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[ on-chain  ·  solana + evm ]

Token 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
🔒 No Signup
⚡ Results in Seconds
🔍 Honeypot detection
💧 LP lock status
👥 Holder concentration
⚡ Solana + EVM
4.9 / 5 from 2,011 users Direct on-chain reads 🔐 Non-custodial — no wallet connect required Sub-5-second scan 🔗 Solana · Ethereum · Base · Arbitrum · BNB · Polygon · Avalanche 📊 67,305 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
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

Solana programs, as distinct from traditional smart contracts on some other blockchain platforms, often rely on a deployment and upgrade mechanism that can initially appear immutable but is, in fact, potentially mutable through proxy upgrade patterns. This architectural design means that while the program’s code is permanently recorded on-chain, the authority to upgrade or change that code can reside off-chain or with a designated key holder. At first glance, the code’s apparent immutability can mislead observers into assuming the program’s logic is fixed and unalterable. However, the reality is that the upgrade mechanism can permit changes long after the initial deployment, creating a subtle but significant risk vector. This discrepancy between perceived immutability and underlying mutability is a critical structural feature that requires deep inspection of the program’s upgrade authority and governance processes to fully understand the risk profile.

A key analytical focus in assessing Solana program risk is the control and management of the private keys tied to the program upgrade authority. These keys effectively govern the program’s future behavior, including the capacity to introduce new code or alter existing logic. Because these keys represent a single point of control and therefore a single point of failure, their security posture greatly influences the program’s overall risk. If the upgrade keys are compromised, lost, or misused, the program can be changed in ways that undermine user confidence, disrupt services, or facilitate malicious exploits. Moreover, the lack of a robust recovery mechanism for lost or stolen upgrade authority keys amplifies this risk, as control cannot be reclaimed without the original key holder’s cooperation. Understanding who holds these keys, how securely they are managed, and whether multisignature (multisig) arrangements are in place can materially shift the risk assessment. For instance, the involvement of multisig wallets, which require multiple parties to approve upgrades, can reduce the likelihood of unilateral malicious actions but introduces operational complexity and potential coordination delays.

The interplay between Solana’s low transaction fees and multisig wallet configurations further shapes the operational security landscape of these programs. Solana’s low fees enable frequent, low-cost interactions with programs, which can enhance user experience and foster active ecosystems. However, this same feature also lowers the economic barrier for spam or denial-of-service attacks, potentially making certain attack vectors more feasible. When multisig wallets control the upgrade authority, the security model becomes more resilient, as changes require consensus among multiple signatories. Yet, this setup can slow decision-making processes and limit rapid responses in emergency situations, illustrating a trade-off between operational agility and security. This dynamic creates a nuanced environment where developers and users must balance the competing priorities of usability and robust governance.

It is important to emphasize that the existence of upgradeable Solana programs does not inherently imply malicious intent or an elevated risk profile. Many legitimate projects employ proxy upgrade patterns to address bugs, introduce new features, or adapt to evolving user requirements post-launch. This approach can be a practical necessity, especially in fast-moving or experimental environments. The risk emerges primarily when upgrade authority is excessively centralized, keys are inadequately secured, or when audits do not thoroughly evaluate the upgrade mechanisms themselves. If the upgrade process is transparent, governed by multisig or decentralized mechanisms, and accompanied by clear communication to stakeholders, the risk can be substantially mitigated. Conversely, if the upgrade path is opaque or controlled by a single individual or entity without checks and balances, it becomes a vector for potential exploitation or abuse. Recognizing this duality is essential for realistic and nuanced risk modeling within the Solana program ecosystem.

Further complexity arises from the broader ecosystem context in which Solana programs operate. The median pool depth for tokens on Solana DEXes can sometimes be relatively shallow compared to market capitalization, which may amplify the impact of any sudden program upgrades or behavioral changes. In cases where liquidity pools are under $150,000 and market caps hover around a few million dollars, even minor alterations to program logic can result in outsized volatility or loss of user funds. This structural liquidity characteristic indirectly affects program risk, as it heightens the consequences of any upgrade-related exploit or mismanagement. Additionally, the relative youth of many tokens on Solana DEXes—often less than two months old—means that upgrade mechanisms might still be in flux or subject to change, increasing uncertainty around governance and future program behavior.

Lastly, the broader governance framework and communication transparency surrounding Solana programs play a crucial role in modulating risk perception. Programs that openly disclose upgrade authority holders, maintain public audit trails of upgrades, and engage with their communities create a more predictable and trustworthy environment. In contrast, projects that do not provide clear information on upgrade procedures or key management introduce ambiguity that can sometimes mask underlying vulnerabilities. While the proxy upgrade pattern itself does not confirm malicious intent, its presence combined with poor governance or secrecy can be a signpost for elevated risk. Therefore, a comprehensive evaluation of Solana program risk must consider not only the technical upgrade mechanisms but also the governance structures, transparency practices, and ecosystem liquidity context in which these programs function.

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 →