Awakening the Hydra: Stabilizing Multi-Concept Backdoor Injection in Text-To-Image Diffusion Models

Text-to-image diffusion models are increasingly developed through open-source reuse and repeated downstream fine-tuning, where reused checkpoints are difficult to verify and thus more susceptible to hidden backdoor behaviors. In such ecosystems, a single pretrained model may be sequentially adapt...

A Red Teaming Framework for Evaluating Robustness of AI-Enabled Security Orchestration, Automation, and Response Systems

AI-enabled Security Orchestration, Automation, and Response SOAR systems increasingly employ autonomous agents for cyber defense, yet their resilience to adaptive adversaries is underexplored. We introduce an autonomous red teaming framework that integrates large language models LLMs with...

The End of Trust: How Agentic AI Breaks Security Assumptions

For decades, the security of digital interaction has rested on an unacknowledged economic constraint. Attackers faced a tradeoff between the fidelity of a deception and the scale at which it could be deployed. Convincing impersonation required sustained human effort and was confined to a narrow s...

Accelerating detection engineering using AI-assisted synthetic attack logs generation

In this article 1. Core Idea: From TTPs to Logs 2. Approaches for Synthetic Attack Log Generation 3. Evaluation Datasets 4. References 5. Learn more Logs and telemetry are the foundation of modern cybersecurity. They enable threat detection, incident response, forensic investigation, and complian...

Exploit for CVE-2026-41940

cpanel2shell-scanner A high-fidelity scanner for the cPanel/W...

ExAI5G: A Logic-Based Explainable AI Framework for Intrusion Detection in 5G Networks

Intrusion detection systems IDSs for 5G networks must handle complex, high-volume traffic. Although opaque "black-box" models can achieve high accuracy, their lack of transparency hinders trust and effective operational response. We propose ExAI5G, a framework that prioritizes interpretability by...

[SECURITY] Fedora 43 Update: mupdf-1.27.1-10.fc43

MuPDF is a lightweight PDF viewer and toolkit written in portable C. The renderer in MuPDF is tailored for high quality anti-aliased graphics. MuPDF renders text with metrics and spacing accurate to within fractions of a pixel for the highest fidelity in reproducing the look of a printed page on...

[SECURITY] Fedora 42 Update: mupdf-1.26.3-5.fc42

MuPDF is a lightweight PDF viewer and toolkit written in portable C. The renderer in MuPDF is tailored for high quality anti-aliased graphics. MuPDF renders text with metrics and spacing accurate to within fractions of a pixel for the highest fidelity in reproducing the look of a printed page on...

dooblou WiFi File Transfer 跨站脚本漏洞

Dooblou WiFi File Transfer is a file transfer application developed by the dooblou company. Version 1.0.8 of Dooblou WiFi File Transfer contains a cross-site scripting vulnerability. This vulnerability stems from the use of file and folder names that contain storage-type cross-site scripts,...

QCL-IDS: Quantum Continual Learning for Intrusion Detection with Fidelity-Anchored Stability and Generative Replay

Continual intrusion detection must absorb newly emerging attack stages while retaining legacy detection capability under strict operational constraints, including bounded compute and qubit budgets and privacy rules that preclude long-term storage of raw telemetry. We propose QCL-IDS, a...

A High-Performance Fractal Encryption Framework and Modern Innovations for Secure Image Transmission

The current digital era, driven by growing threats to data security, requires a robust image encryption technique. Classical encryption algorithms suffer from a trade-off among security, image fidelity, and computational efficiency. This paper aims to enhance the performance and efficiency of ima...

Security update for the Linux Kernel (Live Patch 63 for SUSE Linux Enterprise 12 SP5)

This update for the SUSE Linux Enterprise kernel 4.12.14-122.237 fixes various security issues The following security issues were fixed: CVE-2022-50233: bluetooth: device name can cause reading kernel memory by not supplying terminal \0 bsc1249242. CVE-2022-50327: ACPI: processor: idle: Check...

Knowledge-To-Data: LLM-Driven Synthesis of Structured Network Traffic for Testbed-Free IDS Evaluation

Realistic, large-scale, and well-labeled cybersecurity datasets are essential for training and evaluating Intrusion Detection Systems IDS. However, they remain difficult to obtain due to privacy constraints, data sensitivity, and the cost of building controlled collection environments such as...

Practical Quantum Teleportation with Finite-Energy Codebooks

Quantum communication exploits non-classical correlations to achieve efficient and unconditionally secure exchange of information. In particular, the quantum teleportation protocol allows for a deterministic and secure transfer of unknown quantum states by using pre-shared quantum entanglement an...

Exploit for Deserialization of Untrusted Data in Facebook React

React2Shell Scanner High Fidelity Detection for RSC/Next.js R...

Jailbreak-Zero: A Path to Pareto Optimal Red Teaming for Large Language Models

This paper introduces Jailbreak-Zero, a novel red teaming methodology that shifts the paradigm of Large Language Model LLM safety evaluation from a constrained example-based approach to a more expansive and effective policy-based framework. By leveraging an attack LLM to generate a high volume of...

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 ...

LLM-Assisted AHP for Explainable Cyber Range Evaluation

Cyber Ranges CRs have emerged as prominent platforms for cybersecurity training and education, especially for Critical Infrastructure CI sectors that face rising cyber threats. One way to address these threats is through hands-on exercises that bridge IT and OT domains to improve defensive...

A Descriptive Model for Modelling Attacker Decision-Making in Cyber-Deception

Cyber-deception is an increasingly important defensive strategy, shaping adversarial decision making through controlled misinformation, uncertainty, and misdirection. Although game-theoretic, Bayesian, Markov decision process, and reinforcement learning models offer insight into deceptive...

Synthetic Data: AI'S New Weapon against Android Malware

The ever-increasing number of Android devices and the accelerated evolution of malware, reaching over 35 million samples by 2024, highlight the critical importance of effective detection methods. Attackers are now using Artificial Intelligence to create sophisticated malware variations that can...