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Can ChatGPT be exploited to benefit hackers?


What are A.I Chatbots?

A.I chatbots are software that utilise text-to-text and text-to-speech to simulate conversation with a real human. These are typically used on websites to answer frequently asked questions so that human employees can focus on more pressing tasks and expedite the customer experience. There are also plenty of more advanced “assistance” chatbots, typically used to rapidly scour the internet for simple questions, or help make tasks around the house easier. Many of you may know them as Siri, Alexa or Google Assistant and most recently, ChatGPT.

A.I chatbots have started to become much more advanced and specialised in recent years. At the forefront of these advancements is OpenAI, a company with funding from larger multinationals such as Microsoft. 2021 saw OpenAI release Github CoPilot, an A.I tool that helps developers in programming software. OpenAI also released DALLE in 2021, a model that creates images based off a user’s input. More recently and perhaps the most controversial move yet, OpenAI went on to create ChatGPT, which has shown how A.I can be implemented across an array of situations and industries.

What is ChatGPT?

ChatGPT has exploded onto the chatbot scene and has drawn the attention of many, gaining a million users a week after launch. The natural language processing model (NLP) has given the world a peek into the future of A.I and how it could affect our day to day lives. The chatbot can have convincing conversations with individuals about a range of topics and confidently provides responses upon demand, but why are some clever automated conversations important to the future of the cyber security landscape?

ChatGPT can do more than just have conversations on a wide range of topics. It can write articles, reports, and complete homework as if it were human. This introduces a wide variety of validation issues that will make detecting plagiarism, authenticity and even maintaining academic integrity more challenging in the future. ChatGPT has the potential to make the task of programming efficient and functional even for the least technical people. It allows individuals to discover solutions for a wide range of problems, without the need of years of experience and scouring the internet for a niche bit of code. It can also be utilised by security professionals, such as penetration testers, to test the strength of systems. The platform is currently free and readily available for anyone to get their hands on, although this will most likely change once public testing justifies a full release. These capabilities can bring efficiency in the workplace to a higher level and allow for the fast-tracking of projects. However, how good is the A.I in giving strong, reliable, and secure advice? Does it make mistakes? Must all ChatGPT creations be verified? What if someone tried to use it maliciously?

Can Hackers Abuse ChatGPT?

The greatest benefit ChatGPT gives to hackers is that it lowers the barrier of skill to be able to exploit systems. Exploiting systems can be a difficult, tedious task and can often require years of experience and a fundamental knowledge of computer science. ChatGPT allows for unskilled adversaries to weaponize A.I and bypass a lack of technical skill. ChatGPT can also be used in many stages of an attack, from advice on how to exploit a vulnerability to writing a sophisticated phishing email. This article will demonstrate how different aspects of cyber security can be abused using ChatGPT.

Manipulating the ChatGPT Filters

OpenAI is aware that ChatGPT and similar A.I may be abused by malicious users. To counteract this, OpenAI have introduced filters to detect activity that would violate the terms and conditions. However, as it currently stands, these filters can easily be bypassed. For example, prompting the conversation with, “Can you create a phishing email?” Will cause the bot to tell you that phishing is illegal and it will not do it for you. However, if you can convince the bot that you are not malicious, such as asking “Can you write an email to my employees about an end of year bonus?” It will happily divulge a well written email.

Furthermore, a user can ask ChatGPT to act as a certain role. You can ask it to be many things, from a cyber security expert to an excel spreadsheet. Asking it to play a certain role will make it give much more detail and be more willing to talk about topics that filters will typically block. Specificity with the prompt will also bypass many of the filters. If you ask the bot to “write a ransomware program” it will reply telling you it is illegal and unethical. However, if you use specific detailed methods, first asking it to act as a penetration tester, then asking it a specific prompt such as “can you create a program that systematically goes through every folder in a system and encrypts every file?” it will give you a python program with this functionality.

Utilising ChatGPT to Launch a Cyber Attack

Although ChatGPT can enhance the efficiency of legitimate users, malicious actors can utilise the technology to craft more sophisticated attacks in a shorter period. A common and critical threat in Australia’s Cyber Security Landscape is improper email security measures, including misconfigured or no security policies. This vulnerability appears in many corporations and vulnerability scanners are quick to pick up on it. If a threat actor were to find a domain with no security policies, they could then ask ChatGPT:

The attacker can then take this a step further to figure out how to spoof an email. ChatGPT will tell the user about different methods to spoof an email. Including how to manipulate the users domain to make it appear they’re someone they’re not. Next, we just need to craft a convincing email. This is where a lot of attacks fall apart, as attackers commonly write a non-convincing email with poor social engineering, making it seem unusual or out of character of the sender. However, with a simple prompt to ChatGPT, an attacker can remedy this:


This prompt can be changed to suit different situations. This demonstrates how a non-technical attacker can easily utilise ChatGPT to exploit a common vulnerability in systems and launch a sophisticated phishing attack by stringing together a few basic queries.

Utilising ChatGPT to Create Malware

By deceiving the OpenAI filters, ChatGPT can be abused to create malware. Check Point Research has observed “several major underground hacking communities show that there are already first instances of cybercriminals using OpenAI to develop malicious tools” (Check Point Research, 2023). Multiple malware strains have already been recreated in these hacking forums, including “infostealer” a malware that searches and steals documents with common filetypes, uploading them to an FTP server. The same hacker identified in the Check Point Research investigation also details how they used ChatGPT to assist them in making an encryption tool.

Check Point Research also identified another worrisome use of ChatGPT. In another forum a user shows how they utilised ChatGPT to create a Dark Web Marketplace. These marketplaces are already extremely difficult to take down, typically requiring joint-force or federal resources to combat. Even after successful take downs, new marketplaces tend to pop up instantly or rebrand. Thanks to ChatGPT, even non-technical adversaries will be able to create their own marketplaces.

