OpenAI’s ChatGPT previews how AI can help hackers breach more networks

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Illustration: Sarah Grillo/Axios

The AI-enabled chatbot that’s been wowing the tech community can also be manipulated to help cybercriminals perfect their attack strategies.

Why it matters: The arrival of OpenAI’s ChatGPT tool last month could allow scammers behind email and text-based phishing attacks, as well as malware groups, to speed up the development of their schemes.

Several cybersecurity researchers have been able to get the AI-enabled text generator to write phishing emails or even malicious code for them in recent weeks.

The big picture: Malicious hackers were already getting scarily good at incorporating more humanlike and difficult-to-detect tactics into their attacks before ChatGPT entered the scene.

How it works: ChatGPT speeds up the process for hackers by giving them a launching pad — though the responses aren’t always perfect.

Researchers at Check Point Research last month said they got a “plausible phishing email” from ChatGPT after directly asking the chatbot to “write a phishing email” that comes from a “fictional web-hosting service.”Researchers at Abnormal Security took a less direct approach, asking ChatGPT to write an email “that has a high likelihood of getting the recipient to click on a link.”

The intrigue: While OpenAI has implemented a few content moderation warnings into the chatbot, researchers are finding it easy to side-step the current system and avoid penalties.

In Check Point Research’s example, ChatGPT only gave the researchers a warning saying this “may violate our content policy” — but it still shared a response. The Abnormal Security researchers’ questions weren’t flagged since they didn’t explicitly ask ChatGPT to participate in a crime.

Yes, but: Users still need to have a basic knowledge of coding and launching attacks to understand what ChatGPT gets right and what needs to be tweaked.

When writing code, some researchers have found they’ve needed to prompt ChatGPT to correct lines or other errors they’ve spotted. An…..

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