Tag: EN

A safer way to break industrial systems (on purpose)

Cybersecurity teams often struggle to test defenses for industrial control systems without risking disruption. A group of researchers from Curtin University has developed a way to make that easier. Their work introduces a container-based framework that lets researchers and practitioners…

New Jscrambler AI Assistant accelerates PCI DSS compliance decisions

Jscrambler announced the AI Assistant for PCI DSS script authorization workflows, which delivers context-rich insights and expert recommendations to enable prompt and confident script authorization decisions and justifications. PCI DSS v4 requirements 6.4.3 and 11.6.1 mandate the inventorying, authorizing, and…

Clipboard Pictures Exfiltration in Python Infostealer, (Wed, Oct 15th)

For a while, clipboard content has been monitored by many infostealers. Purposes can be multiple, like simply searching and exfiltrating juicy data or on-the-fly modification like crypto-wallet swapping[1]. Note that the clipboard is a major risk when you don't disable…

Using Digital Twins to Model Cyber Risk: BS or BFF?

Digital twins are redefining cybersecurity by modeling real-time risk, unifying siloed data, and helping teams predict and prevent attacks before they happen. The post Using Digital Twins to Model Cyber Risk: BS or BFF? appeared first on Security Boulevard. This…

Maltrail: Open-source malicious traffic detection system

Maltrail is an open-source network traffic detection system designed to spot malicious or suspicious activity. It works by checking traffic against publicly available blacklists, as well as static lists compiled from antivirus reports and user-defined sources. These “trails” can include…

Building trust in AI-powered security operations

In this Help Net Security video, James Hodge, VP, Global Specialist Organisation at Splunk, explores the transformative role of AI in cybersecurity threat detection. He explains how AI’s ability to process vast amounts of data and detect anomalies faster than…

The diagnosis is in: Mobile health apps are bad for your privacy

Sensitive data is moving through Android healthcare apps without adequate protection. Researchers found that many transmit information without encryption, store files without safeguards, or share it through third-party components. Study design showing data collection, static security analysis (MobSF, RiskInDroid, OWASP),…