Demand-Driven Vulnerability Detection for Cloud Security Posture Management: Removing Human Rule Authoring from the Disclosure-To-Protection Critical Path

Cloud Security Posture Management CSPM systems detect known vulnerabilities by maintaining a rule set, distributing it to customers, and evaluating it against periodically-collected asset inventories. To our knowledge, in publicly documented architectures the rule set is environment-agnostic and...

TinyML-Driven Cybersecurity for Autonomous Spacecraft: Latency-Accuracy Analysis for SPARTA RF and Cyber Threat Detection

Autonomous spacecraft require rapid, lightweight, and reliable onboard detection of cyber-RF threats. Using the SPARTA attack model, we analyze the latency-accuracy trade-offs of TinyML-compatible classical models -- Random Forest, Logistic Regression, SVM, and MLP -- for detecting uplink jamming...

On the Evaluation of Spiking Neural Network Configurations for Network Intrusion Detection

Network intrusion detection is a core component of modern cybersecurity infrastructure, yet the deep learning models that dominate the field are computationally demanding, motivating interest in lightweight alternatives suited to edge and neuromorphic deployment. Spiking Neural Networks SNNs are...

CVE-2026-45410 Time-based user enumeration in TREK authentication endpoint

TREK is a collaborative travel planner. Prior to 3.0.18, early return on missing user during login flow allowed an attacker to enumerate valid user accounts via response timing discrepancy. When an email address existed in the database, the backend performed a bcrypt password comparison before...

EUVD-2026-33070

TREK is a collaborative travel planner. Prior to 3.0.18, early return on missing user during login flow allowed an attacker to enumerate valid user accounts via response timing discrepancy. When an email address existed in the database, the backend performed a bcrypt password comparison before...

PT-2026-44554

Name of the Vulnerable Software and Affected Versions TREK versions prior to 3.0.18 Description An issue in the login flow allows an attacker to enumerate valid user accounts by analyzing response timing discrepancies. When a provided email address exists in the database, the backend executes a...

Efficient and Quantum-Safe Internet Key Exchange Protocols for Satellite Communications

This paper studies cryptographic key exchange in satellite communications, which requires specific solutions because the satellite context presents unique challenges, particularly concerning onboard resource constraints and long transmission latency. We address these challenges by considering the...

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,...

USN-8291-2: 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,...

Astra Linux – Vulnerability in Linux 5.10

In the Linux kernel, the following vulnerability has been resolved: Media: MediTech; vcodec: Cannot set dstbuffer to done when a late decoding error occurs. The core thread will call v4l2m2mbufdone to set the dstbuffer as done for the late architecture. If v4l2m2mbufdoneandjobfinish is called lat...

Astra Linux – Vulnerability in Linux 5.10

In the Linux kernel, the following vulnerability has been resolved: scsi: ufs: core: Fix data race in CPU latency PM QoS request handling The cpulatencyqosadd/remove/updaterequest interfaces lack internal synchronization by design, requiring the caller to ensure thread safety. The current...

kv-cache-side-channel-poc

KV Cache Side-Channel: Cross-Tenant Timing Oracle Proof of co...

WARD: Adversarially Robust Defense of Web Agents against Prompt Injections

Web agents can autonomously complete online tasks by interacting with websites, but their exposure to open web environments makes them vulnerable to prompt injection attacks embedded in HTML content or visual interfaces. Existing guard models still suffer from limited generalization to unseen...

Can a Single Message Paralyze the AI Infrastructure? the Rise of AbO-DDoS Attacks through Targeted Mobius Injection

Large Language Model LLM agents have emerged as key intermediaries, orchestrating complex interactions between human users and a wide range of digital services and LLM infrastructures. While prior research has extensively examined the security of LLMs and agents in isolation, the systemic risk of...

AI Survey: 50% of Organizations Struggle to Maintain Latency at Scale

The Akamai State of AI Inference report captures real data from the field that describes how AI inference is being built and scaled in production today...

Self-Adaptive Multi-Agent LLM-Based Security Pattern Selection for IoT Systems

The adoption of Internet of Things IoT systems at the network edge of smart architectures is increasing rapidly, intensifying the need for security mechanisms that are both adaptive and resource-efficient. In such environments, runtime defence mechanisms are no longer limited to detection alone b...

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...

EDySec: A Deep Learning-Based Explainable Dynamic Analysis Framework for Detecting Malicious Packages in PyPI Ecosystem

The security of open-source software repositories is increasingly threatened by next-gen software supply chain attacks. These attacks include multiphase malware execution, remote access activation, and dynamic payload generation. Traditional Machine Learning ML detectors struggle to detect these...

Network Impact of Post-Quantum Certificate Chain Sizes on Time to First Byte in TLS Deployments

Post-Quantum Cryptography PQC is a rapidly growing deployment challenge as cryptographically relevant quantum computers CRQC continue to advance, leaving traditional cryptographic algorithms used in X.509 vulnerable to attack. However, PQC introduces significant deployment challenges in real-worl...

RowHammer Vulnerability Counter (RVC): Redefining RowHammer Detection with Victim-Centric Tracking

The Rowhammer vulnerability poses an increasing challenge with newer generations of DRAM and aggressive technology scaling. Existing mitigation techniques, such as Graphene, Twice, and Hydra, primarily rely on tracking activation counts for each row and issuing refreshes when a row reaches a...