EUVD-2005-4515

Malware in sbrugna...

Towards Reliable and Practical LLM Security Evaluations Via Bayesian Modelling

Before adopting a new large language model LLM architecture, it is critical to understand vulnerabilities accurately. Existing evaluations can be difficult to trust, often drawing conclusions from LLMs that are not meaningfully comparable, relying on heuristic inputs or employing metrics that fai...

MAL-2025-47891 Malicious code in pkgutil-resolve-name (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 355bf6f2e2ca64d826a7a85321bd48180e7683107611ff321101c5baf3b26e0a Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

MAL-2025-46985 Malicious code in color (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 3507ec02d0eb24c87e1f7621140bb5e6a4a343308e7ee8af79ef7f84617f8577 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

Selection-Based Vulnerabilities: Clean-Label Backdoor Attacks in Active Learning

Active learningAL, which serves as the representative label-efficient learning paradigm, has been widely applied in resource-constrained scenarios. The achievement of AL is attributed to acquisition functions, which are designed for identifying the most important data to label. Despite this...

LLM-Stackelberg Games: Conjectural Reasoning Equilibria and Their Applications to Spearphishing

We introduce the framework of LLM-Stackelberg games, a class of sequential decision-making models that integrate large language models LLMs into strategic interactions between a leader and a follower. Departing from classical Stackelberg assumptions of complete information and rational agents, ou...

Malicious code in fe-hoc-theme (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 9891a9fd86134f0ca17dba8224c55c0e4ad7b0dbf8f5c61cce17218515d60f92 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

GNSS Spoofing Detection Based on Opportunistic Position Information

The limited or no protection for civilian Global Navigation Satellite System GNSS signals makes spoofing attacks relatively easy. With modern mobile devices often featuring network interfaces, state-of-the-art signals of opportunity SOP schemes can provide accurate network positions in replacemen...

A Fast, Reliable, and Secure Programming Language for LLM Agents with Code Actions

Modern large language models LLMs are often deployed as agents, calling external tools adaptively to solve tasks. Rather than directly calling tools, it can be more effective for LLMs to write code to perform the tool calls, enabling them to automatically generate complex control flow such as...

Fuzzy Location and Allocation Hub Network Design for Air Cargo Transportation Considering Sustainability and Time Window

Hub location Problems seek to find hub facilities and assign non-hub nodes to them in such a way that the flow between origin and destination should be effectively established according to the desired goal. In general, in the literature of location, it is assumed that the time horizon of hub...

DinoCompanion: an Attachment-Theory Informed Multimodal Robot for Emotionally Responsive Child-AI Interaction

Children's emotional development fundamentally relies on secure attachment relationships, yet current AI companions lack the theoretical foundation to provide developmentally appropriate emotional support. We introduce DinoCompanion, the first attachment-theory-grounded multimodal robot for...

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...

Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention

Cautious predictions -- where a machine learning model abstains when uncertain -- are crucial for limiting harmful errors in safety-critical applications. In this work, we identify a novel threat: a dishonest institution can exploit these mechanisms to discriminate or unjustly deny services under...

Malicious code in athira-windows-x64 (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware d29372690a56d28aaf32363029d85a2f0f5b5eddbe8a7a2bb62435171567b354 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

RADEP: a Resilient Adaptive Defense Framework against Model Extraction Attacks

Machine Learning as a Service MLaaS enables users to leverage powerful machine learning models through cloud-based APIs, offering scalability and ease of deployment. However, these services are vulnerable to model extraction attacks, where adversaries repeatedly query the application programming...

Language-Based Security and Time-Inserting Supervisor

Algebraic methods are employed in order to define language-based security properties of processes. A supervisor is introduced that can disable unwanted behavior of an insecure process by controlling some of its actions or by inserting timed actions to make an insecure process secure. We assume a...

Real-Time Detection of Insider Threats Using Behavioral Analytics and Deep Evidential Clustering

Insider threats represent one of the most critical challenges in modern cybersecurity. These threats arise from individuals within an organization who misuse their legitimate access to harm the organization's assets, data, or operations. Traditional security mechanisms, primarily designed for...

Malicious code in babel-loader-fs (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 1700e85206eea0c06ca2bedd5155e402644feb176d29155bb5194ebaa3096336 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

Malicious code in mfe-react-bridge (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 4f7835d0f6b232544302030371ac74d4c595860a04736a2ef54259a32993f9c8 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

Malicious code in flipper-plugin-preferences (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 72ed77743cfbbcc3b9082b68fd1ebbfc81e78c93b7b73d1045b70adae1785b8a Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...