Imagine discovering a promising new token with thousands of holders, rising prices, and an active community. Everything seems legitimate until liquidity suddenly disappears. This is how the carpet pulling business begins.
Rather than simply siphoning off your money, developers generate trust primarily through locked liquidity and terminated contracts. They then create a buzz around their tokens through active social media platforms and coordinated advertising.
The stronger the community, the easier it is to attract new capital and deepen investor confidence. The entire process usually takes 48-72 hours from extravagant creation to release.
Hard carpets siphon liquidity in one fell swoop through emptying developer wallets or withdrawing from the pool, while soft carpets silently erode value through insider selling, token unlocks, or abandoned roadmaps.
Eventually the developer withdraws the proceeds and TVL begins to collapse, revealing what the hype had been hiding all along. As a result, this leaves the token on chain but with little practical market value or investor confidence.
Patterns behind most rug pulling processes
Not every token is as centralized as it first appears. A project can attract thousands of owners and still leave most of the control in the wallets of a few developers. This is where the real risk begins.
Historical cases of rug-pulling reveal that warning signs rarely occur in isolation. Instead, multiple indicators tend to appear together long before liquidity disappears.
The smart contract then determines whether this risk will become reality. Secret mint functions, retained ownership, upgradable contracts or sales restrictions could quietly give developers more control than investors expect.
On-chain data consistently correlates high wallet concentration, where the top 5 to 10 holders control more than 30% of the supply, with increased risk of manipulation. Moreover, this risk increases if developer allocations lack meaningful vesting or liquidity locks expire soon after project launch.
Contract architecture adds another layer of concern. Unverified source code, active mint functions, upgradable proxies, and adjustable sales restrictions allow developers to retain control after distribution.
Market behavior often reinforces these inherent risks. This happens through rapid price appreciation supported by influencer-driven promotions. This is in addition to lower organic volume and declining owner growth rates occurring before large developer wallet transfers and diminishing liquidity pools.
For example, situations such as SQUID And SCALES Despite different narratives, they followed similar paths. Collectively, these models suggest that rug pulls are better identified through contractual and behavioral signals that converge on the chain, rather than any single measurement.
However, not all projects follow this trajectory. The use of transparent authorization, verified code, and third-party auditing processes makes manipulation extremely difficult. Ultimately, decentralization is determined by how much control developers are willing to give up.
Exploits that trap investors
This control is often manifested through the type of exploit developers choose. Honeypots remain the most common, with 98,442 fraudulent tokens. These contracts allow investors to buy normally, but prevent or greatly restrict sales, effectively locking up funds once sufficient liquidity enters.
Secret mint functions follow with 60,985 cases, allowing developers to inflate supply after launch and dilute existing owners. Fake ownership waivers also appear on 48,974 other tokens, reinforcing how control can remain secret despite claims of decentralization.
However, the growing variety of exploits shows that scammers are adapting faster and smart contract scrutiny is becoming as important as price action before investing.
