We built 24 apps with AI. Three platforms. 561 vulnerabilities.
An experiment was conducted to evaluate the security of 24 apps built using AI across three platforms. The results revealed a total of 561 vulnerabilities, with 300 categorized as critical or high. The findings suggest that while AI can rapidly generate applications, the default settings often lead to significant security flaws.
- ▪The experiment involved building 24 apps across eight categories using three AI platforms.
- ▪A total of 561 vulnerabilities were found, with 300 being critical or high.
- ▪Only one app scanned with zero findings, while the others had between six and forty-six vulnerabilities each.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3915589) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Muhammad Hasan Posted on May 29 We built 24 apps with AI. Three platforms. 561 vulnerabilities. #ai #vibecoding #security #manus The experiment Most of what's now being built on top of AI gets called vibe coding. Type what you want, hit enter, watch a working app appear thirty seconds later. Lovable, Replit, Manus, Bolt, V0, every team we know is using one of them or trying to.
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