CVE-2025-9133

A missing authorization vulnerability in Zyxel ATP series firmware versions from V4.32 through V5.40, USG FLEX series firmware versions from V4.50 through V5.40, USG FLEX 50W series firmware versions from V4.16 through V5.40, and USG20W-VPN series firmware versions from V4.16 through V5.40 could...

CVE-2025-9133

A missing authorization vulnerability in Zyxel ATP series firmware versions from V4.32 through V5.40, USG FLEX series firmware versions from V4.50 through V5.40, USG FLEX 50W series firmware versions from V4.16 through V5.40, and USG20W-VPN series firmware versions from V4.16 through V5.40 could...

Zyxel ATP series firmware和Zyxel USG FLEX series firmware 安全漏洞

Zyxel ATP series firmware and Zyxel USG FLEX series firmware are both products of the China-based company Zyxel.Zyxel ATP series firmware is a series of firewall firmware.Zyxel USG FLEX series firmware is a series of Zyxel ATP series firmware is a series of firewall firmware. A security...

EUVD-2003-0434

Malware in sbrugna...

EUVD-2021-17057

Malware in sbrugna...

eventpoll: Fix semi-unbounded recursion

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MixGAN: a Hybrid Semi-Supervised and Generative Approach for DDoS Detection in Cloud-Integrated IoT Networks

The proliferation of cloud-integrated IoT systems has intensified exposure to Distributed Denial of Service DDoS attacks due to the expanded attack surface, heterogeneous device behaviors, and limited edge protection. However, DDoS detection in this context remains challenging because of complex...

CVE-2025-38614

The CVE-2025-38614 entry describes a Linux kernel vulnerability in eventpoll where recursion depth in ep_loop_check_proc() could form deep trees and trigger semi-unbounded recursion. The root cause involved two shortcomings: (1) the depth checks did not consider upward paths, and (2) multiple dow...

PT-2025-33812

Name of the Vulnerable Software and Affected Versions: Linux kernel affected versions not specified Description: The Linux kernel contains a flaw within the eventpoll subsystem that could allow for semi-unbounded recursion. The issue stems from insufficient depth checks when creating graph edges...

Malicious code in @zalastax/nolb-_semi- (npm)

The package @zalastax/nolb-semi- was found to contain malicious code...

MAL-2025-10405 Malicious code in @zalastax/nolb-_semi- (npm)

The package @zalastax/nolb-semi- was found to contain malicious code...

Semi-Supervised Supply Chain Fraud Detection with Unsupervised Pre-Filtering

Detecting fraud in modern supply chains is a growing challenge, driven by the complexity of global networks and the scarcity of labeled data. Traditional detection methods often struggle with class imbalance and limited supervision, reducing their effectiveness in real-world applications. This...

BDFirewall: Towards Effective and Expeditiously Black-Box Backdoor Defense in MLaaS

In this paper, we endeavor to address the challenges of backdoor attacks countermeasures in black-box scenarios, thereby fortifying the security of inference under MLaaS. We first categorize backdoor triggers from a new perspective, i.e., their impact on the patched area, and divide them into:...

Contrastive-KAN: a Semi-Supervised Intrusion Detection Framework for Cybersecurity with Scarce Labeled Data

In the era of the Fourth Industrial Revolution, cybersecurity and intrusion detection systems are vital for the secure and reliable operation of IoT and IIoT environments. A key challenge in this domain is the scarcity of labeled cyber-attack data, as most industrial systems operate under normal...

Bridging Unsupervised and Semi-Supervised Anomaly Detection: a Theoretically-Grounded and Practical Framework with Synthetic Anomalies

Anomaly detection AD is a critical task across domains such as cybersecurity and healthcare. In the unsupervised setting, an effective and theoretically-grounded principle is to train classifiers to distinguish normal data from synthetic anomalies. We extend this principle to semi-supervised AD,...

Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing

In the semiconductor sector, due to high demand but also strong and increasing competition, time to market and quality are key factors in securing significant market share in various application areas. Thanks to the success of deep learning methods in recent years in the computer vision domain,...

Certified Randomness from Quantum Speed Limits

Quantum speed limits are usually regarded as fundamental restrictions, constraining the amount of computation that can be achieved within some given time and energy. Complementary to this intuition, here we show that these limitations are also of operational value: they enable the secure generati...

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference

In this work, we present an efficient secure multi-party computation MPC protocol that provides strong security guarantees in settings with dishonest majority of participants who may behave arbitrarily. Unlike the popular MPC implementation known as SPDZ Crypto '12, which only ensures security wi...

A Study of Semi-Fungible Token Based Wi-Fi Access Control

Current Wi-Fi authentication methods face issues such as insufficient security, user privacy leakage, high management costs, and difficulty in billing. To address these challenges, a Wi-Fi access control solution based on blockchain smart contracts is proposed. Firstly, semi-fungible Wi-Fi tokens...

CVE-2021-30117

The API call /InstallTab/exportFldr.asp is vulnerable to a semi-authenticated boolean-based blind SQL injection in the parameter fldrId. Detailed description --- Given the following request: GET /InstallTab/exportFldr.asp?fldrId=1’ HTTP/1.1 Host: 192.168.1.194 User-Agent: Mozilla/5.0 Macintosh;...