CVE-2026-23011

In the Linux kernel, the following vulnerability has been resolved: ipv4: ipgre: make ipgreheader robust Analog to commit db5b4e39c4e6 "ip6gre: make ip6greheader robust" Over the years, syzbot found many ways to crash the kernel in ipgreheader 1. This involves team or bonding drivers ability to...

CVE-2026-23011

In the Linux kernel, the following vulnerability has been resolved: ipv4: ipgre: make ipgreheader robust Analog to commit db5b4e39c4e6 "ip6gre: make ip6greheader robust" Over the years, syzbot found many ways to crash the kernel in ipgreheader 1. This involves team or bonding drivers ability to...

UBUNTU-CVE-2026-22983

In the Linux kernel, the following vulnerability has been resolved: net: do not write to msggetinq in callee NULL pointer dereference fix. msggetinq is an input field from caller to callee. Don't set it in the callee, as the caller may not clear it on struct reuse. This is a kernel-internal varia...

CAFE-GB: Scalable and Stable Feature Selection for Malware Detection Via Chunk-Wise Aggregated Gradient Boosting

High-dimensional malware datasets often exhibit feature redundancy, instability, and scalability limitations, which hinder the effectiveness and interpretability of machine learning-based malware detection systems. Although feature selection is commonly employed to mitigate these issues, many...

Blue Teaming Function-Calling Agents

We present an experimental evaluation that assesses the robustness of four open source LLMs claiming function-calling capabilities against three different attacks, and we measure the effectiveness of eight different defences. Our results show how these models are not safe by default, and how the...

UBUNTU-CVE-2025-71098

In the Linux kernel, the following vulnerability has been resolved: ip6gre: make ip6greheader robust Over the years, syzbot found many ways to crash the kernel in ip6greheader 1. This involves team or bonding drivers ability to dynamically change their dev-neededheadroom and/or dev-hardheaderlen ...

CVE-2025-71098 ip6_gre: make ip6gre_header() robust

In the Linux kernel, the following vulnerability has been resolved: ip6gre: make ip6greheader robust Over the years, syzbot found many ways to crash the kernel in ip6greheader 1. This involves team or bonding drivers ability to dynamically change their dev-neededheadroom and/or dev-hardheaderlen ...

CVE-2025-71098 ip6_gre: make ip6gre_header() robust

In the Linux kernel, the following vulnerability has been resolved: ip6gre: make ip6greheader robust Over the years, syzbot found many ways to crash the kernel in ip6greheader 1. This involves team or bonding drivers ability to dynamically change their dev-neededheadroom and/or dev-hardheaderlen ...

PT-2026-4673

Name of the Vulnerable Software and Affected Versions Linux kernel affected versions not specified Description The Linux kernel contains a flaw in the ipv4/ip gre module related to the ipgre header function. This issue can lead to kernel crashes when devices dynamically change their headroom or...

Zero-Trust Agentic Federated Learning for Secure IIoT Defense Systems

Recent attacks on critical infrastructure, including the 2021 Oldsmar water treatment breach and 2023 Danish energy sector compromises, highlight urgent security gaps in Industrial IoT IIoT deployments. While Federated Learning FL enables privacy-preserving collaborative intrusion detection,...

Failure Analysis of Safety Controllers in Autonomous Vehicles under Object-Based LiDAR Attacks

Autonomous vehicles rely on LiDAR based perception to support safety critical control functions such as adaptive cruise control and automatic emergency braking. While previous research has shown that LiDAR perception can be manipulated through object based spoofing and injection attacks, the impa...

IoT-Based Android Malware Detection Using Graph Neural Network with Adversarial Defense

Since the Internet of Things IoT is widely adopted using Android applications, detecting malicious Android apps is essential. In recent years, Android graph-based deep learning research has proposed many approaches to extract relationships from applications as graphs to generate graph embeddings...

SoK: Understanding (New) Security Issues across AI4Code Use Cases

AI-for-Code AI4Code systems are reshaping software engineering, with tools like GitHub Copilot accelerating code generation, translation, and vulnerability detection. Alongside these advances, however, security risks remain pervasive: insecure outputs, biased benchmarks, and susceptibility to...

Enhancing Decision-Making in Windows PE Malware Classification during Dataset Shifts with Uncertainty Estimation

Artificial intelligence techniques have achieved strong performance in classifying Windows Portable Executable PE malware, but their reliability often degrades under dataset shifts, leading to misclassifications with severe security consequences. To address this, we enhance an existing LightGBM...

CVE-2025-68187

In the Linux kernel, the following vulnerability has been resolved: net: mdio: Check regmap pointer returned by devicenodetoregmap The call to devicenodetoregmap in airohamdioprobe can return an ERRPTR if regmap initialization fails. Currently, the driver stores the pointer without validation,...

CVE-2025-68187 net: mdio: Check regmap pointer returned by device_node_to_regmap()

In the Linux kernel, the following vulnerability has been resolved: net: mdio: Check regmap pointer returned by devicenodetoregmap The call to devicenodetoregmap in airohamdioprobe can return an ERRPTR if regmap initialization fails. Currently, the driver stores the pointer without validation,...

PT-2025-51600

Name of the Vulnerable Software and Affected Versions Linux kernel affected versions not specified Description A flaw exists in the Linux kernel's networking subsystem related to the management data input/output mdio interface. Specifically, the device node to regmap function within airoha mdio...

FiD-QAE: A Fidelity-Driven Quantum Autoencoder for Credit Card Fraud Detection

Credit card fraud detection is a critical task in financial security, as fraudulent transactions are rare, highly imbalanced, and often resemble legitimate ones. A wide range of classical machine learning methods, as well as more recent quantum machine learning approaches, have been investigated ...

Authority Backdoor: A Certifiable Backdoor Mechanism for Authoring DNNs

Deep Neural Networks DNNs, as valuable intellectual property, face unauthorized use. Existing protections, such as digital watermarking, are largely passive; they provide only post-hoc ownership verification and cannot actively prevent the illicit use of a stolen model. This work proposes a...

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features

Phishing is a cybercrime in which individuals are deceived into revealing personal information, often resulting in financial loss. These attacks commonly occur through fraudulent messages, misleading advertisements, and compromised legitimate websites. This study proposes a Quantile Regression De...