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REPORT1 SOURCE

New cloud security vulnerability uncovered

An international team of researchers, including professor David Oswald from our Department of Computer Science, has discovered a security vulnerability that could put sensitive data stored in cloud computing systems at risk.

First reported Sep 15, 2026 13:40 UTCOpen evidence record
REPORT1 SOURCE

File-notification systems leave Windows, Linux, Android and macOS vulnerable

Researchers at the Institute of Information Security at Graz University of Technology (TU Graz) have uncovered security risks in the file notification systems of the widely used operating systems Windows, Linux, Android and macOS. Through side-channel attacks, attackers can track system-wide changes to files, keystrokes and visited websites, and spoof password prompts to intercept entries.

First reported Sep 28, 2026 16:00 UTCOpen evidence record
REPORT1 SOURCE

Social media activity can expose politics, religion and shopping habits

There is a modern adage: If you don't want it on the internet, don't put it on the internet. However, a review of research into social media privacy in the International Journal of Management Concepts and Philosophy has found that legal and ethical protections are not keeping pace with the volume of personal information collected and shared online. Moreover, much inferred information that people d

First reported Sep 11, 2026 18:20 UTCOpen evidence record
REPORT1 SOURCE

AI model spots spoofed website addresses with up to 99% accuracy

A machine-learning system can identify fake, or spoofed, website addresses, according to research published in the International Journal of Electronic Security and Digital Forensics. The work offers a new tool to protect users against phishing attacks, in which attackers direct someone to a deceptive website to steal information such as bank logins or personal and private data.

First reported Sep 16, 2026 19:20 UTCOpen evidence record
REPORT1 SOURCE

Harder, better, safer, stronger: Three-way AI improves cybersecurity

A new deep-learning architecture could deflect cyberattacks by combining several methods for analyzing network traffic, according to research published in the International Journal of Business Intelligence and Data Mining. The approach addresses a weakness in standard intrusion-detection systems, which struggle with the volume and complexity of modern network traffic.

First reported Sep 14, 2026 17:40 UTCOpen evidence record
REPORT1 SOURCE

Chatbot gives teens first-hand experience of cybergrooming tactics without the risk of harm

Virginia Tech researchers are developing virtual tools to help teens protect themselves against cybergrooming. Using survey data from parents and teens and leveraging artificial intelligence, the research team created a chatbot that gradually advances interactions from innocent to predatory, giving teens firsthand experience of cybergrooming tactics without the risk of actual harm.

First reported Sep 17, 2026 19:00 UTCOpen evidence record

A filename, label, or report mention alone does not establish maliciousness. Observation dates describe cited sources; collection dates describe this local metadata catalog. No malware samples are stored, fetched, or executed by these pages.