EUVD-2021-15346

Malware in sbrugna...

Enhancing Automotive Security with a Hybrid Approach Towards Universal Intrusion Detection System

Security measures are essential in the automotive industry to detect intrusions in-vehicle networks. However, developing a one-size-fits-all Intrusion Detection System IDS is challenging because each vehicle has unique data profiles. This is due to the complex and dynamic nature of the data...

Unity Linux 20.1070e Security Update: kernel (UTSA-2025-986492)

The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2025-986492 advisory. In the Linux kernel, the following vulnerability has been resolved: scsi: Revert scsi: fcoe: Fix potential deadlock on &fip-ctlrlock This reverts commit...

CVE-2023-53428

In the Linux kernel, the following vulnerability has been resolved: powercap: armscmi: Remove recursion while parsing zones Powercap zones can be defined as arranged in a hierarchy of trees and when registering a zone with powercapregisterzone, the kernel powercap subsystem expects this to happen...

DEBIAN-CVE-2023-53428

In the Linux kernel, the following vulnerability has been resolved: powercap: armscmi: Remove recursion while parsing zones Powercap zones can be defined as arranged in a hierarchy of trees and when registering a zone with powercapregisterzone, the kernel powercap subsystem expects this to happen...

CVE-2023-53428

CVE-2023-53428 affects the Linux kernel powercap subsystem, specifically the arm_scmi implementation. The issue arises when powercap zones are retrieved from platforms and registered in a hierarchical tree; the current recursive walk can cause kernel stack overflow for large trees. The fix replac...

CVE-2023-53410 USB: ULPI: fix memory leak with using debugfs_lookup()

In the Linux kernel, the following vulnerability has been resolved: USB: ULPI: fix memory leak with using debugfslookup When calling debugfslookup the result must have dput called on it, otherwise the memory will leak over time. To make things simpler, just call debugfslookupandremove instead whi...

Microsoft Purview innovations for your Fabric data: Unify data security and governance for the AI era

The Microsoft Fabric and Purview teams are thrilled to participate in the European Microsoft Fabric Community Conference September 15-18, 2025, in Vienna, Austria. This event is Microsoft’s largest tech conference in Europe, where data professionals gather to connect and share insights on data,...

DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift

Malware detection in real-world settings must deal with evolving threats, limited labeling budgets, and uncertain predictions. Traditional classifiers, without additional mechanisms, struggle to maintain performance under concept drift in malware domains, as their supervised learning formulation...

What Security Should Look Like When Built for Developers

Security tools should support the way developers actually work. Here’s how we’re reimagining what that looks like...

Product Walkthrough: A Look Inside Pillar's AI Security Platform

In this article, we will provide a brief overview of Pillar Security's platform to better understand how they are tackling AI security challenges. Pillar Security is building a platform to cover the entire software development and deployment lifecycle with the goal of providing trust in AI system...

Email Security Is Stuck in the Antivirus Era: Why It Needs a Modern Approach

Picture this: you've hardened every laptop in your fleet with real‑time telemetry, rapid isolation, and automated rollback. But the corporate mailbox—the front door for most attackers—is still guarded by what is effectively a 1990s-era filter. This isn't a balanced approach. Email remains a prima...

Security Loophole in Error Verification in Quantum Key Distribution

The security of quantum key distribution QKD is evaluated based on the secrecy of Alice's key and the correctness of the keys held by Alice and Bob. A practical method for ensuring correctness is known as error verification, in which Alice and Bob reveal a portion of their reconciled keys and che...

Jamming-Resistant AAV Communications: a Multichannel-Aided Approach

Jamming cancellation is essential to reliable unmanned autonomous vehicle AAV communications in the presence of malicious jammers. In this paper, we develop a practical multichannel-aided jamming cancellation method to realize secure AAV communications. The proposed method is capable of...

Hybrid LLM-Enhanced Intrusion Detection for Zero-Day Threats in IoT Networks

This paper presents a novel approach to intrusion detection by integrating traditional signature-based methods with the contextual understanding capabilities of the GPT-2 Large Language Model LLM. As cyber threats become increasingly sophisticated, particularly in distributed, heterogeneous, and...

FuncVul: an Effective Function Level Vulnerability Detection Model Using LLM and Code Chunk

Software supply chain vulnerabilities arise when attackers exploit weaknesses by injecting vulnerable code into widely used packages or libraries within software repositories. While most existing approaches focus on identifying vulnerable packages or libraries, they often overlook the specific...

From LLMs to MLLMs to Agents: a Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem

Large language models LLMs are rapidly evolving from single-modal systems to multimodal LLMs and intelligent agents, significantly expanding their capabilities while introducing increasingly severe security risks. This paper presents a systematic survey of the growing complexity of jailbreak...

UBUNTU-CVE-2025-38010

In the Linux kernel, the following vulnerability has been resolved: phy: tegra: xusb: Use a bitmask for UTMI pad power state tracking The current implementation uses biaspadenable as a reference count to manage the shared bias pad for all UTMI PHYs. However, during system suspension with connecte...

PT-2025-25453 · Undefined · Undefined

CVE-2025-46169 JSTargetFuzzer-V2 JSTargetFuzzer-v2.0 is a fuzzing approach that incorporates novel history-based guidance, using tailored seeds and custom mutation operators. It is built on top of the Fuzzilli fra... https://t.co/3dWy3uR39j...

PT-2025-25452 · Undefined · Undefined

CVE-2025-46168 JSTargetFuzzer-V2 JSTargetFuzzer-v2.0 is a fuzzing approach that incorporates novel history-based guidance, using tailored seeds and custom mutation operators. It is built on top of the Fuzzilli fra... https://t.co/ioVUFu93Dp...