Artificial intelligence (AI) fuzzing uncovers vulnerabilities and bugs in software, hardware and apps using machine learning. Traditionally its use has been in labs by threat researchers. It is not a common a technique that hackers use. Hackers only have limited ability to use artificial intelligence fuzzing but this is changing.
In labs threat researchers introduce unexpected and invalid data into a program or software interface. They then monitor the system to see how it reacts. Researchers look for crash events, code assertations that fail, potential memory leaks and debug routines.
Fuzzing is complex and difficult to do. You need a high level of experience to develop and run fuzzing tools that work. This is why hackers do not use these complex techniques except in simpler to execute DDoS attacks. But cybercriminals continue developing new ways to attack and test techniques for effectiveness.
There are countless vulnerabilities hackers can discover and exploit in commercial apps, software and hardware on the market. What holds them back is here are few fuzzing tools available or people with the expertise to develop them. Their expertise is growing but it takes a lot of money to develop and use fuzzing tools. So they need backers.
Hackers will soon use artificial intelligence fuzzing
Now there is artificial intelligence, hackers are learning to use fuzzing to find and misuse bugs in software and hardware. As this process becomes more widely available, hackers will develop automated fuzzing programs to speed up finding zero-day vulnerabilities on business applications.
This can mean using two phases for machine learning: discovery and exploit. AI fuzzing discovers how the target functions, and its requirements and patterns. It then introduces purpose-built data into the targeted software. Hackers track how it reacts and use machine learning to perfect an attack until it uncovers a break. When this happens, they are exploiting and discovering vulnerabilities at the same time.
Trained hackers can use the machine learning technique to run it on it a continuous basis to find more Zero Day weaknesses in the target to exploit them.
Serious boost to the hacker community
Organisations are interrupting hackers by adopting new technologies and techniques. These include automation and machine learning that replaces time-consuming complex tasks that normally need human intervention. This impacts hackers so they have to change tactics when former attack methods no longer work. Cybercriminal organisations will revaluate their people technology, processes and the financial returns from their attack methods.
With AI fuzzing, hackers can increase the level of vulnerabilities and exploits they use. This enables a higher level of sophistication in the method of targeted attacks on companies. The may even eventually offer Zero Day mining services to other cybercriminals. If this happens, organisations will need to completely rethink their approach to security as they have no way of forecasting where the zero-day vulnerabilities are in advance. This will leave organisations unable to defend against these attacks especially if they are still using outdated tools in their network.
Talk to the experts at Rightsize Technology. We understand the industry and can help to implement security techniques that will protect you into the future.
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