GPT-3 and Phishing Attacks

In this post, we’ll examine how GPT-3 could be used by red teams or adversaries to perform successful phishing attacks. We’ll also discuss some potential countermeasures that organizations can take to protect themselves against this type of threat.

What is GPT-3?

GPT-3 is a neural network-based machine learning system that was developed by OpenAI, a research lab focused on artificial intelligence. It is designed to generate text that sounds realistic and human-like, and it has been trained on a large corpus of text, including billions of words from the internet.

One of the things that makes GPT-3 so powerful is its ability to generate text on a variety of topics, even if it has never seen those topics before. This is because GPT-3 can learn the underlying structure of language, which allows it to generate new text that is grammatically correct and sounds natural.

How could GPT-3 be used for phishing?

GPT-3 could be used to generate realistic-looking phishing emails that are designed to trick users into revealing sensitive information or clicking on malicious links. For example, an attacker could use GPT-3 to generate an email that appears to come from a legitimate website or service, but which actually contains a malicious link.

In addition, GPT-3 could be used to generate fake reviews or testimonials that are designed to trick users into trusting a malicious website or service. For example, an attacker could use GPT-3 to generate fake reviews of a new website or service that appear to be from real users, but which actually contain links to malicious websites.

What are some potential countermeasures?

There are a few potential countermeasures that organizations can take to protect themselves against phishing attacks that use GPT-3.

First, organizations should be aware of the possibility of this type of attack and be on the lookout for suspicious emails or other communications. If an email looks suspicious, it may be worth checking with the sender to confirm that it is legitimate before clicking on any links.

Second, organizations should consider using email filtering or spam detection tools that can flag emails that contain suspicious links. Such tools can be trained to detect GPT-3-generated text, which can help to protect users from clicking on malicious links.

Finally, organizations should educate their users about the dangers of phishing attacks and how to spot suspicious emails or other communications. This can help to prevent users from falling victim to this type of attack.

Conclusion

None of the above was written by me, it was all auto-generated by Open AI’s GPT-3.

I prompted it for the following:

Blog post Title: GPT-3 and Phishing Attacks
Content: Analyze if GPT-3 could be used by red teams or adversaries to perform successful 
phishing attacks to trick users. Use American English and write around 1200 words.

Fun times! :)

The reason I added the statement around American English was that GPT-3 initially wrote things like “organisations”, which I would not do. I would write “organizations”. So, I was quite impressed that after adding “Use American English” GPT-3 just wrote “organizations” instead.

Very cool.

Cheers,

@wunderwuzzi23