TokenSniffer.com ✓
@Token_Sniffer · joined 17 Oct 2020
#DeFi token risk analysis and scam detection from @Solidus_Labs. There is no official token, Telegram, or Discord.
32 175Followers
111Following
627Posts total
12.2KViews on collected posts
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@Token_Sniffer @BNBCHAIN Massive find, serial rug factories like that are killing trust, good on TokenSniffer for exposing it.
91 views · 5 likes
· 0 reposts · 0 replies
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We found a scammer that deployed 9,500+ soft rug tokens on @BNBCHAIN since Nov 1 using a token factory contract to launch a new token every 2-4 minutes.
They wash trade to pump the price… then pull liquidity.
Only @Token_Sniffer detects serial rugpull rings like this.
2.4K views · 18 likes
· 2 reposts · 3 replies
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🧵 Thursday Bark & Byte: We're picking back up right where we left from on Tuesday!
3️⃣ What’s a rug pull?
A project hypes, pulls in liquidity, then the dev yanks the funds and disappears.
The token collapses, users get rekt.
It’s the oldest trick in DeFi, just faster on Base.
1.9K views · 11 likes
· 3 reposts · 6 replies
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2️⃣ For 2.7M Uniswap v2 pools on Base (60% of all pools) at end of Q3 2025:
⚠️ 73% showed scam/spam traits, 86% in Q3
⛽ 98% had < $1K liquidity
🩸 26% ended in LP drains (“soft rugs”)
🕒 Median pool lifespan: 12 mins
That’s not noise, that’s a signal.
586 views · 5 likes
· 0 reposts · 1 replies
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To be continued on in our Thursday Bark & Byte series!
529 views · 2 likes
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1️⃣ @Coinbase calls @Base the future of on-chain economies.
They’re not wrong: cheap gas + fiat bridges = builder heaven.
But the same conditions attract bad actors.
cc @buildonbase
88 views · 0 likes
· 0 reposts · 1 replies
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🧵 Token Sniffer Tuesday: Sniffing the Rugs on @Base 🐾
4.5M pools. Billions in liquidity.
When builders build fast, scammers deploy faster.
Here’s what our nose picked up 👇 https://t.co/FH1NGPXbtf
2.8K views · 5 likes
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🧵🎃 Halloween Horror: The Livecaster Rug and how $690,000 vanished into the night.
It had a slick site.
A trending chart.
And a $4.9M market cap on @base.
But behind the mask was one of the most dangerous token contracts we’ve ever seen.
cc: @buildonbase @baseapp @coinbase ht
1K views · 5 likes
· 3 reposts · 1 replies
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GIF
🧵🎃 Trick or Treat?
@Token_Sniffer scanned $Base tokens with >$1k liquidity (Jul–Sept):
• 117,164 tokens total
• 105,556 were scams
That’s a 90% trick rate
1️⃣ Meet “Scammer X”, one of many serial deployers using siphons, fake socials, obfuscated code & spoofed sites.👇 https:/
1.1K views · 9 likes
· 3 reposts · 2 replies
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Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
1.1K28 Oct
1K30 Oct
2.8K4 Nov
88
529
586
1.9K6 Nov
2.4K11 Nov
1.7K
91
Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.30%28 Oct
0.88%30 Oct
0.21%4 Nov
1.14%
0.38%
1.02%
1.04%6 Nov
0.97%11 Nov
1.04%
5.49%
Reactions — likes, reposts, replies and quotes — divided by views.
What the audience does
Likes67.6%73 in total
Reposts11.1%12 in total
Replies17.6%19 in total
Bookmarks3.7%4 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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