> For the complete documentation index, see [llms.txt](https://docs.material.security/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.material.security/whats-new/previous-releases/1.15-to-1.43/version-1.25.md).

# Version 1.25

This update enhances similarity matching (Auto Threat Hunt) controls, introduces new email security detections, refines existing detection rules to reduce false positives, unveils a major Simulations update, and includes some bug fixes.

### New ✨

* Add granular similarity matching controls to case details and settings. Material admins can dial in which attributes Material’s similarity matching engine uses to add emails to a case. This includes subject, sender, sender domain, and link.
* Email Security Detections
  * Detection for inbox rules that remove messages
  * NordVPN Impersonation
  * Detection for abuse of known open SMTP relays in extortion campaigns
  * Slack messages impersonating an org’s domain with confusable characters
  * Suspicious signatures containing recipient address

### Updated 🔧

* Simulations UI Overhaul
  * Redesigned for better clarity and usability, making it more intuitive and closer to Material’s update look and feel
  * Various bug fixes and performance improvements
* Email Security Detections
  * Lowered severity for inbox filters using sensitive terms
  * Improves rules for Hulu, Facebook, and Airtable impersonation to reduce false positives
  * Facebook Impersonation – tuned to catch billing domain abuse.
  * Adjustments to Webflow links, free subdomain hosts, and fake voicemail notifications to minimize false positives

### Fixed 🧹

* Accounts list filter not clearing


---

# 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.material.security/whats-new/previous-releases/1.15-to-1.43/version-1.25.md?ask=<question>&goal=<endgoal>
```

`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.
