#vulnerability

### Impact This vulnerability impacts users of a subwiki of XWiki where Message Stream is enabled and use, if they configured their wiki to be closed by selecting "Prevent unregistered users to view pages" in the Administrations Rights. The vulnerability is that any message sent in a subwiki to "everyone" is actually sent to the farm: any visitor of the main wiki will be able to see that message through the Dashboard, even if the subwiki is configured to be private. ### Patches This problem has not been patched and is not going to be patched in the future: Message Stream has been deprecated in XWiki 16.8.0RC1 and is not maintained anymore. ### Workarounds Message Stream is disabled by default, it's advised to keep it disabled from Administration > Social > Message Stream. ### References * https://jira.xwiki.org/browse/XWIKI-17154

Palo Alto, California, 16th April 2025, CyberNewsWire

Hertz confirms data breach linked to Cleo software flaw; Cl0p ransomware group leaked stolen data, exposing names, driver’s…

Cisco Talos’ Vulnerability Discovery & Research team recently disclosed three vulnerabilities found in Eclipse ThreadX and four vulnerabilities in STMicroelectronics.    The vulnerabilities mentioned in this blog post have been patched by their respective vendors, all in adherence to Cisco’s third-party vulnerability disclosure policy.

Introduction Cyber threats targeting supply chains have become a growing concern for businesses across industries. As companies continue to expand their reliance on third-party vendors, cloud-based services, and global logistics networks, cybercriminals are exploiting vulnerabilities within these interconnected systems to launch attacks. By first infiltrating a third-party vendor with undetected

Mattermost versions 10.5.x <= 10.5.1, 10.4.x <= 10.4.3, 9.11.x <= 9.11.9 fail to prevent Wrangler posts from triggering AI responses. This vulnerability allows users without access to the AI bot to activate it by attaching the activate_ai override property to a post via the Wrangler plugin, provided both the AI and Wrangler plugins are enabled.

Mattermost versions 10.5.x <= 10.5.1, 10.4.x <= 10.4.3, 9.11.x <= 9.11.9 fail to check the "Allow Users to View Archived Channels" configuration when fetching channel metadata of a post from archived channels, which allows authenticated users to access such information when a channel is archived.

The U.S. government funding for non-profit research giant MITRE to operate and maintain its Common Vulnerabilities and Exposures (CVE) program will expire Wednesday, an unprecedented development that could shake up one of the foundational pillars of the global cybersecurity ecosystem. The 25-year-old CVE program is a valuable tool for vulnerability management, offering a de facto standard to

A critical resource that cybersecurity professionals worldwide rely on to identify, mitigate and fix security vulnerabilities in software and hardware is in danger of breaking down. The federally funded, non-profit research and development organization MITRE warned today that its contract to maintain the Common Vulnerabilities and Exposures (CVE) program -- which is traditionally funded each year by the Department of Homeland Security -- expires on April 16.

### Impact This report is to highlight a vulnerability in XGrammar, a library used by the structured output feature in vLLM. The XGrammar advisory is here: https://github.com/mlc-ai/xgrammar/security/advisories/GHSA-389x-67px-mjg3 The [xgrammar](https://xgrammar.mlc.ai/docs/) library is the default backend used by vLLM to support structured output (a.k.a. guided decoding). Xgrammar provides a required, built-in cache for its compiled grammars stored in RAM. xgrammar is available by default through the OpenAI compatible API server with both the V0 and V1 engines. A malicious user can send a stream of very short decoding requests with unique schemas, resulting in an addition to the cache for each request. This can result in a Denial of Service by consuming all of the system's RAM. Note that even if vLLM was configured to use a different backend by default, it is still possible to choose xgrammar on a per-request basis using the `guided_decoding_backend` key of the `extra_body` field ...