BONK · exact Solana mint
Mint and freeze authorities observed revoked; 20 largest token accounts inspected; top-1 share 8.8306% and top-10 share 38.8537%; 25 market pairs and 3 DEXes observed.
Inspect BONK evidence →CRYPTO RISK GUIDE
Rug pull: warning signs to check before acting
No single indicator can prove that a token is safe or that a rug pull will happen. A sound approach combines several observations and makes uncertainty visible.
Concrete Solana evidence examples — not a rug-pull verdict
Observed at 2026-09-22T04:41:51Z. Values are time-bound and may change.
WIF · exact Solana mint
Mint and freeze authorities observed revoked; 20 largest token accounts inspected; top-1 share 13.7245% and top-10 share 43.4765%; 21 market pairs and 3 DEXes observed.
Inspect WIF evidence →The examples do not establish unique holders, beneficial ownership, insider identity, future liquidity, or safety. Identity, Solana RPC, market and relationship sources remain separate.
Direct answer: check rug-pull warning signals
This public guide explains how to review rug-pull warning signals without turning one indicator into an automatic verdict.
It is for users who want to verify liquidity, concentration, token authorities, provenance and anomalies before making a decision.
It reduces skipped checks and helps separate observed facts, inference and unknown data.
ZECOIN provides an explainable method and Radar access for public diagnostics that are actually available on supported networks.
Conclusions must remain tied to observations, provenance and timestamps when those data exist. Missing data remains unavailable.
No scanner can prove a token is safe or guarantee the absence of a future rug pull, loss or fraud. ZECOIN does not provide financial advice.
This guide is public. Advanced capabilities depend on the applicable ZECOIN plan and features that are actually enabled.
Token control remains highly centralized
Mint or freeze powers that remain active can be legitimate in some projects, but they increase dependence on the entity controlling them. They should be understood and documented.
Low or highly concentrated liquidity
A token can display a large theoretical market capitalization while still being difficult to sell. Actual market depth and concentration in the primary pool are essential factors.
Concentration of observed accounts
High concentration can increase the risk of abrupt moves. By itself, however, it cannot identify unique economic holders: several accounts may belong to one person, or the reverse.
Uncertain contract provenance
A popular ticker can be copied. If the official address cannot be verified through credible sources, the risk of following a fake token rises sharply.
Inconsistent prices across pools
Large gaps can indicate shallow depth, unusual pools or insufficient data quality. A serious system should surface that uncertainty rather than output an overly precise score.
What ZECOIN must never promise
A diagnostic saying “no signal observed” never means “no risk”. Data can be incomplete, an actor can change behavior and some information is not visible on-chain. ZECOIN must continually distinguish absence of evidence from evidence of absence.
Combine security and Radar
Use Radar for market and on-chain observations, then Security Center for provenance, fake-link and user-behavior checks. The combination is more useful than a simple “safe” or “scam” badge.