MergeGuard: Efficient Thwarting of Trojan Attacks in Machine Learning Models

This paper proposes MergeGuard, a novel methodology for mitigation of AI Trojan attacks. Trojan attacks on AI models cause inputs embedded with triggers to be misclassified to an adversary's target class, posing a significant threat to model usability trained by an untrusted third party. The core...

CBL Mariner 2.0 Security Update: pytorch (CVE-2025-32434)

The version of pytorch installed on the remote CBL Mariner 2.0 host is prior to tested version. It is, therefore, affected by a vulnerability as referenced in the CVE-2025-32434 advisory. - PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural...

Directed Greybox Fuzzing Via Large Language Model

Directed greybox fuzzing DGF focuses on efficiently reaching specific program locations or triggering particular behaviors, making it essential for tasks like vulnerability detection and crash reproduction. However, existing methods often suffer from path explosion and randomness in input mutatio...

D-Link DIR-600L 安全漏洞

The D-Link DIR-600L is an entry-level wireless router from China's AUO D-Link that supports 150Mbps wireless transmission and four 100 megabit wired ports. The D-Link DIR-600L suffers from a buffer overflow vulnerability that originates from the parameter host of the function formLogin that fails...

Detecting Quishing Attacks with Machine Learning Techniques through QR Code Analysis

The rise of QR code based phishing "Quishing" poses a growing cybersecurity threat, as attackers increasingly exploit QR codes to bypass traditional phishing defenses. Existing detection methods predominantly focus on URL analysis, which requires the extraction of the QR code payload, and may...

Optigo Networks ONS NC600 信任管理问题漏洞

The Optigo Networks ONS NC600 is a professional building automation network controller from Optigo Networks designed as a security gateway for BACnet/IP and MS/TP networks. A trust management issue vulnerability exists in the Optigo Networks ONS NC600 versions 4.2.1-084 through 4.7.2-330, which...

LLMs' Suitability for Network Security: a Case Study of STRIDE Threat Modeling

Artificial Intelligence AI is expected to be an integral part of next-generation AI-native 6G networks. With the prevalence of AI, researchers have identified numerous use cases of AI in network security. However, there are almost nonexistent studies that analyze the suitability of Large Language...

CVE-2025-43851

Retrieval-based-Voice-Conversion-WebUI is a voice changing framework based on VITS. Versions 2.2.231006 and prior are vulnerable to unsafe deserialization. The modelchoose variable takes user input e.g. a path to a model and passes it to the uvr function in vr.py. In uvr , a new instance...

CVE-2025-43852

Retrieval-based-Voice-Conversion-WebUI is a voice changing framework based on VITS. Versions 2.2.231006 and prior are vulnerable to unsafe deserialization. The modelchoose variable takes user input e.g. a path to a model and passes it to the uvr function in vr.py. In uvr , if modelname contains t...

CVE-2025-43851 GHSL-2025-021_Retrieval-based-Voice-Conversion-WebUI

Retrieval-based-Voice-Conversion-WebUI is a voice changing framework based on VITS. Versions 2.2.231006 and prior are vulnerable to unsafe deserialization. The modelchoose variable takes user input e.g. a path to a model and passes it to the uvr function in vr.py. In uvr , a new instance...

CVE-2025-43851 GHSL-2025-021_Retrieval-based-Voice-Conversion-WebUI

Retrieval-based-Voice-Conversion-WebUI is a voice changing framework based on VITS. Versions 2.2.231006 and prior are vulnerable to unsafe deserialization. The modelchoose variable takes user input e.g. a path to a model and passes it to the uvr function in vr.py. In uvr , a new instance...

CVE-2025-43850 GHSL-2025-020_Retrieval-based-Voice-Conversion-WebUI

Retrieval-based-Voice-Conversion-WebUI is a voice changing framework based on VITS. Versions 2.2.231006 and prior are vulnerable to unsafe deserialization. The ckptdir variable takes user input e.g. a path to a model and passes it to the changeinfo function in export.py, which uses it to load the...

CVE-2025-43845 GHSL-2025-015_Retrieval-based-Voice-Conversion-WebUI

Retrieval-based-Voice-Conversion-WebUI is a voice changing framework based on VITS. Versions 2.2.231006 and prior are vulnerable to code injection. The ckptpath2 variable takes user input e.g. a path to a model and passes it to changeinfo function, which opens and reads the file on the given path...

Retrieval-based-Voice-Conversion-WebUI 代码问题漏洞

Retrieval-based-Voice-Conversion-WebUI is an open source voice training modeling tool from RVC-Project. A code issue vulnerability exists in Retrieval-based-Voice-Conversion-WebUI version 2.2.231006 and earlier, which stems from improper handling of the modelchoose variable, and could lead to...

PT-2025-19749 · Unknown · Retrieval-Based-Voice-Conversion-Webui

Name of the Vulnerable Software and Affected Versions: Retrieval-based-Voice-Conversion-WebUI versions 2.2.231006 and prior Description: Retrieval-based-Voice-Conversion-WebUI is a voice changing framework based on VITS. The ckpt path1 variable takes user input, such as a path to a model, and...

Retrieval-based-Voice-Conversion-WebUI 代码问题漏洞

Retrieval-based-Voice-Conversion-WebUI is an open source voice training modeling tool from RVC-Project. A code issue vulnerability exists in Retrieval-based-Voice-Conversion-WebUI version 2.2.231006 and earlier, which stems from improper handling of the modelchoose variable, and could lead to...

Advancing Email Spam Detection: Leveraging Zero-Shot Learning and Large Language Models

Email spam detection is a critical task in modern communication systems, essential for maintaining productivity, security, and user experience. Traditional machine learning and deep learning approaches, while effective in static settings, face significant limitations in adapting to evolving spam...

The vulnerability of the TCP protocol implementation in Juniper Networks’ Junos OS routers MX240, MX480, and MX960 allows a attacker to cause service interruptions.

The vulnerability of the TCP protocol implementation in Juniper Networks’ Junos OS routers of the MX240, MX480, and MX960 models is related to insufficient validation of input data. Exploiting this vulnerability can allow a malicious actor to cause service interruptions by sending specially craft...

The vulnerability of the /boafrm/formStaticDHCP function in the microprogramming software of TOTOLINK N150RT routers allows a attacker to execute arbitrary code.

The vulnerability of the /boafrm/formStaticDHCP function in TOTOLINK N150RT router microprogramming software lies in the copying of buffers without checking the size of the input data. Exploiting this vulnerability allows an attacker operating remotely to execute arbitrary code...

Unveiling the Landscape of LLM Deployment in the Wild: an Empirical Study

Background: Large language models LLMs are increasingly deployed via open-source and commercial frameworks, enabling individuals and organizations to self-host advanced AI capabilities. However, insecure defaults and misconfigurations often expose LLM services to the public Internet, posing...