New disclosures regarding the widespread exploitation of CVE-2023-34362, a new vulnerability affecting the MOVEit file transfer software, and the Cl0p ransomware group’s claim of responsibility for its widespread exploitation and the resulting data theft, have continued in the weeks since the vulnerability’s original publication.
Applications of machine learning have grown exponentially over the past few years and with it, the possibilities of malicious attacks targeting it through any vulnerabilities present.
The Java Development Kit (JDK) library's java.security package is one of the most important packages, yet despite consistent updates, it remains vastly underutilized. In light of the increased emphasis on cybersecurity frameworks, including zero trust, it's imperative for Java developers to become familiar with Java SE's security libraries. As with any other field in information technology, cybersecurity has a capricious nature. After all, it has to keep up with the latest trends in cybercrime.
Last week, a vulnerability in the popular MOVEit managed file transfer service was exploited by the CL0P ransomware gang to execute data breaches – an increasingly common cybersecurity attack technique where popular software is exploited to target, by extension, their users. Victims of this hack include British Airways, Boots, BBC, and multiple US government agencies.
Every news article about a threat group or attack floods the reader with classifications: nation-state groups, hacktivists, cyberterrorists, etc. But how can we define who is what? How can we differentiate between said categories? How should we deal with potential classification overlaps? Especially in the ever-evolving cyberwarfare realm, how can we approach these closely rooted phenomena?