WordPress The Fashion - Model Agency One Page Beauty Theme Theme <= 1.4.4 is vulnerable to Deserialization of untrusted data

Software The Fashion - Model Agency One Page Beauty Theme Type Theme Vulnerable versions = 1.4.4 Fixed in N/A OWASP Top 10 A3: Injection Classification Deserialization of untrusted data CVE CVE-2025-31052 Patch priority High CVSS severity High 9.8 Developer Claim ownership PSID 400ca29478f9 Credi...

Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model

The turnstile continual release model of differential privacy captures scenarios where a privacy-preserving real-time analysis is sought for a dataset evolving through additions and deletions. In typical applications of real-time data analysis, both the length of the stream $T$ and the size of th...

Markdownify MCP Server 安全漏洞

Markdownify MCP Server is a Model Context Protocol server for converting almost any content to Markdown by Zach Caceres, an individual developer in the United States. A security vulnerability exists in Markdownify MCP Server that stems from the Markdownify.get function that could lead to...

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models

Model merging for Large Language Models LLMs directly fuses the parameters of different models finetuned on various tasks, creating a unified model for multi-domain tasks. However, due to potential vulnerabilities in models available on open-source platforms, model merging is susceptible to...

Fooling the Watchers: Breaking AIGC Detectors Via Semantic Prompt Attacks

The rise of text-to-image T2I models has enabled the synthesis of photorealistic human portraits, raising serious concerns about identity misuse and the robustness of AIGC detectors. In this work, we propose an automated adversarial prompt generation framework that leverages a grammar tree...

Incomplete Comparison with Missing Factors

Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Incomplete Comparison with Missing Factors due to the implementation of image hashing in hasher.py. An attacker can achieve hash collisions and...

SUSE CVE-2025-5200

A vulnerability was found in Open Asset Import Library Assimp 5.4.3 and classified as problematic. This issue affects the function MDLImporter::InternReadFileQuake1 of the file assimp/code/AssetLib/MDL/MDLLoader.cpp. The manipulation leads to out-of-bounds read. It is possible to launch the attac...

[SECURITY] Fedora 41 Update: nodejs20-20.19.2-1.fc41

Node.js is a platform built on Chrome's JavaScript runtime \ for easily building fast, scalable network applications. \ Node.js uses an event-driven, non-blocking I/O model that \ makes it lightweight and efficient, perfect for data-intensive \ real-time applications that run across distributed...

[SECURITY] Fedora 41 Update: nodejs22-22.15.1-1.fc41

Node.js is a platform built on Chrome's JavaScript runtime \ for easily building fast, scalable network applications. \ Node.js uses an event-driven, non-blocking I/O model that \ makes it lightweight and efficient, perfect for data-intensive \ real-time applications that run across distributed...

[SECURITY] Fedora 42 Update: nodejs22-22.15.1-1.fc42

Node.js is a platform built on Chrome's JavaScript runtime \ for easily building fast, scalable network applications. \ Node.js uses an event-driven, non-blocking I/O model that \ makes it lightweight and efficient, perfect for data-intensive \ real-time applications that run across distributed...

[SECURITY] Fedora 42 Update: nodejs20-20.19.2-1.fc42

Node.js is a platform built on Chrome's JavaScript runtime \ for easily building fast, scalable network applications. \ Node.js uses an event-driven, non-blocking I/O model that \ makes it lightweight and efficient, perfect for data-intensive \ real-time applications that run across distributed...

TensorShield: Safeguarding On-Device Inference by Shielding Critical DNN Tensors with TEE

To safeguard user data privacy, on-device inference has emerged as a prominent paradigm on mobile and Internet of Things IoT devices. This paradigm involves deploying a model provided by a third party on local devices to perform inference tasks. However, it exposes the private model to two primar...

Machine Learning Models Have a Supply Chain Problem

Powerful machine learning ML models are now readily available online, which creates exciting possibilities for users who lack the deep technical expertise or substantial computing resources needed to develop them. On the other hand, this type of open ecosystem comes with many risks. In this paper...

Smart Contracts for SMEs and Large Companies

Research on blockchains addresses multiple issues, with one being writing smart contracts. In our previous research we described methodology and a tool to generate, in automated fashion, smart contracts from BPMN models. The generated smart contracts provide support for multi-step transactions th...

VulBinLLM: LLM-Powered Vulnerability Detection for Stripped Binaries

Recognizing vulnerabilities in stripped binary files presents a significant challenge in software security. Although some progress has been made in generating human-readable information from decompiled binary files with Large Language Models LLMs, effectively and scalably detecting vulnerabilitie...

aws-mcp-server 操作系统命令注入漏洞

aws-mcp-server is a lightweight service by Alexei Ledenev Personal Developer that enables AI assistants to execute AWS CLI commands in a secure containerized environment via the Model Context Protocol MCP. A security vulnerability exists in aws-mcp-server that stems from command injection and cou...

TrojanStego: Your Language Model Can Secretly Be a Steganographic Privacy Leaking Agent

As large language models LLMs become integrated into sensitive workflows, concerns grow over their potential to leak confidential information. We propose TrojanStego, a novel threat model in which an adversary fine-tunes an LLM to embed sensitive context information into natural-looking outputs v...

The Feasibility of Topic-Based Watermarking on Academic Peer Reviews

Large language models LLMs are increasingly integrated into academic workflows, with many conferences and journals permitting their use for tasks such as language refinement and literature summarization. However, their use in peer review remains prohibited due to concerns around confidentiality...

JavaSith: a Client-Side Framework for Analyzing Potentially Malicious Extensions in Browsers, VS Code, and NPM Packages

Modern software supply chains face an increasing threat from malicious code hidden in trusted components such as browser extensions, IDE extensions, and open-source packages. This paper introduces JavaSith, a novel client-side framework for analyzing potentially malicious extensions in web...

The vulnerability of the formDhcpv6s interface in the BOA microprogramming software of TOTOLINK A3002R routers allows a perpetrator to compromise the confidentiality and integrity of the protected information.

The vulnerability of the formDhcpv6s interface in the boa microprogramming software of TOTOLINK A3002R routers is related to buffer overflow during the processing of the addrPoolStart parameter. Exploiting this vulnerability allows an attacker to compromise the confidentiality and integrity of th...