> For the complete documentation index, see [llms.txt](https://cortex-docs.paloaltonetworks.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cortex-docs.paloaltonetworks.com/xsoar-6-administrator-guide/6.13/learn-about-cortex-xsoar/customize-and-configure-cortex-xsoar/machine-learning/machine-learning-capabilities.md). # Machine Learning Capabilities The following table describes the available machine learning features and scripts, grouped by its use case. | Feature | Description | More Information | | --------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Phishing Classifier | Enables you to train a machine learning model based on your own phishing incidents. The trained model can provide predictions. You can [Create a Machine Learning Model](/xsoar-6-administrator-guide/6.13/learn-about-cortex-xsoar/customize-and-configure-cortex-xsoar/machine-learning/create-a-machine-learning-model.md), use the [Phishing Classifier Demo](/xsoar-6-administrator-guide/6.13/learn-about-cortex-xsoar/customize-and-configure-cortex-xsoar/machine-learning/phishing-classifier-demo.md), and [Train a Phishing Classifier on Non-English Languages](/xsoar-6-administrator-guide/6.13/learn-about-cortex-xsoar/customize-and-configure-cortex-xsoar/machine-learning/train-a-phishing-classifier-on-non-english-languages.md) | Install the [Machine Learning](https://xsoar.pan.dev/marketplace/details/ML#machine-learning) content pack to manage machine learning models. For more information see, [Machine Learning Models](/xsoar-6-administrator-guide/6.13/learn-about-cortex-xsoar/customize-and-configure-cortex-xsoar/machine-learning/machine-learning-models.md). | | **`FindDuplicateEmailIncidents`** | This automation finds duplicate past phishing incidents, even if a a few words are different between emails. It helps you to handle duplicate phishing incidents more easily. | Install the [Phishing Content Pack](https://xsoar.pan.dev/marketplace/details/Phishing#findduplicateemailincidents), which includes the automation. | | **`FindEmailCampaign`** | This automation identifies email campaigns, by finding past phishing incidents with high text similarity. If a [phishing campaign](https://xsoar.pan.dev/docs/reference/packs/phishing-campaign) was found, the output concentrates details regarding the campaign, such as, when it occurred, whether it involved senders and recipients, mutual indicators, email summary, etc. It provides an immediate detailed background (if found) for a given phishing incident. | Install the [Phishing Campaign Content Pack](https://xsoar.pan.dev/marketplace/details/Campaign/), which includes the automation. | | **`DBotFindSimilarIncidents`** | This automation finds past similar incidents based on incident fields similarity. It also includes an option to display indicators similarity. The model aims to detect similarity through text or JSON, even if the value is different. The automation provides the user with these details. For details, see [DBotFindSimilarIncidents Script](/xsoar-6-administrator-guide/6.13/learn-about-cortex-xsoar/customize-and-configure-cortex-xsoar/machine-learning/additional-machine-learning-scripts.md#UUID-8357eaf2-171d-d778-db62-f19a8e781e98). | Part of the [Base Content Pack](https://xsoar.pan.dev/marketplace/details/Base/). | | **`DBotPredictURLPhishing`** | This automation ingests data such as the screenshot and HTML of a web page, URL syntax, and domain information, and predicts if the URL is a phishing attack. For details, see [DBotPredictURLPhishing Script](/xsoar-6-administrator-guide/6.13/learn-about-cortex-xsoar/customize-and-configure-cortex-xsoar/machine-learning/additional-machine-learning-scripts.md#UUID-6f7cb6f6-32e9-ab93-eac1-37ffebc59544). | Part of the [Phishing URL Pack](https://xsoar.pan.dev/marketplace/details/PhishingURL). | --- # 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://cortex-docs.paloaltonetworks.com/xsoar-6-administrator-guide/6.13/learn-about-cortex-xsoar/customize-and-configure-cortex-xsoar/machine-learning/machine-learning-capabilities.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.