Is SATOSHINU a rug? SATOSHINU rug check
Safety checks
- Mint authority revoked
- Freeze authority revoked
- 3% fee on every buy, sell and transfer — the dev can raise it (takes effect ~2 epochs, about 4 days, later)
- Name/image can still be changed by the dev
- Liquidity $22,368
- Rug guard: no bundle, insider or serial-dev red flags
What the scan noticed
- Token-2022 transfer fee of 3.00% is skimmed from every buy, sell and transfer.
- Top-pair liquidity under $25k ($22,368).
- Metadata is mutable - the name, ticker and image can still be changed.
Market data
| Price | $0.0000443 |
| Market cap | $44.3K |
| Liquidity | $22.4K |
| 24h volume | $2.4K |
| 24h buys / sells | 31 / 72 |
| Holders | 1,069 |
| Organic trading score | 0/100 (low) |
| Age | 33 days |
| Token program | Token-2022 |
| RugCheck score | 1 |
Top holders
| #1 5Dc2…RYJk | 4.06% |
| #2 H3JG…QGVq | 3.46% |
| #3 9NeE…wMPj | 3.19% |
| #4 4ruG…qLdZ | 3.07% |
| #5 AcKp…jHD1 | 3.05% |
| #6 3Tb1…zTUA | 2.76% |
| #7 5dU2…4sSv | 2.52% |
| #8 3pVt…krWT | 2.04% |
| #9 57r4…UxHp | 2% |
| #10 89WA…zfcZ | 1.85% |
Top 10 hold 28% of supply.
Developer record
| Creator | BasedNavyOboe · E4mT…MirG |
| Other coins launched | 0 |
| Launches in the last 7 days | 0 |
SATOSHINU rug check FAQ
Is SATOSHINU a rug pull?
MAD Rugscope rates SATOSHINU as caution with a score of 54 out of 100 (grade C). A few things to watch before sizing up. Every trade also pays a 3% fee the dev can raise. It found 0 red flags and 3 warnings when last scanned on 24 Oct 2026. No scanner can promise a token is safe.
Can the SATOSHINU developer mint more tokens or freeze wallets?
Mint authority revoked. Freeze authority revoked.
Who holds SATOSHINU?
The top 10 holders own 28% of the supply, across about 1,069 holders in total.
How much liquidity does SATOSHINU have?
About $22.4K in liquidity with $2.4K traded in the last 24 hours and a market cap near $44.3K.
Links
dexscreener · pumpfun · solscan
How this works: Rugscope reads the token contract (mint, freeze, Token-2022 extensions), holder concentration and bundles, the developer's launch history, liquidity and organic volume, and, for pump.fun coins on the curve, a model trained on 48,857 real launch moments. Read the method.