping that flags specific wallet addresses as ineligible to send or receive tokens. The transfer functions within the contract enforce this restriction by reverting transactions where either the sender or recipient appears on the blacklist. Importantly, this pattern can be identified through static contract analysis without requiring observation of live on-chain activity, providing an early signal for potential risk assessment. However, the mere presence of a blacklist mechanism alone does not inherently indicate malicious intent or misuse; rather, it defines a gatekeeping capability held by the contract owner or a designated authority, whose exercise of this power remains subject to the governance structure and transparency of the project.

The risk implications of blacklist-enabled contracts depend heavily on the nature and extent of owner control. If the owner retains unrestricted and opaque authority to modify the blacklist at will, this capability can become a potent tool for arbitrary or sudden intervention in token holder activity. In cases that match this pattern, blacklisting can be wielded to freeze liquidity providers or sellers, effectively trapping investor funds and undermining market confidence. This dynamic can facilitate forced exits or rug pulls by preventing token transfers, thereby enabling the owner to manipulate liquidity or exit the project under duress. Conversely, the blacklist function can serve legitimate operational purposes, such as enforcing regulatory compliance, preventing fraud, or mitigating malicious actors, particularly when its application is transparent and governed by robust, multisignature controls or time-locked mechanisms that restrict unilateral blacklisting.

Evaluating the practical risk posed by blacklist functions thus requires a holistic view of contract governance and operational transparency. On-chain evidence of blacklist usage—such as failed transactions due to blacklisting or public reports documenting blocked holders—shifts the risk profile upward, signaling that the blacklist tool is actively shaping token mobility in ways that may disadvantage certain participants. In contrast, contracts embedding governance frameworks that limit or audit blacklisting actions tend to mitigate the latent risks. Public commitments by project teams to refrain from arbitrary blacklist enforcement can also reduce concerns, though such assurances inherently rely on trust and verifiable adherence. Additional contract features, such as pause or freeze functions, upgradeable proxy patterns lacking timelocks, or other owner privileges, interact with blacklist capabilities to either compound or alleviate risk. For instance, a contract with multiple overlapping owner controls but lacking transparent governance can create a complex risk surface where blacklisting is but one vector among many for potential fund entrapment or market manipulation.

Liquidity conditions further modulate the implications of blacklist functionality. When combined with thin liquidity pools—characterized by shallow depth relative to market capitalization or daily trading volume—the capability to blacklist addresses can exacerbate market fragility. In such environments, even a small number of blocked sellers or frozen liquidity providers can trigger sharp price movements, increased slippage, and pronounced illiquidity. This can leave investors unable to exit positions, amplifying losses and intensifying volatility. In contrast, tokens with deep liquidity pools and a broadly distributed holder base may experience muted effects from blacklisting isolated addresses, as market dynamics can absorb such disruptions more effectively. The interplay between blacklist controls and liquidity depth thus shapes the spectrum of possible outcomes, ranging from minor operational interruptions to severe liquidity crises or orchestrated exit scams.

It is critical to acknowledge that the presence of blacklist mechanisms and associated contract permissions alone do not confirm malicious intent or guarantee negative outcomes. These patterns must be contextualized within the broader governance framework, owner behavior, market conditions, and transparency levels. In some cases, blacklists may be employed judiciously to preserve ecosystem integrity without materially harming token holders. In others, the combination of blacklist authority with opaque owner control and shallow liquidity pools creates conditions conducive to exploitative behavior and investor harm. This complexity underscores the importance of multi-dimensional analysis when interpreting rug pull reports or similar risk signals related to blacklist functions in token contracts.

Furthermore, the dynamic nature of decentralized finance means that blacklist risk profiles can evolve post-deployment. Owner permissions may be renounced or locked, governance mechanisms may be introduced or strengthened, and liquidity profiles may shift due to market activity or project developments. Therefore, a snapshot analysis of blacklist patterns must be supplemented by ongoing monitoring of contract upgrades, owner behavior, and liquidity metrics to accurately assess risk trajectories. This continuous vigilance is particularly pertinent in markets dominated by recently launched tokens with short pair ages, where governance structures and liquidity conditions remain fluid and susceptible to rapid change.

In summary, blacklist functionality represents a structural contract pattern with both operational utility and latent risk, contingent on owner control, governance transparency, and liquidity context. While not inherently indicative of malicious intent, blacklist capabilities can sometimes serve as instruments of fund entrapment and market manipulation, especially when combined with unrestricted owner authority and shallow liquidity pools. Careful, nuanced analysis of contract code, on-chain activity, governance mechanisms, and market dynamics is essential to distinguish benign uses from scenarios that may culminate in rug pulls or liquidity crises.

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 →