Evasive Viruses Use ChatGPT to Write Customized Emails: The Rise of Metamorphic Malware in the Digital Age

In a recent development, researchers have discovered that computer viruses can use ChatGPT to rewrite their code in order to evade detection. This allows the virus to create customized emails that appear to be genuine replies, ultimately spreading itself through email attachments. The ability of large language models (LLMs) such as those behind ChatGPT to write computer code is a significant concern for David Zollikofer from ETH Zurich and Benjamin Zimmerman from Ohio State University.

The duo are worried that this capability could be leveraged by viruses that modify their code, a type of malware known as metamorphic malware. Metamorphic malware is particularly difficult to detect and remove because it changes its code each time it infects a new system. By using LLMs to generate human-like text and write computer code, these viruses are able to create more sophisticated and evasive attacks.

To combat this threat, researchers are exploring new approaches to detecting and removing metamorphic malware. One potential solution is to develop machine learning algorithms that can analyze the behavior of these viruses and identify patterns that indicate their presence. Another approach is to use LLMs themselves as tools for identifying and neutralizing these threats.

While the threat posed by metamorphic malware is significant, there is reason for hope. Researchers continue to develop new tools and techniques for combating these attacks, and with continued innovation and collaboration, it may be possible to stay one step ahead of these evasive foes.

In conclusion, the ability of computer viruses to utilize ChatGPT to rewrite their code poses a significant threat to cybersecurity. Metamorphic malware is particularly difficult to detect and remove because it changes its code each time it infects a new system. However, researchers are exploring new approaches to combat this threat by developing machine learning algorithms that can analyze the behavior of these viruses and identify patterns that indicate their presence. With continued innovation and collaboration, it may be possible to stay one step ahead of these evasive foes.