…cyber-1.tech

When an attacker is able to insert malicious code or information into a user prompt or input field, like a search bar or login form, it is known as a prompt injection attack. The program or system subsequently executes the malicious input, giving the attacker access to manipulate the system, steal data, or carry out other harmful actions. 

The 2017 Equifax data breach is a notable illustration of a prompt injection attack. A flaw in the Apache Struts web framework was taken advantage of by attackers to inject malicious code into an online application prompt. Millions of Equifax consumers had their personal information stolen as a consequence, including names, Social Security numbers, birthdates, and residences. 

Another illustration is the 2018 Shopify data breach, when criminals were able to inject malicious code into payment fields by taking advantage of a flaw in the platform’s payment processing software. Names, addresses, and credit card numbers of customers’ payment information were stolen as a result of this. 

With the popular messaging service WhatsApp, researchers found a prompt injection vulnerability in 2020. Because of this flaw, hackers might insert malicious code into user discussions and potentially get access to private data including chat logs, contact lists, and media assets. 

In 2023, a prompt injection attack exposing the source code known as “Sydney” that discloses the code used to create the AI-powered Bing Chat bot causes the AI-powered Bing Chat to divulge sensitive information. 

In the field of cybersecurity, prompt injection attacks are becoming more and more of a worry since they can be challenging to identify and do serious harm to people and organizations. Maintaining software and systems with the most recent security updates and routinely auditing and testing systems for vulnerabilities are crucial for defending against these assaults. Users should also take caution when providing personal information in online forms or prompts and be on the lookout for applications’ or websites’ erratic behavior or any other questionable suggestions.