form-data Insufficient Randomness

form-data uses Math.random to select a boundary value for multipart form-encoded data. This can lead to a security issue if an attacker can observe other values produced by Math.random in the target application and can control one field of a request made using form-data...

CVE-2025-53709

Secure-upload is a data submission service that validates single-use tokens when accepting submissions to channels. The service only installed on a small number of environments. Under specific circumstances, privileged users of secure-upload could have selected email templates not necessarily...

Security update for xen

This update for xen fixes the following issues: CVE-2024-28956: Fixed Intel CPU: Indirect Target Selection ITS XSA-469 bsc1243117 CVE-2025-1713: Fixed deadlock potential with VT-d and legacy PCI device pass-through XSA-467 bsc1238043 Special Instructions and Notes: Please reboot the system after...

MH-FSF: a Unified Framework for Overcoming Benchmarking and Reproducibility Limitations in Feature Selection Evaluation

Feature selection is vital for building effective predictive models, as it reduces dimensionality and emphasizes key features. However, current research often suffers from limited benchmarking and reliance on proprietary datasets. This severely hinders reproducibility and can negatively impact...

Unbreakable Enterprise kernel security update

5.4.17-2136.344.4.3 - Add Zen34 clients Borislav Petkov AMD Orabug: 38129026 CVE-2024-36350 CVE-2024-36357 - x86/process: Move the buffer clearing before MONITOR Kim Phillips Orabug: 38129026 CVE-2024-36350 CVE-2024-36357 - KVM: SVM: Advertize TSA CPUID bits to guests Borislav Petkov AMD Orabug:...

Adaptive Malware Detection Using Sequential Feature Selection: a Dueling Double Deep Q-Network (D3QN) Framework for Intelligent Classification

Traditional malware detection methods exhibit computational inefficiency due to exhaustive feature extraction requirements, creating accuracy-efficiency trade-offs that limit real-time deployment. We formulate malware classification as a Markov Decision Process with episodic feature acquisition a...

Vulnerability Disclosure through Adaptive Black-Box Adversarial Attacks on NIDS

Adversarial attacks, wherein slight inputs are carefully crafted to mislead intelligent models, have attracted increasing attention. However, a critical gap persists between theoretical advancements and practical application, particularly in structured data like network traffic, where...

A Hybrid Intrusion Detection System with a New Approach to Protect the Cybersecurity of Cloud Computing

Cybersecurity is one of the foremost challenges facing the world of cloud computing. Recently, the widespread adoption of smart devices in cloud computing environments that provide Internet-based services has become prevalent. Therefore, it is essential to consider the security threats in these...

Accurate BGV Parameters Selection: Accounting for Secret and Public Key Dependencies in Average-Case Analysis

The Brakerski-Gentry-Vaikuntanathan BGV scheme is one of the most significant fully homomorphic encryption FHE schemes. It belongs to a class of FHE schemes whose security is based on the presumed intractability of the Learning with Errors LWE problem and its ring variant RLWE. Such schemes deal...

Shrinking the Generation-Verification Gap with Weak Verifiers

Verifiers can improve language model capabilities by scoring and ranking responses from generated candidates. Currently, high-quality verifiers are either unscalable e.g., humans or limited in utility e.g., tools like Lean. While LM judges and reward models have become broadly useful as...

A Lightweight IDS for Early APT Detection Using a Novel Feature Selection Method

An Advanced Persistent Threat APT is a multistage, highly sophisticated, and covert form of cyber threat that gains unauthorized access to networks to either steal valuable data or disrupt the targeted network. These threats often remain undetected for extended periods, emphasizing the critical...

LLM-Based Dynamic Differential Testing for Database Connectors with Reinforcement Learning-Guided Prompt Selection

Database connectors are critical components enabling applications to interact with underlying database management systems DBMS, yet their security vulnerabilities often remain overlooked. Unlike traditional software defects, connector vulnerabilities exhibit subtle behavioral patterns and are...

AdRo-FL: Informed and Secure Client Selection for Federated Learning in the Presence of Adversarial Aggregator

Whitepaper called AdRo-FL: Informed And Secure Client Selection For Federated Learning In The Presence Of Adversarial Aggregator...

Efficient Retail Video Annotation: a Robust Key Frame Generation Approach for Product and Customer Interaction Analysis

Accurate video annotation plays a vital role in modern retail applications, including customer behavior analysis, product interaction detection, and in-store activity recognition. However, conventional annotation methods heavily rely on time-consuming manual labeling by human annotators,...

Security update for xen

This update for xen fixes the following issues: Security fixes: CVE-2024-28956: Fixed Intel CPU: Indirect Target Selection ITS XSA-469 bsc1243117 Other fixes: Upstream bug fixes bsc1027519 Special Instructions and Notes: Please reboot the system after installing this update. Patch Instructions: T...

SUSE-SU-2025:02030-1 Security update for xen

This update for xen fixes the following issues: Security fixes: - CVE-2024-28956: Fixed Intel CPU: Indirect Target Selection ITS XSA-469 bsc1243117 Other fixes: - Upstream bug fixes bsc1027519...

SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs Via Stable Safety-Critical Expert Identification

Large language models based on Mixture-of-Experts have achieved substantial gains in efficiency and scalability, yet their architectural uniqueness introduces underexplored safety alignment challenges. Existing safety alignment strategies, predominantly designed for dense models, are ill-suited t...

Secret Sharing in 5G-MEC: Applicability for Joint Security and Dependability

Multi-access Edge Computing MEC, an enhancement of 5G, processes data closer to its generation point, reducing latency and network load. However, the distributed and edge-based nature of 5G-MEC presents privacy and security challenges, including data exposure risks. Ensuring efficient manipulatio...

SUSE CVE-2022-49948

In the Linux kernel, the following vulnerability has been resolved: vt: Clear selection before changing the font When changing the console font with ioctlKDFONTOP the new font size can be bigger than the previous font. A previous selection may thus now be outside of the new screen size and thus...

DEBIAN-CVE-2022-49948

In the Linux kernel, the following vulnerability has been resolved: vt: Clear selection before changing the font When changing the console font with ioctlKDFONTOP the new font size can be bigger than the previous font. A previous selection may thus now be outside of the new screen size and thus...