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The AI code vulnerabilities that grow with your app

Help Net Security

Overview

Theori tested 28 applications developed using AI coding agents from Anthropic and OpenAI to identify vulnerabilities. Surprisingly, the common security issues like SQL injection and cross-site scripting, which are often expected, were not prevalent. Instead, the AI models utilized prepared statements and Object-Relational Mappers (ORMs) effectively, reducing the risk of these traditional vulnerabilities. This research indicates that while AI can still produce vulnerabilities, the nature of these vulnerabilities may differ from conventional coding errors. As AI tools become more widespread in software development, understanding their security implications is crucial for developers and organizations to safeguard their applications.

Key Takeaways

  • Affected Systems: 28 applications developed with AI coding agents from Anthropic and OpenAI
  • Action Required: Developers should implement best security practices and keep abreast of AI-generated code vulnerabilities.
  • Timeline: Newly disclosed

Original Article Summary

Theori built 28 apps with AI coding agents and scanned each one through its pentesting platform. Five models did the building, split between Anthropic and OpenAI, across apps written from a spec, thrown together from a casual prompt, and rewritten from an aging PHP codebase. The team went in expecting injection everywhere. SQL injection, cross-site scripting, the bugs that fill security tutorials. Those barely showed up. The models reached for prepared statements and ORMs on … More → The post The AI code vulnerabilities that grow with your app appeared first on Help Net Security.

Impact

28 applications developed with AI coding agents from Anthropic and OpenAI

Exploitation Status

No active exploitation has been reported at this time. However, organizations should still apply patches promptly as proof-of-concept code may exist.

Timeline

Newly disclosed

Remediation

Developers should implement best security practices and keep abreast of AI-generated code vulnerabilities.

Additional Information

This threat intelligence is aggregated from trusted cybersecurity sources. For the most up-to-date information, technical details, and official vendor guidance, please refer to the original article linked below.

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