Linux Distros Unpatched Vulnerability : CVE-2025-46148

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistancep=2 produces incorrect results. CVE-2025-46148 Note that Nessus relies on the presence of the...

PyTorch Information Disclosure Vulnerability (CNVD-2025-23285)

PyTorch is a Python package open-sourced by PyTorch. PyTorch suffers from an information disclosure vulnerability that stems from nn.PairwiseDistancep=2 producing incorrect results in eager mode, no details of the vulnerability are provided at this time...

OpenMLS improper persistence of the secret tree during message processing

Summary A bug in the OpenMLS library prevented private key material from being updated in storage during message processing. The key material in question are the keys stored in the MLS secret tree, which are used for decryption of private MLS messages. The effects of the bug are limited in scope,...

DEBIAN-CVE-2025-46148

In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistancep=2 produces incorrect results...

PYSEC-2025-198

In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistancep=2 produces incorrect results...

PYSEC-2025-198

In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistancep=2 produces incorrect results...

UBUNTU-CVE-2025-46148

In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistancep=2 produces incorrect results...

PyTorch 安全漏洞

PyTorch is a Python package open-sourced by PyTorch. PyTorch suffers from an information disclosure vulnerability that stems from nn.PairwiseDistancep=2 producing incorrect results in eager mode, no details of the vulnerability are provided at this time...

CVE-2025-46148

In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistancep=2 produces incorrect results...

CVE-2025-46148

CVE-2025-46148 affects PyTorch up to version 2.6.0 when using eager execution, where nn.PairwiseDistance(p=2) can produce incorrect results. Connected entries (BIT-PYTORCH-2025-46148, NVD, OSV variants, Debian/Ubuntu OSV, CNVD) corroborate the issue with identical description. The vulnerability i...

PT-2025-39379

Name of the Vulnerable Software and Affected Versions PyTorch versions through 2.6.0 Description When eager mode is used, the nn.PairwiseDistancep=2 function in PyTorch produces incorrect results. The p parameter in the nn.PairwiseDistance function determines the distance metric. A value of 2...

CVE-2025-46148

In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistancep=2 produces incorrect results...

CVE-2025-46148

In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistancep=2 produces incorrect results...

CVE-2025-9627 Run Log <= 1.7.10 - Cross-Site Request Forgery to Settings Update

The Run Log plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to, and including, 1.7.10. This is due to missing or incorrect nonce validation on the oirlpluginoptions function. This makes it possible for unauthenticated attackers to modify plugin settings includi...

Constructing a Photonic Implementation of Quantum Key Distribution

Quantum Key Distribution QKD stands as a revolutionary approach to secure communication, using the principles of quantum mechanics to establish unbreakable channels. Unlike traditional cryptography, which relies on the computational difficulty of mathematical problems, QKD utilizes the inherent...

Perfect Message Authentication Codes Are Robust to Small Deviations from Uniform Key Distributions

We investigate the impact of possible deviations of the probability distribution of key values from a uniform distribution for the information-theoretic strong, or perfect, message authentication code. We found a simple expression for the decrease in security as a function of the statistical...

Radio Adversarial Attacks on EMG-Based Gesture Recognition Networks

Surface electromyography EMG enables non-invasive human-computer interaction in rehabilitation, prosthetics, and virtual reality. While deep learning models achieve over 97% classification accuracy, their vulnerability to adversarial attacks remains largely unexplored in the physical domain. We...

ShrinkBox: Backdoor Attack on Object Detection to Disrupt Collision Avoidance in Machine Learning-Based Advanced Driver Assistance Systems

Advanced Driver Assistance Systems ADAS significantly enhance road safety by detecting potential collisions and alerting drivers. However, their reliance on expensive sensor technologies such as LiDAR and radar limits accessibility, particularly in low- and middle-income countries. Machine...

Data-Plane Telemetry to Mitigate Long-Distance BGP Hijacks

Poor security of Internet routing enables adversaries to divert user data through unintended infrastructures hijack. Of particular concern -- and the focus of this paper -- are cases where attackers reroute domestic traffic through foreign countries, exposing it to surveillance, bypassing legal...

Safeguarding Federated Learning-Based Road Condition Classification

Federated Learning FL has emerged as a promising solution for privacy-preserving autonomous driving, specifically camera-based Road Condition Classification RCC systems, harnessing distributed sensing, computing, and communication resources on board vehicles without sharing sensitive image data...