Linux kernel 安全漏洞

Linux kernel is the kernel used by Linux, the open source operating system of the Linux Foundation in the United States. A security vulnerability exists in the Linux kernel that stems from mishandling when disabling remote partitioning, which could result in a warning...

CVE-2009-4326

The RAND scalar function in the Common Code Infrastructure component in IBM DB2 9.5 before FP5 and 9.7 before FP1, when the Database Partitioning Feature DPF is used, produces "repeating" return values, which might allow attackers to defeat protection mechanisms based on randomization by predicti...

MTAttack: Multi-Target Backdoor Attacks against Large Vision-Language Models

Recent advances in Large Visual Language Models LVLMs have demonstrated impressive performance across various vision-language tasks by leveraging large-scale image-text pretraining and instruction tuning. However, the security vulnerabilities of LVLMs have become increasingly concerning,...

Appliance Installer Error: "An unknown error has occured"

Challenge When installing a Veeam Infrastructure Appliance on a physical or virtual machine using a bootable USB device created from the JeOS ISO file, the following error occurs: An unknown error has occurred Cause This problem happens during installation, following the disk partitioning step, a...

ROS-20251028-10

A vulnerability in the NVIDIA Container Toolkit container creation and launch software and the NVIDIA GPU Operator resource management software is associated with synchronization errors. NVIDIA GPU Operator resource management software is associated with synchronization errors when using a shared...

EUVD-2021-16433

Malware in sbrugna...

EUVD-2015-4757

Malware in sbrugna...

EUVD-2009-4294

Malware in sbrugna...

EUVD-2022-4973

Malicious code in bioql PyPI...

EUVD-2022-4349

Malicious code in bioql PyPI...

Linux Distros Unpatched Vulnerability : CVE-2023-53256

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - In the Linux kernel, the following vulnerability has been resolved: firmware: armffa: Fix FFA device names for logical partitions Each physical partition can...

Linux kernel 安全漏洞

Linux kernel is the kernel used by Linux, the open source operating system of the Linux Foundation in the United States. A security vulnerability exists in the Linux kernel that stems from a missing ofnodeget in the dynamic partitioning code, which could lead to reuse after release...

postgresql: PostgreSQL optimizer statistics can expose sampled data within a view, partition, or child table

An access control bypass flaw has been discovered in PostgreSQL. The PostgreSQL optimizer statistics allow a user to read sampled data within a view that the user cannot access. Separately, statistics allow a user to read sampled data that a row security policy intended to hide...

AZL-66300 CVE-2025-8713 affecting package postgresql for versions less than 16.10-1

PostgreSQL optimizer statistics allow a user to read sampled data within a view that the user cannot access. Separately, statistics allow a user to read sampled data that a row security policy intended to hide. PostgreSQL maintains statistics for tables by sampling data available in columns; this...

CVE-2025-8713

PostgreSQL optimizer statistics allow a user to read sampled data within a view that the user cannot access. Separately, statistics allow a user to read sampled data that a row security policy intended to hide. PostgreSQL maintains statistics for tables by sampling data available in columns; this...

CVE-2025-8713

PostgreSQL optimizer statistics allow a user to read sampled data within a view that the user cannot access. Separately, statistics allow a user to read sampled data that a row security policy intended to hide. PostgreSQL maintains statistics for tables by sampling data available in columns; this...

From Split to Share: Private Inference with Distributed Feature Sharing

Cloud-based Machine Learning as a Service MLaaS raises serious privacy concerns when handling sensitive client data. Existing Private Inference PI methods face a fundamental trade-off between privacy and efficiency: cryptographic approaches offer strong protection but incur high computational...

The Impact of Event Data Partitioning on Privacy-Aware Process Discovery

Information systems support the execution of business processes. The event logs of these executions generally contain sensitive information about customers, patients, and employees. The corresponding privacy challenges can be addressed by anonymizing the event logs while still retaining utility f...

CSVAR: Enhancing Visual Privacy in Federated Learning Via Adaptive Shuffling against Overfitting

Although federated learning preserves training data within local privacy domains, the aggregated model parameters may still reveal private characteristics. This vulnerability stems from clients' limited training data, which predisposes models to overfitting. Such overfitting enables models to...

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...