From the factory floor to online shopping, the benefits of automation are clear: Larger quantities of products and services can be produced much faster. But automation can also be used for malicious purposes, as illustrated by the ongoing software supply chain attack targeting the NPM package repository. By automating the process of creating and publishing malicious packages, the threat actor behind this campaign has taken things to a new scale.
As the conflict in Eastern Europe continues, the Splunk Threat Research Team (STRT) is constantly monitoring new developments, especially those related to destructive software. As we have showcased in previous releases in relation to destructive software and HermeticWiper, malicious actors modify their TTPs in order to become more effective and achieve their objectives.
CrowdStrike data science researchers recently explored and experimented with the use of Bidirectional Encoder Representation from Transformers (BERT) for embedding command lines, focusing on anomaly detection, but without detailing the model itself. Diving deeper into that research, CrowdStrike researchers explain the reasons for using BERT for command line representation and how to train the model and assess its performance.
Imagine having to manually provision and configure every device in a large corporation. Then visualize the upgrade process. How about patching? Then, picture ensuring conformity on every device. Next, add some enterprise-wide IT governance changes that must be implemented. The process would be daunting, to say the least, every time.
A critical remote code execution (RCE) vulnerability was identified March 30th, 2022 for the Spring Framework. Spring core, used by millions of systems to develop Java web applications quickly, is one of the Java world’s most popular open source Java frameworks. The RCE vulnerability, if successfully exploited could potentially allow an attacker to take control of a vulnerable system.