Uncovering The Top 7 ChatGPT Security Risks

Uncovering The Top 7 ChatGPT Security Risks

The security risks of ChatGPT become more prevalent as OpenAI might share users’ data with unspecified third parties without users’ permission to meet their business goals.

It is truly remarkable how much content ChatGPT can create, including emails, essays, and poems. The AI-powered chatbot can create content in various tones and styles in seconds. Still, it also brings up several security concerns cybersecurity experts must address in 2023.

Cybercriminals will likely use it as a tool for their work, just as many expert writers, marketers, SEO strategists, and others will do.

The ChatGPT security risks involve data privacy theft through user prompts.

Top 7 ChatGPT Security Risks

  • Combination of ChatGPT & Natural Language Technology

The future of technology iterations is empowering cyberattack and defense as natural language technology is based- NLP/ natural language generation enables ChatGPT to easily mimic written or spoken human language, which can be used in computer code generation.

To safeguard the content from being used in malicious functions, the user will require to filter the content and look for phrases suggesting if the cyber attacker is attempting to misuse it. But, currently, no platform has assured us that these NLG iterations will be safe from these ChatGPT security risks.

As OpenAI ChatGPT can write official languages, cybercriminals can use it to write plausible phishing mail, convincing users to share confidential information. OTPs can automate such personalized emails targeting different groups, causing security breaches.

Cybercriminals can attempt to use ransomware to extort money from victims with an AI chatbot, which will accelerate ChatGPT security risks. This will help phishers reach victims in a sophisticated way that will be harder for humans to identify the phishing or original mail.

  • Write Malicious Code

With the evolution of the AI chatbot, one of the prominent ChatGPT security risks will be writing code. Threat actors can utilize AI-powered prototype ChatGPT in code development and debugging.

Malicious hackers will leverage ChatGPT to create low-level cyber tools consisting of malware & encryption scripts. This will lead to faster cyberattacks by bad actors hampering system servers. Hacking will become prominent as this coding ChatGPT security risks will speed up their work and give them a space to spot the loopholes in the system by writing malware codes.

  • Dark Web Marketplace

Another ChatGPT security risk is that hackers can use it to recreate known malware strains & techniques. They can use ChatGPT to write Java code & can also use generated code for encrypting & decrypting data.

The research by Blackberry named- ChatGPT May Already Be Used in Nation State Cyberattacks, Say IT Decision Makers in BlackBerry Global Research revealed that 51% of IT leaders think that ChatGPT will act as a successful platform for cybersecurity breaches this year.

  • Phishing Emails Without Typos

Another security risk in ChatGPT is its ability to create phishing emails without typos. Even though it’s technically programmed to create malicious free content, hackers can trick it with the wording of prompts.

Cyber attackers can develop an entire email chain to increase their emails’ persuasiveness and generate content similar to human-written messages. AI-powered ChatGPT can draft unique variations of the same phishing lure with accurate grammar & realistic-sounding emails.

With scripting & automation, ChatGPT lets cyber attackers create numerous mass-produced customized communications.

  • Helping Attackers with Inbuilt Translation

ChatGPT is built with 20 languages, so it can help scammers draft professional content in different languages. According to Check Point Research report on Russian Hackers Attempt to Bypass OpenAI’s Restrictions for Malicious Use of ChatGPT, more alarming data showcases the attempts made by cybercriminals to bypass OpenAI ChatGPT restrictions. This research revealed that overlooking ChatGPT geo-restrictions is simple, which means threat actors will perform multiple activities to implement & test ChatGPT into the cybercriminal regular hacking operations.

  • Data Security Risks

ChatGPT is underpinned by a significant language model comprising massive data amount to function & improve; the trained data will help better detect patterns and anticipation for generating plausible text. But this data collection ChatGPT is using to teach is not security proof.

The data OpenAI is using is not asking permission before use, which violates privacy, particularly for sensitive data.

The data that is available in the public domain can cause textual integrity breaches. So the data ChatGPT is using can violate the confidentiality of information the people. Other than this, OpenAI doesn’t allow users to check whether the company stores their data or requests it to be deleted. The ground data ChatGPT is qualified on can be proprietary or copyrighted.

  • Authenticity

The massive amounts of text data used to teach ChatGPT, and other third-party language models could be biased. This could result in the model producing unfair or biased findings, mainly if the data is not diverse. Therefore, it’s crucial to think about how the model’s flaws influence one’s application and take action to reduce them.

Although it may seem complicated, using ChatGPT to make different spyware types is quite simple. The potential for malicious development is considerable because of ChatGPT’s capacity to produce regular, repeated actions and conceal malicious code in files. This technique shows the potential for malware to evolve new malicious code, rendering them polymorphic.

Also Read: Two Hacking Groups Spotted in Asia Targeting the Materials Sector

Final Takeaway

ChatGPT is a potent language model that could entirely alter jobs involving natural language processing. But when using ChatGPT in an application, it’s crucial to be conscious of any potential risks, just like with any other technology. These include model performance, model bias, legal and regulatory compliance, reliance on third-party services, and data protection and security. Therefore, it is crucial to carefully assess the model and the provider before integrating them into your application and to constantly monitor and test the model’s performance and output to ensure seamless integration and reduce risks.

Additionally, various types of malware can be produced using ChatGPT’s capacity to make regular, repetitive actions and conceal malicious code in files. By using new or different malicious code, this technique can create polymorphic malware that is challenging for security software to identify and track.

For more such updates follow us on Google News ITsecuritywire News. Please subscribe to our Newsletter for more updates.