MAL-2025-192997 Malicious code in @vietmoney/react-native-image-transformer (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector a5d6e41bb857d4ed96776b54551e25a97efccd98d763659d945f9c969c7981cf The package @vietmoney/react-native-image-transformer was found to contain malicious code. Source: ghsa-malware...

EUVD-2025-205934

Malicious code in @vietmoney/react-native-image-transformer npm...

FedLiTeCAN : A Federated Lightweight Transformer for Fast and Robust CAN Bus Intrusion Detection

This work implements a lightweight Transformer model for IDS in the domain of Connected and Autonomous Vehicles...

CVE-2025-14921

A flaw was found in the Hugging Face Transformers library. The parsing of model files fails to validate user-supplied data, causing a deserialization of untrusted data. An attacker can exploit this issue by providing a malicious Transformer-XL model, resulting in arbitrary code execution in the...

CVE-2025-14921 Hugging Face Transformers Transformer-XL Model Deserialization of Untrusted Data Remote Code Execution Vulnerability

Hugging Face Transformers Transformer-XL Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this...

CVE-2025-14921

CVE-2025-14921 affects Hugging Face Transformers (Transformer-XL) with a flaw in parsing Transformer-XL model files that fails to validate untrusted input, enabling deserialization of untrusted data and remote code execution. The underlying cause is insufficient validation during model-file parsi...

CVE-2025-14921 Hugging Face Transformers Transformer-XL Model Deserialization of Untrusted Data Remote Code Execution Vulnerability

Hugging Face Transformers Transformer-XL Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this...

Hugging Face Transformers 代码问题漏洞

Hugging Face Transformers is a Hugging Face open source framework for defining state-of-the-art machine learning models covering textual, visual, audio, and multimodal models for inference and training. A code issue vulnerability exists in Hugging Face Transformers that stems from a lack of...

(0Day) Hugging Face Transformers Transformer-XL Model Deserialization of Untrusted Data Remote Code Execution Vulnerability

This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the...

PT-2025-52379

Name of the Vulnerable Software and Affected Versions Hugging Face Transformers affected versions not specified Description A flaw exists in Hugging Face Transformers due to insufficient validation of user-supplied data during the parsing of model files. This can lead to the deserialization of...

ScamSweeper: Detecting Illegal Accounts in Web3 Scams Via Transactions Analysis

The web3 applications have recently been growing, especially on the Ethereum platform, starting to become the target of scammers. The web3 scams, imitating the services provided by legitimate platforms, mimic regular activity to deceive users. However, previous studies have primarily concentrated...

PrivLLMSwarm: Privacy-Preserving LLM-Driven UAV Swarms for Secure IoT Surveillance

Large Language Models LLMs are emerging as powerful enablers for autonomous reasoning and natural-language coordination in unmanned aerial vehicle UAV swarms operating within Internet of Things IoT environments. However, existing LLM-driven UAV systems process sensitive operational data in...

The vulnerability of the Item_direct_view_ref::derived_field_transformer_for_where function in the MariaDB database management system allows a attacker to cause a service failure.

The vulnerability of the Itemdirectviewref::derivedfieldtransformerforwhere function in the MariaDB database management system is related to improper behavior. Exploiting this vulnerability could allow a malicious actor to cause service failures remotely...

Beyond Detection: A Comprehensive Benchmark and Study on Representation Learning for Fine-Grained Webshell Family Classification

Malicious WebShells pose a significant and evolving threat by compromising critical digital infrastructures and endangering public services in sectors such as healthcare and finance. While the research community has made significant progress in WebShell detection i.e., distinguishing malicious...

Demystifying Feature Engineering in Malware Analysis of API Call Sequences

Machine learning ML has been widely used to analyze API call sequences in malware analysis, which typically requires the expertise of domain specialists to extract relevant features from raw data. The extracted features play a critical role in malware analysis. Traditional feature extraction is...

Malicious code in @actbase/react-native-less-transformer (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 06f669b015d3df7c500b192e927f2890c45ad45dafa608100da2146dca598efa The package @actbase/react-native-less-transformer was found to contain malicious code. Source: ghsa-malware...

EUVD-2025-198728

Malicious code in @actbase/react-native-less-transformer npm...

MAL-2025-190710 Malicious code in @actbase/react-native-less-transformer (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 06f669b015d3df7c500b192e927f2890c45ad45dafa608100da2146dca598efa The package @actbase/react-native-less-transformer was found to contain malicious code. Source: ghsa-malware...

Collaborative research by Microsoft and NVIDIA on real-time immunity

AI-Powered Threats Demand AI-Powered Defense While AI supports growth and innovation, it is also reshaping how organizations address faster, more adaptive security risks. AI-driven security threats, including “vibe-hacking”, are evolving faster than traditional defenses can adapt. Attackers can n...

Collaborative research by Microsoft and NVIDIA on real-time immunity

AI-Powered Threats Demand AI-Powered Defense While AI supports growth and innovation, it is also reshaping how organizations address faster, more adaptive security risks. AI-driven security threats, including “vibe-hacking”, are evolving faster than traditional defenses can adapt. Attackers can n...