A time-of-check time-of-use vulnerability in the Trend Micro Apex One (mac) agent cache mechanism could allow a local attacker to escalate privileges on affected installations. Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability. The following information is provided as informational only for CVE references, as these were addressed already via ActiveUpdate/SaaS updates in mid to late 2025 (SaaS 2507 & 2005 Yearly Release).

An origin validation error vulnerability in the Trend Micro Apex One (mac) agent self-protection mechanism could allow a local attacker to escalate privileges on affected installations. Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability. The following information is provided as informational only for CVE references, as these were addressed already via ActiveUpdate/SaaS updates in mid to late 2025 (SaaS 2507 & 2005 Yearly Release).

A missing authentication vulnerability exists in the Altium 365 SearchService. A legacy SOAP endpoint exposes search index operations without requiring authentication, session tokens, or any form of identity verification. An unauthenticated network attacker who can reference a target workspace's identifier can interact with that workspace's search index, crossing tenant boundaries. Successful exploitation allows reading a workspace's indexed contents (such as component data, project and folder names, and user metadata) and injecting, modifying, or deleting search index entries. These operations affect the search index only, not the underlying vault data, but they can disclose sensitive workspace information and compromise the integrity and availability of search results. Altium 365 cloud deployments are affected; on-premise Altium Enterprise Server is not affected.

A time-of-check time-of-use vulnerability in the Trend Micro Apex One (mac) agent iCore service signature verification could allow a local attacker to escalate privileges on affected installations. Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability. The following information is provided as informational only for CVE references, as these were addressed already via ActiveUpdate/SaaS updates in mid to late 2025 (SaaS 2507 & 2005 Yearly Release).

Improper handling of insufficient privileges in the AMD Secure Processor (ASP) could allow an attacker to provide an input value to a function without sufficient privileges and successfully write data, potentially resulting in loss of integrity of availability.

Anote 1.0 contains a persistent cross-site scripting vulnerability that allows attackers to execute arbitrary code by injecting malicious payloads into markdown files stored within the application. Attackers can craft malicious markdown files with embedded JavaScript that executes system commands when opened, enabling remote code execution on the victim's computer.

Pode is a Cross-Platform PowerShell web framework for creating REST APIs, Web Sites, and TCP/SMTP servers. From 2.4.0, to before 2.13.0, when requesting content from a Static Route, it was possible to request paths such as http://localhost:8080/c:/Windows/System32/drivers/etc/hosts and have the contents returned. This vulnerability is fixed in 2.13.0.

Vercel’s AI Cloud is a unified platform for building modern applications. From 50.16.0 to 52.0.0, hen the Vercel CLI runs in non-interactive mode (--non-interactive or auto-detected AI agent), commands that cannot complete autonomously emit JSON payloads with suggested follow-up commands. If the user authenticated via --token or -t on the command line, the token value is included verbatim in those suggestions. The plaintext token may be captured in CI/CD logs, agent transcripts, or other automation output. This vulnerability is fixed in 52.0.1.

vLLM is an inference and serving engine for large language models (LLMs). From 0.6.1 to before 0.20.0, there is a a Token Injection vulnerability in vLLM’s multimodal processing. Unauthenticated, text-only prompts that spell special tokens are interpreted as control. Image and video placeholder sequences supplied without matching data cause vLLM to index into empty grids during input-position computation, raising an unhandled IndexError and terminating the worker or degrading availability. Multimodal paths that rely on image_grid_thw/video_grid_thw are affected. This vulnerability is fixed in 0.20.0.

vLLM is an inference and serving engine for large language models (LLMs). From to before 0.20.0, the extract_hidden_states speculative decoding proposer in vLLM returns a tensor with an incorrect shape after the first decode step, causing a RuntimeError that crashes the EngineCore process. The crash is triggered when any request in the batch uses sampling penalty parameters (repetition_penalty, frequency_penalty, or presence_penalty). A single request with a penalty parameter (e.g., "repetition_penalty": 1.1) is sufficient to crash the server. This vulnerability is fixed in 0.20.0.