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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
4.6 / 5 from 3,622 users Direct on-chain reads 🔐 Non-custodial — no wallet connect required Sub-5-second scan 🔗 Solana · Ethereum · Base · Arbitrum · BNB · Polygon · Avalanche 📊 54,704 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.
$5.6BFBI crypto losses 2023
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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

Fresh wallet risk is fundamentally concerned with the structural characteristics of newly created or recently activated blockchain addresses that lack a substantive transaction history and established on-chain reputation. At a glance, such wallets might seem neutral or even carry positive connotations, as they often represent fresh participants entering the crypto ecosystem with legitimate intentions. Yet, this superficial neutrality masks a core challenge: the absence of historical behavioral data introduces a significant informational asymmetry. This gap makes it inherently difficult to differentiate between genuine newcomers and actors who may be orchestrating scams, phishing attempts, or rapid asset extraction schemes. Simply put, wallet age or transaction count by themselves offer limited predictive power, as fresh wallets can serve either as innocent entry points or as instruments of potentially harmful activity.

One of the most analytically pivotal aspects when evaluating fresh wallet risk is the control exercised over the private key associated with the address. This control mechanism is straightforward but critical: ownership of the private key grants unrestricted authority to move or spend any assets held by that wallet. Because blockchain protocols generally lack any built-in recovery or reset mechanisms for private keys, once compromised, control and ownership of funds are irreversibly lost. This is especially consequential for fresh wallets, which are often generated via automated scripts or through phishing campaigns that target users to unknowingly reveal their keys. The security practices surrounding the initial generation and custody of the private key thus play an outsized role in shaping the risk profile. If the private key was generated securely, stored offline, and kept confidential, the risk is mitigated. However, if it was generated in a compromised environment or shared insecurely, the wallet becomes an immediate target for exploitation.

The interaction between wallet control and network-specific factors further nuances the analysis of fresh wallet risk. Transaction fee structures across different blockchain networks significantly influence the economic feasibility of certain attack vectors. On low-fee networks, the cost to execute a large number of small transactions is minimal, which can facilitate high-frequency spam or rapid draining of fresh wallets before any monitoring or intervention occurs. This economic accessibility effectively lowers the barrier for attackers to test stolen or compromised wallets without incurring prohibitive costs. Conversely, high-fee networks impose a natural friction against such rapid, repeated transactions. While this does not eliminate risk, it raises the operational cost for malicious actors, potentially deterring low-return exploits.

Wallet security architectures also play a critical role in shaping the risk landscape. Single-signature wallets, which require only one private key to authorize transactions, present a single point of failure. This simplicity can be advantageous for ease of use but simultaneously increases vulnerability, especially for fresh wallets with no transaction history or reputation buffers. In contrast, multisignature (multisig) wallet models introduce operational complexity by requiring multiple private keys to sign any transaction. This design inherently reduces the risk of compromise since an attacker would need to breach multiple key holders. However, the added complexity can slow down legitimate response times and may not be practical for all users or applications. In the context of fresh wallets, multisig arrangements can materially alter the risk profile, introducing a layer of resilience that single-signature fresh wallets lack.

It is important to emphasize that fresh wallet risk should be understood as a structural vulnerability tied to the opacity and control associated with new addresses, rather than as an intrinsic flaw of the wallets themselves. Many fresh wallets are entirely benign, representing new users, project launches, or strategic operational wallets set up by trusted entities. The existence of a fresh wallet alone does not imply malicious intent or inevitable loss. Instead, risk becomes tangible when this pattern is combined with other factors such as poor key management practices, low transaction fees enabling rapid exploitation, or the absence of multisig or other security safeguards. Contextualizing fresh wallet risk thus requires an appreciation of the broader environment, including user behavior patterns, network economics, and the operational security measures in place.

In practical analytical terms, fresh wallet risk signals uncertainty rather than definitive fraud or asset loss. It highlights a gap in historical behavioral data that can be exploited by malicious actors but also serves as a natural phase in the lifecycle of any blockchain ecosystem as new participants continuously enter. The challenge lies in distinguishing between these possibilities using additional signals or heuristics, such as monitoring transaction patterns, wallet interaction with known contracts or entities, and the nature of asset flows. Recognizing that fresh wallet risk is a probabilistic factor rather than an absolute condition allows for a more nuanced and effective approach to managing exposure, whether in automated risk scoring models or manual due diligence processes.

Ultimately, fresh wallet risk encapsulates the tension between innovation and security in decentralized systems. The permissionless nature of blockchain networks enables rapid creation and activation of new addresses, which drives growth and inclusion. Yet, this openness also creates an environment where the absence of reputational history and control over private keys can render fresh wallets susceptible to exploitation. Understanding the interplay of these factors—and the varying costs and complexities across different chains and wallet architectures—is essential for any thorough assessment of fresh wallet risk.

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 →