The Art of Finding Zero-Day Vulnerabilities Using Open Source AI

Zero-day vulnerabilities are among the most elusive and dangerous security threats in the digital world. These vulnerabilities are flaws in software or hardware that are unknown to the vendor and exploited by malicious actors before a patch can be released. Detecting these vulnerabilities before they are exploited is an ongoing race between attackers and defenders. In recent years, open-source Artificial Intelligence (AI) tools have emerged as powerful assets for finding zero-day vulnerabilities. This blog will explore the art of detecting these vulnerabilities using open-source AI tools, outlining key strategies, methodologies, and examples to equip cybersecurity professionals with cutting-edge skills.

1. Introduction to Zero-Day Vulnerabilities

What are Zero-Day Vulnerabilities?

A zero-day vulnerability refers to a security flaw that has been discovered but not yet patched. The term “zero-day” signifies that the software or hardware vendor has had zero days to address and mitigate the vulnerability before it is exploited. Attackers often exploit these flaws to inject malware, steal data, or compromise entire systems. The high-profile nature of zero-day attacks, such as the WannaCry ransomware outbreak in 2017, has led to an…