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Chinese 'Infrastructure Laundering' Abuses AWS, Microsoft Cloud

Funnull CDN rents IPs from legitimate cloud service providers and uses them to host criminal websites, continuously cycling cloud resources in and out of use and acquiring new ones to stay ahead of cyber-defender detection.

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New AI “agents” could hold people for ransom in 2025

"Agentic" AI could arrive in 2025, and it may allow hackers to send individual, AI-powered agents to do their dirty work.

Name That Edge Toon: In the Cloud

Feeling creative? Submit your caption and our panel of experts will reward the winner with a $25 gift card.

Code-Scanning Tool's License at Heart of Security Breakup

Nine application security toolmakers band together to fork the popular Semgrep code-scanning project, touching off a controversy over access to features and fairness.

FUNNULL Unmasked: AWS, Azure Abused for Global Cybercrime Operations

Discover how cybercriminals use 'Infrastructure Laundering' to exploit AWS and Azure for scams, phishing, and money laundering. Learn about FUNNULL CDN's tactics and their global impact on businesses and cybersecurity.

Infrastructure Laundering: Blending in with the Cloud

In an effort to blend in and make their malicious traffic tougher to block, hosting firms catering to cybercriminals in China and Russia increasingly are funneling their operations through major U.S. cloud providers. Research published this week on one such outfit -- a sprawling network tied to Chinese organized crime gangs and aptly named "Funnull" -- highlights a persistent whac-a-mole problem facing cloud services.

Automated Pen Testing Is Improving — Slowly

The rate of evolution has been glacial, but tools now understand cloud environments and can target Web applications.

Exposure Management Provider CYE Acquires Solvo

The addition of Solvo CSPM to CYE Hyver aims to address the need for multicloud vulnerability monitoring and risk assessment.

GHSA-jcrp-x7w3-ffmg: Deep Java Library path traversal issue

## Summary [Deep Java Library (DJL)](https://docs.djl.ai/master/index.html) is an open-source, high-level, engine-agnostic Java framework for deep learning. DJL is designed to be easy to get started with and simple to use for Java developers. DJL provides a native Java development experience and functions like any other regular Java library. DJL provides utilities for extracting tar and zip model archives that are used when loading models for use with DJL. These utilities were found to contain issues that do not protect against absolute path traversal during the extraction process. ## Impact An issue exists with DJL's untar and unzip functionalities. Specifically, it is possible to create an archive on a Windows system, and when extracted on a MacOS or Linux system, write artifacts outside the intended destination during the extraction process. The reverse is also true for archives created on MacOS/Linux systems and extracted on Windows systems. Impacted versions: 0.1.0 - 0.31.0 ...

Phishing Campaign Baits Hook With Malicious Amazon PDFs

In their discovery, researchers found 31 PDF files linking to these phishing websites, none of which have been yet submitted to VirusTotal.