MAL-2025-21068 Malicious code in fusion-plugin-heatpipe (npm)

The package fusion-plugin-heatpipe was found to contain malicious code...

MAL-2025-31159 Malicious code in quasar-fusion-eslint-meteor (npm)

The package quasar-fusion-eslint-meteor was found to contain malicious code...

MAL-2025-21064 Malicious code in fusion-plugin-auth-headers (npm)

The package fusion-plugin-auth-headers was found to contain malicious code...

MAL-2025-21080 Malicious code in fusion-theme (npm)

The package fusion-theme was found to contain malicious code...

MAL-2025-21060 Malicious code in fusion-dev-cli (npm)

The package fusion-dev-cli was found to contain malicious code...

MAL-2025-21063 Malicious code in fusion-plugin-atreyu (npm)

The package fusion-plugin-atreyu was found to contain malicious code...

Shadow in the Cache: Unveiling and Mitigating Privacy Risks of KV-Cache in LLM Inference

The Key-Value KV cache, which stores intermediate attention computations Key and Value pairs to avoid redundant calculations, is a fundamental mechanism for accelerating Large Language Model LLM inference. However, this efficiency optimization introduces significant yet underexplored privacy risk...

Latent Fusion Jailbreak: Blending Harmful and Harmless Representations to Elicit Unsafe LLM Outputs

Large language models LLMs demonstrate impressive capabilities in various language tasks but are susceptible to jailbreak attacks that circumvent their safety alignments. This paper introduces Latent Fusion Jailbreak LFJ, a representation-based attack that interpolates hidden states from harmful...

MambaITD: an Efficient Cross-Modal Mamba Network for Insider Threat Detection

Enterprises are facing increasing risks of insider threats, while existing detection methods are unable to effectively address these challenges due to reasons such as insufficient temporal dynamic feature modeling, computational efficiency and real-time bottlenecks and cross-modal information...

Log2Sig: Frequency-Aware Insider Threat Detection Via Multivariate Behavioral Signal Decomposition

Insider threat detection presents a significant challenge due to the deceptive nature of malicious behaviors, which often resemble legitimate user operations. However, existing approaches typically model system logs as flat event sequences, thereby failing to capture the inherent frequency dynami...

ASINT: Learning AS-To-Organization Mapping from Internet Metadata

Accurately mapping Autonomous Systems ASNs to their owning or operating organizations underpins Internet measurement research and security applications. Yet existing approaches commonly rely solely on WHOIS or PeeringDB, missing important relationships e.g., cross-regional aliases, parent-child...

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection

Recent advances in synthetic speech have made audio deepfakes increasingly realistic, posing significant security risks. Existing detection methods that rely on a single modality, either raw waveform embeddings or spectral based features, are vulnerable to non spoof disturbances and often overfit...

HumanSAM: Classifying Human-Centric Forgery Videos in Human Spatial, Appearance, and Motion Anomaly

Numerous synthesized videos from generative models, especially human-centric ones that simulate realistic human actions, pose significant threats to human information security and authenticity. While progress has been made in binary forgery video detection, the lack of fine-grained understanding ...

Friday Squid Blogging: Stable Quasi-Isodynamic Designs

Yet another SQUID acronym: "Stable Quasi-Isodynamic Design." It's a stellarator for a fusion nuclear power plant...

Unmasking Synthetic Realities in Generative AI: a Comprehensive Review of Adversarially Robust Deepfake Detection Systems

The rapid advancement of Generative Artificial Intelligence has fueled deepfake proliferation-synthetic media encompassing fully generated content and subtly edited authentic material-posing challenges to digital security, misinformation mitigation, and identity preservation. This systematic revi...

The vulnerability of the vSockets library in VMware ESXi, VMware Workstation, and VMware Fusion allows a hacker to gain unauthorized access to protected information.

The vulnerability of the vSockets library in VMware ESXi, VMware Workstation, and VMware Fusion hypervisors is related to the use of an uninitialized resource. Exploiting this vulnerability can allow an attacker to gain unauthorized access to protected information...

Trusted Data Fusion, Multi-Agent Autonomy, Autonomous Vehicles

Multi-agent collaboration enhances situational awareness in intelligence, surveillance, and reconnaissance ISR missions. Ad hoc networks of unmanned aerial vehicles UAVs allow for real-time data sharing, but they face security challenges due to their decentralized nature, making them vulnerable t...

Exploit for Server-Side Request Forgery in Fusion_Builder_Project Fusion_Builder

CVE-2022-1386 – Fusion Builder Example: bash python3...

Unspecified Vulnerability in Oracle Fusion Middleware (CNVD-2025-24088)

Oracle Fusion Middleware Oracle Fusion Middleware is a set of business innovation platforms for enterprise and cloud environments from Oracle. The platform provides middleware, software collection, etc. WebLogic Server is one of the application server components for cloud and traditional...

Unspecified Vulnerability in Oracle Fusion Middleware (CNVD-2025-24086)

Oracle Fusion Middleware Oracle Fusion Middleware is a set of business innovation platforms for enterprise and cloud environments from Oracle. The platform provides middleware, software collection, etc. WebLogic Server is one of the application server components for cloud and traditional...