Linux kernel 安全漏洞

The Linux kernel is the core of the open-source operating system Linux, developed by the Linux Foundation in the United States. There is a security vulnerability in the Linux kernel, caused by an error in the bridge decision-making process in the netfilter nfnetlinkqueue module. This issue may le...

Building Strategic Advantage With Integrated Planning

Siloed planning slows decisions and hides risk. Integrated business planning connects finance, demand, supply, and strategy into a single disciplined cycle...

CVE-2026-43029

In the Linux kernel, the following vulnerability has been resolved: mptcp: fix soft lockup in mptcprecvmsg syzbot reported a soft lockup in mptcprecvmsg 0. When receiving data with MSGPEEK | MSGWAITALL flags, the skb is not removed from the skreceivequeue. This causes skwaitdata to always find...

A Comparative Analysis of Machine Learning Models for Intrusion Detection in Intelligent Transport Systems

AI-powered edge computing security is moving Intelligent Transportation Systems ITS from passive, rule-based protections to proactive, smart, zero-touch, self-sufficient safeguards that neutralize threats in milliseconds. As transportation becomes more connected with edge computing, massive IoT,...

CVE-2026-41131

A flaw was found in OpenFGA, an authorization and permission engine. When certain authorization models use conditions with caching enabled, the system can incorrectly generate the same cache key for different requests. This error causes OpenFGA to reuse an outdated authorization decision,...

Large Language Models As Explainable Cyberattack Detectors for Energy Industrial Control Systems

In modern energy systems, industrial control systems ICS and power-system SCADA require intrusion detection that is not only accurate but also auditable by operators. The ICS intrusion-detection landscape is currently dominated by established supervised detectors. In this paper, we study whether ...

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,...

Can SOC Operators Explain Their Decisions While Triaging Alarms? A Real-World Study

Security Operations Centers SOCs are pivotal in modern enterprises. Tasked to monitor complex network environments constantly under attack, SOCs can be active 24/7 and can include hundreds of operators supported by state-of-the-art technologies. Abundant research has studied the internal processe...

What Security and Privacy Transparency Users Need from Consumer-Facing Generative AI

Users increasingly rely on consumer-facing generative AI GenAI for tasks ranging from everyday needs to sensitive use cases. Yet, it remains unclear whether and how existing security and privacy S&P communications in GenAI tools shape users' adoption decisions and subsequent experiences...

Insufficient Verification of Data Authenticity

Overview Affected versions of this package are vulnerable to Insufficient Verification of Data Authenticity via the decidedByUserId field in approval-related endpoints. An attacker can forge decision attribution by supplying an arbitrary user identifier in the request body, causing the system to...

CSLE: A Reinforcement Learning Platform for Autonomous Security Management

Reinforcement learning is a promising approach to autonomous and adaptive security management in networked systems. However, current reinforcement learning solutions for security management are mostly limited to simulation environments and it is unclear how they generalize to operational systems...

CVE-2026-0390

Reliance on untrusted inputs in a security decision in Windows Boot Loader allows an authorized attacker to bypass a security feature locally...

UEFI Secure Boot Security Feature Bypass Vulnerability

Reliance on untrusted inputs in a security decision in Windows Boot Loader allows an authorized attacker to bypass a security feature locally...

PT-2026-32716

Name of the Vulnerable Software and Affected Versions Windows Boot Loader affected versions not specified Description Reliance on untrusted inputs in a security decision allows an authorized attacker to bypass a security feature locally. Recommendations At the moment, there is no information abou...

CVE-2026-3566

After further discussion, the issue was determined to not meet the criteria for CVE assignment...

Reliance on Untrusted Inputs in a Security Decision

Overview openclaw is a 🦞 OpenClaw — Personal AI Assistant Affected versions of this package are vulnerable to Reliance on Untrusted Inputs in a Security Decision via the PIPINDEXURL and UVINDEXURL environment variables, which bypass host execution environment sanitization and redirect Python...

Seclens: Role-Specific Evaluation of LLM'S for Security Vulnerablity Detection

Existing benchmarks for LLM-based vulnerability detection compress model performance into a single metric, which fails to reflect the distinct priorities of different stakeholders. For example, a CISO may emphasize high recall of critical vulnerabilities, an engineering leader may prioritize...

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...

Synthetic Trust Attacks: Modeling How Generative AI Manipulates Human Decisions in Social Engineering Fraud

Imagine receiving a video call from your CFO, surrounded by colleagues, asking you to urgently authorise a confidential transfer. You comply. Every person on that call was fake, and you just lost $25 million. This is not a hypothetical. It happened in Hong Kong in January 2024, and it is becoming...

Reliance on Untrusted Inputs in a Security Decision

Overview openclaw is a 🦞 OpenClaw — Personal AI Assistant Affected versions of this package are vulnerable to Reliance on Untrusted Inputs in a Security Decision via the chat.send process. An attacker can inject unauthorized provenance fields by spoofing client identity metadata during the...