CSA identifies the possibility of ChatGPT enhancing cyberattacks
The Cloud Security Alliance (CSA) has released a study detailing five ways attackers might leverage ChatGPT to improve their attack arsenal. The research investigates how threat actors might use AI-driven systems to carry out various cyberattacks such as enumeration, foothold assistance, reconnaissance, phishing, and polymorphic code development.
Adversarial AI assaults and ChatGPT-powered social engineering are two of the top five most hazardous new attack methodologies being deployed by threat actors, according to SANS Institute cyber specialists at the RSA Conference. According to the research, the first assault threat is ChatGPT-enhanced enumeration, which is graded medium risk, moderate impact, and high chance. ChatGPT may be used to quickly discover the most common applications connected with certain technologies or platforms.
There is also foothold assistance, which is evaluated as medium risk, medium impact, and medium chance. The technique of assisting threat actors in establishing a first presence or foothold into a target system or network is referred to as ChatGPT-enhanced foothold support. Foothold assistance in the context of AI tools might include automating the finding of vulnerabilities or simplifying the process of exploiting them, making it easier for attackers to get early access to their targets.
In terms of malicious threat actors in cybersecurity, the paper also covers reconnaissance, which refers to the early step of acquiring information about a target system, network, or organization before initiating an assault. The research rated ChatGPT-enhanced reconnaissance as low risk, medium impact, and low possibility. Actors may now easily create legitimate-looking emails for a variety of objectives, including phishing, using AI-powered tools. The research classified ChatGPT-powered phishing as medium risk, low impact, and extremely plausible.
Finally, the report discusses the use of ChatGPT to generate polymorphic shellcode, which can result in a variety of malware variants that complicate cybersecurity professionals’ detection and mitigation efforts. ChatGPT-enhanced The generation of polymorphic code was graded as high risk, high impact, and medium likely.
The sources for this piece include an article in CSOOnline.