In response to simple, “naive” prompts, all LLMs tested generated insecure code vulnerable to at least 4 of the 10 common CWEs.
In response to simple, “naive” prompts, all LLMs tested generated insecure code vulnerable to at least 4 of the 10 common CWEs. — This cybersecurity statistic was published by Backslash Security in April 2025. It covers topics including AI, LLMs, Vulnerabilities. The original data appears in Can AI “Vibe Coding” Be Trusted? It Depends…. For the full methodology and detailed findings, refer to the original report.
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Frequently Asked Questions
What does this statistic say?
In response to simple, “naive” prompts, all LLMs tested generated insecure code vulnerable to at least 4 of the 10 common CWEs. This data was published by Backslash Security and covers AI, LLMs, Vulnerabilities.
Where does this data come from?
This statistic comes from Can AI “Vibe Coding” Be Trusted? It Depends…, published by Backslash Security on April 24, 2025. You can view the original report at https://www.backslash.security/blog/can-ai-vibe-coding-be-trusted.
What cybersecurity topics does this cover?
This statistic relates to AI, LLMs, Vulnerabilities. Browse more statistics on AI or from Backslash Security.