MINI-5VGC-32CC-M48H

Bulletin has no description...

MINI-FCRM-635H-5M5X

Bulletin has no description...

MINI-237P-MP72-4G9Q

Bulletin has no description...

MINI-MX52-XXG2-8PRH

Bulletin has no description...

MINI-9M44-6WC6-2J5R

Bulletin has no description...

MINI-858M-39M6-CJXJ

Bulletin has no description...

MINI-Q3X7-944C-M42M

Bulletin has no description...

MINI-96X2-R94F-RCP4

Bulletin has no description...

MINI-CX35-J43X-RF67

Bulletin has no description...

MINI-M74F-84XC-5X2P

Bulletin has no description...

MINI-X56J-36W2-CVFW

Bulletin has no description...

MINI-RCXM-F63X-75HX

Bulletin has no description...

MINI-756V-X8H4-R6RC

Bulletin has no description...

MINI-V7Q8-964C-WH55

Bulletin has no description...

MINI-5M72-48J4-5CWP

Bulletin has no description...

MINI-66GH-R796-3JMH

Bulletin has no description...

RedEdit: Agentic Red-Teaming of Image Safety Classifiers Via MCTS-Guided Photo-Editing

Image safety classifiers serve as a critical component of contemporary content moderation systems on the internet. However, their resilience against user-style malicious image editing remains underexplored. Such behaviors are highly prevalent in daily scenarios but difficult to fully reproduce. T...

Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework

The increasing penetrations of the critical infrastructure sector in the United States with intelligent digital technologies have greatly increased exposure to advanced cyber adversaries and operational vulnerabilities. AI-powered governance and automated decision-making systems are becoming a ke...

PT-2026-46293

Name of the Vulnerable Software and Affected Versions Neterbit NW-431F Router versions prior to 20241014-IR03 Description The SMS module contains a stored Cross-Site Scripting XSS issue, where the application fails to properly sanitize user input within SMS messages before they are stored and...

TinyML-Driven Cybersecurity for Autonomous Spacecraft: Latency-Accuracy Analysis for SPARTA RF and Cyber Threat Detection

Autonomous spacecraft require rapid, lightweight, and reliable onboard detection of cyber-RF threats. Using the SPARTA attack model, we analyze the latency-accuracy trade-offs of TinyML-compatible classical models -- Random Forest, Logistic Regression, SVM, and MLP -- for detecting uplink jamming...