#vulnerability

Vulnerability in the melis-core module of Melis Technology's Melis Platform, which, if exploited, allows an unauthenticated attacker to create an administrator account via a request to '/melis/MelisCore/ToolUser/addNewUser'.

Researchers have found a method they called Mic-E-Mouse, which turns your computer mouse into a spy that can listen in on your conversations.

Tel Aviv, Israel, 8th October 2025, CyberNewsWire

Cybersecurity researchers have disclosed details of a now-patched vulnerability in the popular figma-developer-mcp Model Context Protocol (MCP) server that could allow attackers to achieve code execution. The vulnerability, tracked as CVE-2025-53967 (CVSS score: 7.5), is a command injection bug stemming from the unsanitized use of user input, opening the door to a scenario where an attacker can

As the go-to cybersecurity expert for your friends and family, you’ll want to be ready for those “I clicked a suspicious link — now what?” messages. Share this quick guide to help them know exactly what to do next.

Multiple stored cross-site scripting (XSS) vulnerabilities in Liferay Portal 7.4.3.15 through 7.4.3.111, and Liferay DXP 2023.Q4.0 through 2023.Q4.5, 2023.Q3.1 through 2023.Q3.8, and 7.4 update 15 through update 92 allow remote attackers to inject arbitrary web script or HTML via crafted payload injected into a Terms and Condition's Name text field to (1) Payment Terms, or (2) the Delivery Term on the view order page.

Cross-site scripting (XSS) vulnerability in the Commerce Search Result widget in Liferay Portal 7.4.0 through 7.4.3.111, and Liferay DXP 2023.Q4 before patch 6, 2023.Q3 before patch 9, and 7.4 GA through update 92 allows remote attackers to inject arbitrary web script or HTML via a crafted payload injected into a Commerce Product's Name text field.

### Summary A Server-Side Request Forgery (SSRF) vulnerability exists in the `MediaConnector` class within the vLLM project's multimodal feature set. The `load_from_url` and `load_from_url_async` methods fetch and process media from user-provided URLs without adequate restrictions on the target hosts. This allows an attacker to coerce the vLLM server into making arbitrary requests to internal network resources. This vulnerability is particularly critical in containerized environments like `llm-d`, where a compromised vLLM pod could be used to scan the internal network, interact with other pods, and potentially cause denial of service or access sensitive data. For example, an attacker could make the vLLM pod send malicious requests to an internal `llm-d` management endpoint, leading to system instability by falsely reporting metrics like the KV cache state. ### Vulnerability Details The core of the vulnerability lies in the `MediaConnector.load_from_url` method and its asynchronous ...

## Summary ## A Server-Side Request Forgery (SSRF) vulnerability in the chat API allows any authenticated user to force the server to make arbitrary HTTP requests to internal and external networks. This can lead to the exposure of sensitive internal services, reconnaissance of the internal network, or interaction with third-party services. The same mechanism also allows for a Local File Inclusion (LFI) vulnerability, enabling users to read arbitrary files from the server's filesystem. ## Details ## The vulnerability exists in the _process_request function within src/llamafactory/api/chat.py. This function is responsible for processing incoming multimodal content, including images, videos, and audio provided via URLs. The function checks if the provided URL is a base64 data URI or a local file path (os.path.isfile). If neither is true, it falls back to treating the URL as a web URI and makes a direct HTTP GET request using requests.get(url, stream=True).raw without any validation or...

### Summary A resource-exhaustion (denial-of-service) vulnerability exists in multiple endpoints of the OpenAI-Compatible Server due to the ability to specify Jinja templates via the `chat_template` and `chat_template_kwargs` parameters. If an attacker can supply these parameters to the API, they can cause a service outage by exhausting CPU and/or memory resources. ### Details When using an LLM as a chat model, the conversation history must be rendered into a text input for the model. In `hf/transformer`, this rendering is performed using a Jinja template. The OpenAI-Compatible Server launched by vllm serve exposes a `chat_template` parameter that lets users specify that template. In addition, the server accepts a `chat_template_kwargs` parameter to pass extra keyword arguments to the rendering function. Because Jinja templates support programming-language-like constructs (loops, nested iterations, etc.), a crafted template can consume extremely large amounts of CPU and memory and ...