Machine Learning-Based AES Key Recovery Via Side-Channel Analysis on the ASCAD Dataset

Cryptographic algorithms like AES and RSA are widely used and they are mathematically robust and almost unbreakable but its implementation on physical devices often leak information through side channels, such as electromagnetic EM emissions, potentially compromising said theoretically secure...

Malicious code in deep-thought-relay-client (npm)

The package deep-thought-relay-client was found to contain malicious code...

Malicious code in ug-deep (npm)

The package ug-deep was found to contain malicious code...

Malicious code in ug-deep-alt (npm)

The package ug-deep-alt was found to contain malicious code...

Malicious code in deep-dev (npm)

The package deep-dev was found to contain malicious code...

MAL-2025-18174 Malicious code in deep-dev (npm)

The package deep-dev was found to contain malicious code...

MAL-2025-37514 Malicious code in ug-deep (npm)

The package ug-deep was found to contain malicious code...

MAL-2025-37515 Malicious code in ug-deep-alt (npm)

The package ug-deep-alt was found to contain malicious code...

MAL-2025-18175 Malicious code in deep-thought-relay-client (npm)

The package deep-thought-relay-client was found to contain malicious code...

CVE-2025-50861

The Lotus Cars Android app (com.lotus.carsdomestic.intl) version 1.2.8 contains an exported component, PushDeepLinkActivity , which is accessible without authentication via ADB or malicious apps. This vulnerability allows for unintended access to application internals, potentially leading to deni...

Social-Sensor Identity Cloning Detection Using Weakly Supervised Deep Forest and Cryptographic Authentication

Recent years have witnessed a rising trend in social-sensor cloud identity cloning incidents. However, existing approaches suffer from unsatisfactory performance, a lack of solutions for detecting duplicated accounts, and a lack of large-scale evaluations on real-world datasets. We introduce a...

Developing a Transferable Federated Network Intrusion Detection System

Intrusion Detection Systems IDS are a vital part of a network-connected device. In this paper, we develop a deep learning based intrusion detection system that is deployed in a distributed setup across devices connected to a network. Our aim is to better equip deep learning models against unknown...

OpenEXR code issue vulnerability (CNVD-2025-24797)

OpenEXR is a high dynamic range image file format designed for the movie industry. A null pointer dereference vulnerability exists in OpenEXR version 3.3.2 when reading a deep scanline image containing a large number of sample points in reduceMemory mode, which stems from a null pointer exception...

OpenEXR Buffer Overflow Vulnerability (CNVD-2025-24799)

OpenEXR is an open standard for high dynamic range image HDR file formats. A heap buffer overflow vulnerability exists in OpenEXR versions 3.3.0 through 3.3.2 when decompressing ZIPS-compressed deep scanline EXR files, which originates from a write operation out of bounds when processing...

VeriPHY: Physical Layer Signal Authentication for Wireless Communication in 5G Environments

Physical layer authentication PLA uses inherent characteristics of the communication medium to provide secure and efficient authentication in wireless networks, bypassing the need for traditional cryptographic methods. With advancements in deep learning, PLA has become a widely adopted technique...

Linux Distros Unpatched Vulnerability : CVE-2025-52999

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - jackson-core contains core low-level incremental streaming parser and generator abstractions used by Jackson Data Processor. In versions prior to 2.15.0, if a...

Medium: jackson-core

Issue Overview: jackson-core contains core low-level incremental "streaming" parser and generator abstractions used by Jackson Data Processor. In versions prior to 2.15.0, if a user parses an input file and it has deeply nested data, Jackson could end up throwing a StackoverflowError if the depth...

The vulnerability of the FortiMail email security system, a software-hardware solution for information protection based on AI and deep neural networks from Fortinet’s FortiNDR (Network Detection and Response), arises from the possibility of copying buffers without checking the size of the input data. This allows attackers to execute arbitrary code.

The vulnerability of the FortiMail email security system, a software-hardware solution for information protection based on AI and deep neural networks from Fortinet, is related to the copying of buffers without checking the size of the input data. Exploiting this vulnerability allows an attacker...

Who Got Arrested in the Raid on the XSS Crime Forum?

On July 22, 2025, the European police agency Europol said a long-running investigation led by the French Police resulted in the arrest of a 38-year-old administrator of XSS, a Russian-language cybercrime forum with more than 50,000 members. The action has triggered an ongoing frenzy of speculatio...

Intrusion Detection in Heterogeneous Networks with Domain-Adaptive Multi-Modal Learning

Network Intrusion Detection Systems NIDS play a crucial role in safeguarding network infrastructure against cyberattacks. As the prevalence and sophistication of these attacks increase, machine learning and deep neural network approaches have emerged as effective tools for enhancing NIDS...