Alkaid: Resilience to Edit Errors in Provably Secure Steganography Via Distance-Constrained Encoding

While provably secure steganography provides strong concealment by ensuring stego carriers are indistinguishable from natural samples, such systems remain vulnerable to real-world edit errors e.g., insertions, deletions, substitutions because their decoding depends on perfect synchronization and...

AMDS: Attack-Aware Multi-Stage Defense System for Network Intrusion Detection with Two-Stage Adaptive Weight Learning

Machine learning based network intrusion detection systems are vulnerable to adversarial attacks that degrade classification performance under both gradient-based and distribution shift threat models. Existing defenses typically apply uniform detection strategies, which may not account for...

ThreatFormer-IDS: Robust Transformer Intrusion Detection with Zero-Day Generalization and Explainable Attribution

Intrusion detection in IoT and industrial networks requires models that can detect rare attacks at low false-positive rates while remaining reliable under evolving traffic and limited labels. Existing IDS solutions often report strong in-distribution accuracy, but they may degrade when evaluated ...

Lifecycle-Integrated Security for AI-Cloud Convergence in Cyber-Physical Infrastructure

The convergence of Artificial Intelligence AI inference pipelines with cloud infrastructure creates a dual attack surface where cloud security standards and AI governance frameworks intersect without unified enforcement mechanisms. AI governance, cloud security, and industrial control system...

Sparse Autoencoders Are Capable LLM Jailbreak Mitigators

Jailbreak attacks remain a persistent threat to large language model safety. We propose Context-Conditioned Delta Steering CC-Delta, an SAE-based defense that identifies jailbreak-relevant sparse features by comparing token-level representations of the same harmful request with and without...

Empirical Analysis of Adversarial Robustness and Explainability Drift in Cybersecurity Classifiers

Machine learning ML models are increasingly deployed in cybersecurity applications such as phishing detection and network intrusion prevention. However, these models remain vulnerable to adversarial perturbations small, deliberate input modifications that can degrade detection accuracy and...

SUSE SLED15 / SLES15 Security Update : bind (SUSE-SU-2026:0348-1)

The remote SUSE Linux SLED15 / SLEDSAP15 / SLES15 / SLESSAP15 host has packages installed that are affected by a vulnerability as referenced in the SUSE-SU-2026:0348-1 advisory. Upgrade to release 9.20.18: - CVE-2025-13878: Fixed incorrect length checks for BRID and HHIT records bsc1256997 Featur...

Optimal Transport-Guided Adversarial Attacks on Graph Neural Network-Based Bot Detection

The rise of bot accounts on social media poses significant risks to public discourse. To address this threat, modern bot detectors increasingly rely on Graph Neural Networks GNNs. However, the effectiveness of these GNN-based detectors in real-world settings remains poorly understood. In practice...

The Semantic Trap: Do Fine-Tuned LLMs Learn Vulnerability Root Cause or Just Functional Pattern?

LLMs demonstrate promising performance in software vulnerability detection after fine-tuning. However, it remains unclear whether these gains reflect a genuine understanding of vulnerability root causes or merely an exploitation of functional patterns. In this paper, we identify a critical failur...

ShellForge: Adversarial Co-Evolution of Webshell Generation and Multi-View Detection for Robust Webshell Defense

Webshells remain a primary foothold for attackers to compromise servers, particularly within PHP ecosystems. However, existing detection mechanisms often struggle to keep pace with rapid variant evolution and sophisticated obfuscation techniques that camouflage malicious intent. Furthermore, many...

SUSE 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...

openSUSE 16 Security Update : bind (openSUSE-SU-2026:20091-1)

The remote openSUSE 16 host has packages installed that are affected by a vulnerability as referenced in the openSUSE- SU-2026:20091-1 advisory. Upgrade to release 9.20.18: - CVE-2025-13878: Fixed incorrect length checks for BRID and HHIT records bsc1256997 Feature Changes: Add more information t...

Benchmarking Machine Learning Models for IoT Malware Detection under Data Scarcity and Drift

The rapid expansion of the Internet of Things IoT in domains such as smart cities, transportation, and industrial systems has heightened the urgency of addressing their security vulnerabilities. IoT devices often operate under limited computational resources, lack robust physical safeguards, and...

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-2026-23011

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...