[SECURITY] Fedora 43 Update: mingw-objfw-1.5.4-1.fc43

ObjFW is a portable, lightweight framework for the Objective-C language. It enables you to write an application in Objective-C that will run on any platform supported by ObjFW without having to worry about differences between operating systems or various frameworks you would otherwise need if you...

[SECURITY] Fedora 43 Update: objfw-1.5.4-1.fc43

ObjFW is a portable, lightweight framework for the Objective-C language. It enables you to write an application in Objective-C that will run on any platform supported by ObjFW without having to worry about differences between operating systems or various frameworks you would otherwise need if you...

[SECURITY] Fedora 44 Update: mingw-objfw-1.5.4-1.fc44

ObjFW is a portable, lightweight framework for the Objective-C language. It enables you to write an application in Objective-C that will run on any platform supported by ObjFW without having to worry about differences between operating systems or various frameworks you would otherwise need if you...

[SECURITY] Fedora 44 Update: objfw-1.5.4-1.fc44

ObjFW is a portable, lightweight framework for the Objective-C language. It enables you to write an application in Objective-C that will run on any platform supported by ObjFW without having to worry about differences between operating systems or various frameworks you would otherwise need if you...

Backdooring Masked Diffusion Language Models

Masked diffusion language models MDLMs are emerging as a compelling new paradigm for text generation, but their training-time security remains largely unexplored. Existing backdoor attacks on Gaussian diffusion models or autoregressive language models do not directly apply to MDLMs because MDLMs...

DeepGuard Secure Code Generation

Large Language Models LLMs for code generation can replicate insecure patterns from their training data. To mitigate this, a common strategy for security hardening is to fine-tune models using supervision derived from the final transformer layer. However, this design may suffer from a final-layer...

Towards Unveiling Vulnerabilities of Large Reasoning Models in Machine Unlearning

Large language models LLMs possess strong semantic understanding, driving significant progress in data mining applications. This is further enhanced by large reasoning models LRMs, which provide explicit multi-step reasoning traces. On the other hand, the growing need for the right to be forgotte...

darksword-kexploit

DarksSword Kernel Exploi...

darksword-kexploit

DarksSword Kernel Exploit Rei...

RadEar: A Self-Supervised RF Backscatter System for Voice Eavesdropping and Separation

Eavesdropping on voice conversations presents a growing threat to personal privacy and information security. In this paper, we present RadEar, a novel RF backscatter-based system designed to enable covert voice eavesdropping through walls. RadEar consists of two key components: i a batteryless RF...

Stealthy Poisoning Attacks Bypass Defenses in Regression Settings

Regression models are widely used in industrial processes, engineering and in natural and physical sciences, yet their robustness to poisoning has received less attention. When it has, studies often assume unrealistic threat models and are thus less useful in practice. In this paper, we propose a...

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...

CVE-2025-63208

An issue was discovered in bridgetech VB288 Objective QoE Content Extractor, firmware version 5.6.0-8, allowing attackers to gain sensitive information such as administrator passwords via the /probe/core/setup/passwd endpoint...

EUVD-2025-103392

Malicious code in objectivebovidz3n npm...

EUVD-2025-103391

Malicious code in objectivewhitefishz3n npm...

EUVD-2025-89761

Malicious code in objectivemuskoxz3n npm...

EUVD-2025-89760

Malicious code in objectivetakinz3n npm...

EUVD-2025-89762

Malicious code in objectivemandrillz3n npm...

EUVD-2025-89763

Malicious code in objectiveleoponz3n npm...

EUVD-2025-77554

Malicious code in objectivesquidamethyst-18 npm...