> For the complete documentation index, see [llms.txt](https://docs.fusion.vectra.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fusion.vectra.ai/detection-models/library/operational-governance/messaging_wechat.md). # messaging\_wechat **Explanation** The messaging\_wechat NDM (Network Detection Method) is designed to detect the presence of the WeChat messaging application on a network. It analyzes network traffic and looks for specific patterns of communication associated with WeChat. **What to Look For** To examine the results of the messaging\_wechat Event, look for any network traffic associated with WeChat on your network and endpoints. This could include communication with WeChat servers, usage of WeChat protocols, or unique signatures associated with WeChat traffic. If detected, this could indicate a potential security risk related to unauthorized use of WeChat on your network. Review your security policies and take appropriate mitigating action to prevent any potential breaches associated with WeChat usage. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.fusion.vectra.ai/detection-models/library/operational-governance/messaging_wechat.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.