Beware: AI’s Naïve Code is a Hacker’s Delight!
Insecure code is the latest trend in AI fashion! A study by Backslash Security reveals popular large language models are generating code with vulnerabilities like XSS and path traversal. The culprit? Naïve prompts. Even when asking for secure coding, many models still slip up, making AI the new wild west of coding.
Hot Take:
Looks like our beloved AI code whisperers are channeling their inner ’90s hacker movies by writing insecure code. Who knew that asking an AI to be your coding buddy would sometimes be like asking a toddler to babysit your pet tarantula? The real kicker? Even when we ask nicely, like “pretty please follow OWASP,” our AI pals still manage to sneak in a few security bloopers. Is it time to teach these models some cybersecurity etiquette, or should we just start a support group for developers coping with LLM-induced security nightmares?
Key Points:
- AI-generated code often contains vulnerabilities, even with prompts for secure coding.
- Common vulnerabilities include command injection and XSS, among others.
- OpenAI’s GPT-4o model performed the worst, while Claude 3.7-Sonnet excelled.
- None of the tested models were vulnerable to SQL injections.
- There’s potential for security teams to improve AI-generated code security through better prompt engineering.