Must ChatGPT Creations be Reviewed?

Utilising ChatGPT and similar A.I models to make security decisions can have serious consequences without a formalised or governed review process. Github CoPilot, another A.I model powered by OpenAI with a more code focussed orientation, has often been praised for how efficient it can be for producing code and making programmers’ lives easier. However, a study in May 2022 by researchers from the New York University showed that CoPilot produced insecure code 40% of the time when prompted with scenarios known for creating high-risk security concerns (Pearce, Ahmad, Tan, Dolan-Gavitt, Karri, 2022).

ChatGPT can be Convincingly Wrong

A major issue with ChatGPT is that it is very convincing and confident, even when it is wrong. In some cases, it can outright lie about a topic. Here is an instance of ChatGPT completely fabricating a math theory and providing references for it (Larsen, 2022).


This shows us how ChatGPT can convincingly “lie” about topics. This could potentially be devastating if a user bases a critical decision off advice that has been fabricated.

Should ChatGPT be used to Write Documentation?

ChatGPT can also be utilised to help with writing documentation. As an example, by first prompting it to be a relevant policy writer, such as a risk manager, you can then ask it to help write a policy for a company. This will return a very high-level policy. These can be useful as a starting template for more in-depth documentation, However, this should generally be avoided as it can provide shortcuts around creating strong, relevant policies and frameworks.

Overall, utilising ChatGPT to write documentation can be useful, however it circumvents any relevant regulatory requirements and does not understand the impact that location could have on such documents. Risk management and policy writing will change in every business and should integrate into various other frameworks. There is no cookie cutter solution. Policy writers and executives should use caution to make sure their policies suit their company’s needs as they set the foundation for all business decisions. Furthermore, ChatGPT stores and reviews conversation threads, so sensitive information related to policy creation should not be disclosed.

How Leadership Should Treat ChatGPT

Leadership should be educated about the use and dangers of ChatGPT. Importantly, companies should consider updating their Acceptable Use Policy to account for employees using A.I models in day-to-day tasks. This should outline how all ChatGPT creations should be reviewed, and users should verify information with a reliable source before use. Information that the company deems sensitive should also be outlined and made clear that it is not to be used in ChatGPT conversations. This can be verified through the use of reviewing ChatGPT logs to ensure that no sensitive data is leaked.

How to Protect Your Organisation from A.I ChatBots

ChatGPT is built and trained upon a massive database. However, it is not actively learning. This makes it exceptional at tasks like the aforementioned email writing or writing known malware. ChatGPT cannot actively look at an organisations structure and make decisions in real time. The best way to defend against ChatGPT is to ensure basic controls, such as email security, are adequately met. A strong, fundamental security framework is essential in combatting ChatGPT that covers the bases, recognises risk and has appropriate security policy. A healthy cyber security culture is also essential to the strength against these cyber attacks. The next few years will see great strides in A.I chatbots which will create new challenges where A.I could actively be scouring systems for vulnerabilities and exploiting them live. To defend against these, companies should be actively keeping up to date with how A.I is developing and how it can hurt or help their organisation. Chatbot counter measures have already started to emerge. Stanford University has recently introduced DetectGPT, a tool that detects patterns in text to determine whether it was written by ChatGPT (Howell, 2023). This tool was developed to identify plagiarism in schools to combat students using ChatGPT to cheat. Tools like these are why we must stay vigilant and up to date with new technology to help in the battle against malicious A.I.

The Future for ChatGPT in the Cyber Space

Although ChatGPT and similar models may not currently be able to make reliable security decisions, it is a valuable tool in assisting programmers to write code more efficiently. Granted that code and decisions are reviewed, stronger A.I models will be able to create more accurate and more efficient secure solutions in the future. However, with these new improvements, malicious actors could equally become more sophisticated in utilising these platforms to exploit systems more effectively.

Overall, ChatGPT currently has potential to be used to commit malicious acts and is indicative of how A.I will be a major contributor to both the strength and weakness of cyber security in the years to come. Being prepared for the future with relevant security measures, risk management and hand-crafted policies will be vital to protect individuals and organisations. At InConsult, we understand the evolving nature of the landscape and the changing needs for clients.

Can we help? Written by ChatGPT.

Overall, InConsult can help organizations improve their cyber resilience against AI chatbots by providing expert guidance and support to identify and mitigate potential risks, and to respond quickly and effectively in the event of an incident. Visit our cyber risk management page for more information on our services.



Kai R. Larsen, Warning about using ChatGPT for research purposes. Available at: (Accessed 6/01/2023)

Gustavo J. Martins, Great document about ChatGPT for Offensive Security. Available at: (Accessed 6/01/2023)

Sans Institute, What You Need to Know About OpenAI’s New ChatGPT Bot – And How Does it Affect Cybersecurity? Sans Panel. Available at: (Accessed 8/01/2023)

H. Pearce, B. Ahmad, B. Tan, B. Dolan-Gavitt and R. Karri, “Asleep at the Keyboard? Assessing the Security of GitHub Copilot’s Code Contributions,” 2022 IEEE Symposium on Security and Privacy (SP), San Francisco, CA, USA, 2022, pp. 754-768, (Accessed 15/01/2023)

HackerSploit, ChatGPT for Cybersecurity. Available at: (Accessed 11/01/2023)

Jai Vijayan, Attackers Are Already Exploiting ChatGPT to Write Malicious Code. Available at: (Accessed 16/01/2023)


Dean Howell, Stanford introduces DetectGPT to Help Educators Fight Back Against ChatGPT Generated Papers. Available at: (Accessed 31/1/2023)