SUSE-SU-2026:21506-1 Security update for the Linux Kernel RT (Live Patch 6 for SUSE Linux Enterprise Micro 6.0)

This update for the SUSE Linux Enterprise Kernel 6.4.0-28.1 fixes various security issues The following security issues were fixed: - CVE-2025-38375: virtio-net: ensure the received length does not exceed allocated size bsc1258073. - CVE-2025-39977: futex: Prevent use-after-free during requeue-PI...

Internet of Things Security: A Survey on Common Attacks

The exponential growth of the Internet of Things IoT has integrated connected devices into various sectors like smart cities, digital health, and Industry 4.0, generating vast amounts of real-time data to support intelligent decision-making. However, this widespread adoption is fundamentally...

OpenSOC-AI: Democratizing Security Operations with Parameter Efficient LLM Log Analysis

Small and medium sized businesses SMBs face an escalating cybersecurity threat landscape, yet most lack the resources to staff full Security Operations Centers SOCs or deploy enterprise grade detection platforms. This paper presents OpenSOC-AI, a lightweight log analysis framework that uses...

DrvEye

drivertool A static-analysis & exploitation-triage toolkit...

Vulnerability Identification by Harnessing Inter-Connected Multi-Source Information

The utilization of third-party open-source libraries is widespread in modern software development. Due to the dependency relationships, vulnerabilities within open-source libraries pose significant security threats to downstream software. However, the library vulnerabilities are usually implicitl...

Detecting Concept Drift in Evolving Malware Families Using Rule-Based Classifier Representations

This work proposes a structural approach to concept drift detection in malware classification using decision tree rulesets. Classifiers are trained across temporal windows on the EMBER2024 dataset, and drift is quantified by comparing extracted rule representations using feature importance,...

kernel: net/sched: cls_u32: use skb_header_pointer_careful()

In the Linux kernel, the following vulnerability has been resolved: net/sched: clsu32: use skbheaderpointercareful skbheaderpointer does not fully validate negative @offset values. Use skbheaderpointercareful instead. GangMin Kim provided a report and a repro fooling u32classify: BUG: KASAN:...

kernel: net/sched: cls_u32: use skb_header_pointer_careful()

In the Linux kernel, the following vulnerability has been resolved: net/sched: clsu32: use skbheaderpointercareful skbheaderpointer does not fully validate negative @offset values. Use skbheaderpointercareful instead. GangMin Kim provided a report and a repro fooling u32classify: BUG: KASAN:...

CVE-2026-31421 net/sched: cls_fw: fix NULL pointer dereference on shared blocks

In the Linux kernel, the following vulnerability has been resolved: net/sched: clsfw: fix NULL pointer dereference on shared blocks The old-method path in fwclassify calls tcfblockq and dereferences q-handle. Shared blocks leave block-q NULL, causing a NULL deref when an empty clsfw filter is...

sigma-audit

Sigma Stack Audit Full-spectrum security audit combining five...

SUSE-SU-2026:1287-1 Security update for the Linux Kernel (Live Patch 70 for SUSE Linux Enterprise 12 SP5)

This update for the SUSE Linux Enterprise Kernel 4.12.14-122.266 fixes various security issues The following security issues were fixed: - CVE-2023-53794: cifs: fix session state check in reconnect to avoid use-after-free issue bsc1255235. - CVE-2025-39973: i40e: add validation for ringlen param...

Machine Learning-Based Detection of MCP Attacks

The Model Context Protocol MCP is a new and emerging technology that extends the functionality of large language models, improving workflows but also exposing users to a new attack surface. Several studies have highlighted related security flaws, but MCP attack detection remains underexplored. To...

Automated Malware Family Classification Using Weighted Hierarchical Ensembles of Large Language Models

Malware family classification remains a challenging task in automated malware analysis, particularly in real-world settings characterized by obfuscation, packing, and rapidly evolving threats. Existing machine learning and deep learning approaches typically depend on labeled datasets, handcrafted...

kernel: net/sched: cls_u32: use skb_header_pointer_careful()

In the Linux kernel, the following vulnerability has been resolved: net/sched: clsu32: use skbheaderpointercareful skbheaderpointer does not fully validate negative @offset values. Use skbheaderpointercareful instead. GangMin Kim provided a report and a repro fooling u32classify: BUG: KASAN:...

PT-2026-29119

Name of the Vulnerable Software and Affected Versions SakaDev affected versions not specified Description SakaDev’s automatic terminal command execution feature, designed with ‘safe’ and ‘all commands’ options, is prone to prompt injection attacks. The system aims to automatically execute command...

Context-Aware Phishing Email Detection Using Machine Learning and NLP

Phishing attacks remain among the most prevalent cybersecurity threats, causing significant financial losses for individuals and organizations worldwide. This paper presents a machine learning-based phishing email detection system that analyzes email body content using natural language processing...

Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models

Large language models LLMs increasingly rely on explicit chain-of-thought CoT reasoning to solve complex tasks, yet the safety of the reasoning process itself remains largely unaddressed. Existing work on LLM safety focuses on content safety--detecting harmful, biased, or factually incorrect...

AWS VDP: Encryption context keys and values logged at INFO level

Component: cmd/server/main.go:101-106 Affected Version: aws-encryption-provider @ 4341c70 all versions Found by: Source audit TLP: TLP:Amber --- Summary The server startup code logs all encryption context key-value pairs at INFO level. Encryption context is metadata associated with KMS operations...

Improving Generalization on Cybersecurity Tasks with Multi-Modal Contrastive Learning

The use of ML in cybersecurity has long been impaired by generalization issues: Models that work well in controlled scenarios fail to maintain performance in production. The root cause often lies in ML algorithms learning superficial patterns shortcuts rather than underlying cybersecurity concept...

nah Claude Code Tool

Claude Code's permission system is allow-or-deny per tool, but that doesn't really scale. Deleting some files is fine sometimes. And git checkout is sometimes catastrophic. Even when you curate permissions, 200 IQ Opus can find a way around it. Maintaining a deny list is a fool’s errand. What's...