How Do Scammers Use AI to Write Malicious Smart Contracts?
AI coding tools make it easier to deploy tokens with hidden traps. Here's what that means for buyers and the behavior-based checks that catch them anyway.
Writing a smart contract used to require real programming skill, which limited who could deploy harmful tokens with hidden traps. AI coding assistants have lowered that barrier, and while this article won't explain how such contracts are built, it's worth understanding what the shift means for anyone buying tokens.
Why Coding Skill Used to Be a Natural Filter
Building a token with concealed restrictions, such as honeypot sell blocks, hidden fees, or owner-only minting, once required understanding contract code well enough to write it and hide it. Less skilled scammers relied on copying templates, which were often easier to recognize.
What AI Changes
AI coding tools can help less experienced people produce working contracts, modify existing templates, and create many slightly different variants quickly. Reputable AI providers restrict requests to build malicious code, but determined bad actors can still use general coding help, older templates, or tools with fewer safeguards. The overall effect is more harmful contracts, from more people, with more variety.
Why Variety Matters for Detection
Automated scanners work best against patterns they have seen before. A flood of slightly different variants makes it harder for any single signature to catch them all, which is why behavior-based checks matter as much as code-pattern checks.
Why Unverified Contracts Deserve Extra Suspicion
If a contract's source code isn't verified on a block explorer, no one can easily read what it does. Verified source code doesn't guarantee safety, but an unverified contract behind a heavily promoted token removes one of the most basic checks available.
Checks That Work Regardless of How the Contract Was Written
Several checks focus on what a contract can actually do rather than how it was written: whether a test sell succeeds, what the owner is still able to change, whether new tokens can be minted, whether wallets can be blocked, and whether fees can be raised after launch.
Why Simulation Is Especially Valuable Now
Simulating a buy and a sell before committing real funds tests the contract's actual behavior. It doesn't matter whether a trap was hand-written or AI-assisted, cleverly hidden or obvious: if the sell fails or returns almost nothing, the simulation shows it.
What This Means for Token Buyers
The number of tokens with hidden traps is likely to keep growing, and code-reading skill alone won't catch them all. Behavior-based checks, verification status, and permission reviews together offer the most reliable protection.
Check a token's contract permissions and simulate a sell before buying. How a contract was written matters less than what it actually lets its owner do.