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The Chaos Controller Manager in Chaos Mesh exposes a GraphQL debugging server without authentication to the entire Kubernetes cluster, which provides an API to kill arbitrary processes in any Kubernetes pod, leading to cluster-wide denial of service.
The cleanTcs mutation in Chaos Controller Manager is vulnerable to OS command injection. In conjunction with CVE-2025-59358, this allows unauthenticated in-cluster attackers to perform remote code execution across the cluster.
The killProcesses mutation in Chaos Controller Manager is vulnerable to OS command injection. In conjunction with CVE-2025-59358, this allows unauthenticated in-cluster attackers to perform remote code execution across the cluster.
Mattermost versions 10.10.x <= 10.10.1 fail to properly sanitize user data during shared channel membership synchronization, which allows malicious or compromised remote clusters to access sensitive user information via unsanitized user objects. This vulnerability affects Mattermost Server instances with shared channels enabled.
Attacks that target users in their web browsers have seen an unprecedented rise in recent years. In this article, we’ll explore what a “browser-based attack” is, and why they’re proving to be so effective. What is a browser-based attack? First, it’s important to establish what a browser-based attack is. In most scenarios, attackers don’t think of themselves as attacking your web browser.
In a world where threats are persistent, the modern CISO’s real job isn't just to secure technology—it's to preserve institutional trust and ensure business continuity. This week, we saw a clear pattern: adversaries are targeting the complex relationships that hold businesses together, from supply chains to strategic partnerships. With new regulations and the rise of AI-driven attacks, the
The express-xss-sanitizer (aka Express XSS Sanitizer) package through 2.0.0 for Node.js has an unbounded recursion depth in sanitize in lib/sanitize.js for a JSON request body.
A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the `normalize_numbers()` method of the `EnglishNormalizer` class. This vulnerability affects versions up to 4.52.4 and is fixed in version 4.53.0. The issue arises from the method's handling of numeric strings, which can be exploited using crafted input strings containing long sequences of digits, leading to excessive CPU consumption. This vulnerability impacts text-to-speech and number normalization tasks, potentially causing service disruption, resource exhaustion, and API vulnerabilities.
Hackers leaked 600 GB of data linked to the Great Firewall of China, exposing documents, code, and operations.…
Plus: ICE deploys secretive phone surveillance tech, officials warn of Chinese surveillance tools in US highway infrastructure, and more.