USN-8291-3: Linux kernel (Low Latency) vulnerabilities

Several security issues were discovered in the Linux kernel. An attacker could possibly use these to compromise the system. This update corrects flaws in the following subsystems: - SMB network file system; - Netfilter; - iouring subsystem; CVE-2024-35862, CVE-2024-50060, CVE-2026-23274,...

TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic Via Asymmetric Contrastive Learning

Decompositional jailbreaks pose a critical threat to large language models LLMs by allowing adversaries to fragment a malicious objective into a sequence of individually benign queries that collectively reconstruct prohibited content. In real-world deployments, LLMs face a continuous, untraceable...

VulnScout-C: A Lightweight Transformer for C Code Vulnerability Detection

Vulnerability detection in C programs is a critical challenge in software security. Although large language models LLMs achieve strong detection performance, their multi-billion-parameter scale makes them impractical for integration into development workflows requiring low latency and continuous...

Efficient Jailbreak Mitigation Using Semantic Linear Classification in a Multi-Staged Pipeline

Prompt injection and jailbreaking attacks pose persistent security challenges to large language model LLM-based systems. We present an efficient and systematically evaluated defense architecture that mitigates these threats through a lightweight, multi-stage pipeline. Its core component is a...

Think Fast: Real-Time IoT Intrusion Reasoning Using IDS and LLMs at the Edge Gateway

As the number of connected IoT devices continues to grow, securing these systems against cyber threats remains a major challenge, especially in environments with limited computational and energy resources. This paper presents an edge-centric Intrusion Detection System IDS framework that integrate...

GraphFaaS: Serverless GNN Inference for Burst-Resilient, Real-Time Intrusion Detection

Provenance-based intrusion detection is an increasingly popular application of graphical machine learning in cybersecurity, where system activities are modeled as provenance graphs to capture causality and correlations among potentially malicious actions. Graph Neural Networks GNNs have...

Astra Linux - уязвимость в linux-6.12

In the Linux kernel, the following vulnerability has been resolved: ice: fix NULL access of tx-inuse in icelltsintr Recent versions of the E810 firmware have support for an extra interrupt to handle report of the "low latency" Tx timestamps coming from the specialized low latency firmware...

ExPrESSO: Zero-Knowledge Backed Extensive Privacy Preserving Single Sign-On

User authentication is one of the most important aspects for secure communication between services and end-users over the Internet. Service providers leverage Single-Sign On SSO to make it easier for their users to authenticate themselves. However, standardized systems for SSO, such as OIDC, do n...

Finding Phones Fast: Low-Latency and Scalable Monitoring of Cellular Communications in Sensitive Areas

The widespread availability of cellular devices introduces new threat vectors that allow users or attackers to bypass security policies and physical barriers and bring unauthorized devices into sensitive areas. These threats can arise from user non-compliance or deliberate actions aimed at data...

UBUNTU-CVE-2025-39854

In the Linux kernel, the following vulnerability has been resolved: ice: fix NULL access of tx-inuse in icelltsintr Recent versions of the E810 firmware have support for an extra interrupt to handle report of the "low latency" Tx timestamps coming from the specialized low latency firmware...

Inside Wallarm Security Edge: Instant Protection at the API Edge

APIs are now the beating heart of digital infrastructure. But as they have risen in importance, they’ve also become prime targets for attackers. Complex, often poorly understood API behaviors present rich opportunities for exploitation, and too often, security teams are left scrambling to protect...

Reducing False Positives with Active Behavioral Analysis for Cloud Security

Rule-based cloud security posture management CSPM solutions are known to produce a lot of false positives based on the limited contextual understanding and dependence on static heuristics testing. This paper introduces a validation-driven methodology that integrates active behavioral testing in...

Drone Detection with Event Cameras

The diffusion of drones presents significant security and safety challenges. Traditional surveillance systems, particularly conventional frame-based cameras, struggle to reliably detect these targets due to their small size, high agility, and the resulting motion blur and poor performance in...

Dynamic Temporal Positional Encodings for Early Intrusion Detection in IoT

The rapid expansion of the Internet of Things IoT has introduced significant security challenges, necessitating efficient and adaptive Intrusion Detection Systems IDS. Traditional IDS models often overlook the temporal characteristics of network traffic, limiting their effectiveness in early thre...

Leveraging Photonic Interconnects for Scalable and Efficient Fully Homomorphic Encryption

Fully Homomorphic Encryption FHE facilitates secure computations on encrypted data but imposes significant demands on memory bandwidth and computational power. While current FHE accelerators focus on optimizing computation, they often face bandwidth limitations that result in performance...

Real-Time, Low-Latency Surveillance Using Entropy-Based Adaptive Buffering and MobileNetV2 on Edge Devices

This paper describes a high-performance, low-latency video surveillance system designed for resource-constrained environments. We have proposed a formal entropy-based adaptive frame buffering algorithm and integrated that with MobileNetV2 to achieve high throughput with low latency. The system is...

Enhance Your Edge Native Apps with Low Latency Using Multiple EdgeWorkers

Learn how Flexible Composition lets you seamlessly deploy multiple EdgeWorkers in a single request for easier-to-build, scalable, edge native applications...

Think Twice Before You Act: Enhancing Agent Behavioral Safety with Thought Correction

LLM-based autonomous agents possess capabilities such as reasoning, tool invocation, and environment interaction, enabling the execution of complex multi-step tasks. The internal reasoning process, i.e., thought, of behavioral trajectory significantly influences tool usage and subsequent actions...

USN-7238-3: Linux kernel (Low Latency) vulnerabilities

Several security issues were discovered in the Linux kernel. An attacker could possibly use these to compromise the system. This update corrects flaws in the following subsystems: - Network traffic control; - VMware vSockets driver; CVE-2024-53103, CVE-2024-53164...

USN-7089-7: Linux kernel (Low Latency) vulnerabilities

Chenyuan Yang discovered that the USB Gadget subsystem in the Linux kernel did not properly check for the device to be enabled before writing. A local attacker could possibly use this to cause a denial of service. CVE-2024-25741 Several security issues were discovered in the Linux kernel. An...