CVE-2026-68324

In the Linux kernel, the following vulnerability has been resolved: iommu/intel: Fix out-of-bounds memset in dmarlatencydisable dmarlatencydisable intends to zero out only the single latencystatistic entry for the given type, but the memset size was computed as sizeoflstat DMARLATENCYNUM, which...

CVE-2026-68324 iommu/intel: Fix out-of-bounds memset in dmar_latency_disable()

In the Linux kernel, the following vulnerability has been resolved: iommu/intel: Fix out-of-bounds memset in dmarlatencydisable dmarlatencydisable intends to zero out only the single latencystatistic entry for the given type, but the memset size was computed as sizeoflstat DMARLATENCYNUM, which...

CVE-2026-68324

This CVE concerns the Linux kernel’s IOMMU Intel DMAR latency code. The vulnerability arises in dmar_latency_disable(), which intends to clear only the single latency_statistic entry for the given type. However, the memset size was computed as sizeof(*lstat) * DMAR_LATENCY_NUM, causing the operat...

EUVD-2026-55425

In the Linux kernel, the following vulnerability has been resolved: iommu/intel: Fix out-of-bounds memset in dmarlatencydisable dmarlatencydisable intends to zero out only the single latencystatistic entry for the given type, but the memset size was computed as sizeoflstat DMARLATENCYNUM, which...

CVE-2026-64374

In the Linux kernel, the following vulnerability has been resolved: sched/rt: Have RTPUSHIPI be default off for non PREEMPTRT RT migration is done aggressively. When a CPU schedules out a high priority RT task for a lower priority task, it will look to see if there's any RT tasks that are waiting...

CVE-2026-64374

In the Linux kernel, the following vulnerability has been resolved: sched/rt: Have RTPUSHIPI be default off for non PREEMPTRT RT migration is done aggressively. When a CPU schedules out a high priority RT task for a lower priority task, it will look to see if there's any RT tasks that are waiting...

UBUNTU-CVE-2026-64374

In the Linux kernel, the following vulnerability has been resolved: sched/rt: Have RTPUSHIPI be default off for non PREEMPTRT RT migration is done aggressively. When a CPU schedules out a high priority RT task for a lower priority task, it will look to see if there's any RT tasks that are waiting...

CVE-2026-64374

CVE-2026-64374 concerns the Linux kernel’s RT scheduling path. The vulnerability stems from making RT_PUSH_IPI default off for non-PREEMPT_RT configurations, which could affect RT migration when high-priority RT tasks are scheduled across CPUs. The mechanism normally pulls RT tasks between CPUs u...

EUVD-2026-48918

In the Linux kernel, the following vulnerability has been resolved: sched/rt: Have RTPUSHIPI be default off for non PREEMPTRT RT migration is done aggressively. When a CPU schedules out a high priority RT task for a lower priority task, it will look to see if there's any RT tasks that are waiting...

CVE-2026-64359 nilfs2: reject CLEAN_SEGMENTS ioctl with out-of-range segment numbers

In the Linux kernel, the following vulnerability has been resolved: nilfs2: reject CLEANSEGMENTS ioctl with out-of-range segment numbers Syzbot reported a hung task in nilfstransactionbegin where multiple tasks performing chmod on a nilfs2 mount blocked for over 143 seconds waiting to acquire...

Linux Distros Unpatched Vulnerability : CVE-2026-64359

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - nilfs2: reject CLEANSEGMENTS ioctl with out-of-range segment numbers Syzbot reported a hung task in nilfstransactionbegin where multiple tasks performing chmod ...

MAL-2026-7310 Malicious code in latency-tracking-internal (npm)

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MAL-2026-7309 Malicious code in latency-tracking (npm)

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GHSA-C5R6-M4MR-8Q5J @jshookmcp/jshook: ICMP probe and traceroute skip local-network SSRF authorization

Summary The network domain has a central SSRF authorization policy that blocks private, loopback, link-local, and reserved targets unless an explicit authorization object allows private network access. The policy is enforced by raw HTTP/TCP/TLS RTT tools, but the ICMP probe and traceroute tools...

Context-Based Adversarial Attacks on AI Code Generators: Vulnerability Analysis and Implications

AI-powered code generation systems have transformed software development but introduce critical inference-time security vulnerabilities. This research presents a systematic investigation of context-based adversarial attacks, where strategically crafted contextual inputs, including comments,...

CVE-2026-39321

Parse Server is an open source backend that can be deployed to any infrastructure that can run Node.js. Prior to 9.8.0-alpha.6 and 8.6.74, he login endpoint response time differs measurably depending on whether the submitted username or email exists in the database. When a user is not found, the...

FDM: A Framework for Decision-Making to Build ML-Based Malware Detection Systems

Selecting appropriate machine learning ML configurations for malware detection is a complex, multi-criteria problem. Model choice, feature engineering, and update mechanisms must jointly satisfy operational constraints that vary across deployment contexts. This paper proposes the Framework for...

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...