AI Coding Assistants Have a Security Blind Spot
A few months ago, I wrote about a non-technical founder whose SaaS got exploited right after he publicly showed his build process using Cursor (https://lnkd....
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A few months ago, I wrote about a non-technical founder whose SaaS got exploited right after he publicly showed his build process using Cursor (https://lnkd.in/gNCyDgzt).
Attackers maxed out his API usage, bypassed subscriptions, and even messed with his database.
Since then, I have seen more examples of how they introduce security flaws to code.
Swipe the carousel to see 6 ways AI creates vulnerabilities ➡️
Including:
- Hardcoded secrets (a leaked key once cost a student $55k: https://lnkd.in/gF8khzKe)
- Fallback secrets that look safe but aren’t (https://lnkd.in/ghpzjRAV)
- Insecure random number generation
- Unsanitized input enabling phishing
- And more…
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I created a security.md file you can drop into your project to guide your AI coding assistant based on these blind spots.
Comment “Security” and connect with me if you want a copy of the rules.
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What security issues have you caught in AI-generated code?
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