Threat-Oriented Digital Twinning for Security Evaluation of Autonomous Platforms

Open, unclassified research on secure autonomy is constrained by limited access to operational platforms, contested communications infrastructure, and representative adversarial test conditions. This paper presents a threat-oriented digital twinning methodology for cybersecurity evaluation of...

EUVD-2025-30349

Malicious code in bioql PyPI...

CVE-2025-39851 vxlan: Fix NPD when refreshing an FDB entry with a nexthop object

In the Linux kernel, the following vulnerability has been resolved: vxlan: Fix NPD when refreshing an FDB entry with a nexthop object VXLAN FDB entries can point to either a remote destination or an FDB nexthop group. The latter is usually used in EVPN deployments where learning is disabled...

PT-2025-38558

Name of the Vulnerable Software and Affected Versions Linux kernel affected versions not specified Description A vulnerability exists in the Linux kernel related to VXLAN FDB entries. Specifically, when learning is enabled, an incoming packet attempting to refresh an FDB entry pointing to an FDB...

Monitor and Recover: a Paradigm for Future Research on Distribution Shift in Learning-Enabled Cyber-Physical Systems

With the known vulnerability of neural networks to distribution shift, maintaining reliability in learning-enabled cyber-physical systems poses a salient challenge. In response, many existing methods adopt a detect and abstain methodology, aiming to detect distribution shift at inference time so...

Microsoft recognized as a Leader in The Forrester Wave™: Data Security Platforms, Q1 2023

Organizations need to protect their sensitive data including intellectual property, trade secrets, customer data, and personally identifiable information from both insiders and external cyber attackers. In fact, 80 percent of organizations experience more than one data breach in their lifetime.1...