Transformers's ReDoS vulnerability in get_configuration_file can lead to catastrophic backtracking

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the Hugging Face Transformers library, specifically in the getconfigurationfile function within the transformers.configurationutils module. The affected version is 4.49.0, and the issue is resolved in version 4.51.0. The...

GHSA-Q2WP-RJMX-X6X9 Transformers's ReDoS vulnerability in get_configuration_file can lead to catastrophic backtracking

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the Hugging Face Transformers library, specifically in the getconfigurationfile function within the transformers.configurationutils module. The affected version is 4.49.0, and the issue is resolved in version 4.51.0. The...

CVE-2025-3264

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the Hugging Face Transformers library, specifically in the getimports function within dynamicmoduleutils.py. This vulnerability affects versions 4.49.0 and is fixed in version 4.51.0. The issue arises from a regular...

webkitgtk: disclose sensitive information

A flaw was found in WebKitGTK, which exists due to excessive data output in WebKit Process Model. This issue occurs when processing malicious web content, which may lead to sensitive information disclosure to unauthorized attackers...

CLIP-Guided Backdoor Defense through Entropy-Based Poisoned Dataset Separation

Deep Neural Networks DNNs are susceptible to backdoor attacks, where adversaries poison training data to implant backdoor into the victim model. Current backdoor defenses on poisoned data often suffer from high computational costs or low effectiveness against advanced attacks like clean-label and...

Model Context Protocol (MCP) Python Library Detection

An Model Context Protocol Python library is installed on the remote host. Note that Nessus has relied upon on the application's self-reported version number. %NASLMINLEVEL 80900 C Tenable, Inc. include'compat.inc'; if description scriptid241433; scriptversion"1.7";...

Evaluating the Critical Risks of Amazon'S Nova Premier under the Frontier Model Safety Framework

Nova Premier is Amazon's most capable multimodal foundation model and teacher for model distillation. It processes text, images, and video with a one-million-token context window, enabling analysis of large codebases, 400-page documents, and 90-minute videos in a single prompt. We present the fir...

How Not to Detect Prompt Injections with an LLM

Whitepaper called How Not To Detect Prompt Injections With An LLM...

Model Inversion Attacks on Llama 3: Extracting PII from Large Language Models

Large language models LLMs have transformed natural language processing, but their ability to memorize training data poses significant privacy risks. This paper investigates model inversion attacks on the Llama 3.2 model, a multilingual LLM developed by Meta. By querying the model with carefully...

Arbiter PUF: Uniqueness and Reliability Analysis Using Hybrid CMOS-Stanford Memristor Model

In an increasingly interconnected world, protecting electronic devices has grown more crucial because of the dangers of data extraction, reverse engineering, and hardware tampering. Producing chips in a third-party manufacturing company can let hackers change the design. As the Internet of Things...

Belkin F9K1122 安全漏洞

The Belkin F9K1122 is a WiFi signal extender. The Belkin F9K1122 suffers from a stack buffer overflow vulnerability that originates from the incorrect manipulation of the parameter L2TPUserName in the file /goform/formL2TPSetup, for which no detailed vulnerability details are provided at this tim...

Can Large Language Models Automate the Refinement of Cellular Network Specifications?

Cellular networks serve billions of users globally, yet concerns about reliability and security persist due to weaknesses in 3GPP standards. However, traditional analysis methods, including manual inspection and automated tools, struggle with increasingly expanding cellular network specifications...

CVE-2025-53109

Model Context Protocol Servers is a collection of reference implementations for the model context protocol MCP. Versions of Filesystem prior to 0.6.4 or 2025.7.01 could allow access to unintended files via symlinks within allowed directories. Users are advised to upgrade to 0.6.4 or 2025.7.01...

CVE-2025-53110

Model Context Protocol Servers is a collection of reference implementations for the model context protocol MCP. Versions of Filesystem prior to 0.6.4 or 2025.7.01 could allow access to unintended files in cases where the prefix matches an allowed directory. Users are advised to upgrade to 0.6.4 o...

CVE-2025-34072

A data exfiltration vulnerability exists in Anthropic’s deprecated Slack Model Context Protocol MCP Server via automatic link unfurling. When an AI agent using the Slack MCP Server processes untrusted data, it can be manipulated to generate messages containing attacker-crafted hyperlinks embeddin...

When There Is No Decoder: Removing Watermarks from Stable Diffusion Models in a No-Box Setting

Watermarking has emerged as a promising solution to counter harmful or deceptive AI-generated content by embedding hidden identifiers that trace content origins. However, the robustness of current watermarking techniques is still largely unexplored, raising critical questions about their...

VLAI: a RoBERTa-Based Model for Automated Vulnerability Severity Classification

This paper presents VLAI, a transformer-based model that predicts software vulnerability severity levels directly from text descriptions. Built on RoBERTa, VLAI is fine-tuned on over 600,000 real-world vulnerabilities and achieves over 82% accuracy in predicting severity categories, enabling fast...

We Urgently Need Privilege Management in MCP: a Measurement of API Usage in MCP Ecosystems

The Model Context Protocol MCP has emerged as a widely adopted mechanism for connecting large language models to external tools and resources. While MCP promises seamless extensibility and rich integrations, it also introduces a substantially expanded attack surface: any plugin can inherit broad...

SecureT2I: No More Unauthorized Manipulation on AI Generated Images from Prompts

Text-guided image manipulation with diffusion models enables flexible and precise editing based on prompts, but raises ethical and copyright concerns due to potential unauthorized modifications. To address this, we propose SecureT2I, a secure framework designed to prevent unauthorized editing in...

Model Context Protocol Python SDK 安全漏洞

Model Context Protocol Python SDK is a Model Context Protocol open source development tool for Model Context Protocol servers and clients. A security vulnerability exists in the Model Context Protocol Python SDK prior to version 1.10.0, which stems from an uncaught ClosedResourceError that could...