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We built a vulnerability vending machine: AI tokens in, zero-days out

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vulnerabilities

We built a vulnerability vending machine: AI tokens in, zero-days out

Intruder built an AI system that combines code analysis with large language models to automatically discover previously unknown software vulnerabilities. The system identified and exploited a WordPress plugin zero-day, with additional findings currently under responsible disclosure.

Why it matters: Security teams and vulnerability management practitioners should monitor AI-driven vulnerability discovery capabilities, as automated detection of complex zero-days signals a shift in the speed and scale at which novel exposures may be identified and potentially weaponized.

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vulnerabilities

We built a vulnerability vending machine: AI tokens in, zero-days out

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vulnerabilities

We built a vulnerability vending machine: AI tokens in, zero-days out

Intruder developed an artificial intelligence (AI) system that uses code analysis and large language models (LLMs) to automatically detect complex software flaws. The tool identified and exploited a previously unknown zero-day vulnerability in a WordPress plugin, with additional findings currently under responsible disclosure.

Why it matters: WordPress plugin users and developers should assess exposure to the disclosed zero-day and monitor for patches or mitigations.

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Correction

Correction recorded as of .

vulnerabilities

We built a vulnerability vending machine: AI tokens in, zero-days out

Intruder developed an artificial intelligence (AI) system that uses code analysis and large language models (LLMs) to automatically detect complex software flaws. The tool identified and exploited a previously unknown zero-day vulnerability in a WordPress plugin, with additional findings currently under responsible disclosure.

Why it matters: WordPress plugin users and developers should assess exposure to the disclosed zero-day and monitor for patches or mitigations.

VendorsWordPress
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