Internet-wide scanning projects such as Shodan and Censys, scan the Internet and collect
active reconnaissance results for online devices. Access to this information is provided …

Recent results of machine learning for automatic vulnerability detection have been very
promising indeed: Given only the source code of a function $ f $, models trained by machine …

Ensuring that exploitable vulnerabilities do not exist in a piece of software written using type-
unsafe languages (eg, C/C++) is still a challenging, largely unsolved problem. Current …

Information security incidents currently affect organizations worldwide. In 2021, thousands of
companies suffered cyber attacks, resulting in billions of dollars in losses. Most of these …

The Common Vulnerabilities and Exposures (CVE) are pivotal information for proactive
cybersecurity measures, including service patching, security hardening, and more. However …

The Common Vulnerabilities and Exposures (CVE) represent standard means for sharing
publicly known information security vulnerabilities. One or more CVEs are grouped into the …

With the increasing adoption of cloud computing, securing cloud-based systems and
applications has become a critical concern for almost every organization. Traditional security …

Due to the powerful automatic feature extraction, deep learning-based vulnerability
detection methods have evolved significantly in recent years. However, almost all current …

Vulnerability Management, which is a vital part of risk and resiliency management efforts, is
a continuous process of identifying, classifying, prioritizing, and removing vulnerabilities on …

With the advent of the Internet, the activities of individuals and businesses have expanded
into the online realm. As a result, vulnerabilities that result in actual breaches can lead to …