Monitoring Zoom with Azure Sentinel
In a recent blog we talked about the explosion in usage we had seen with Microsoft Teams as the world has moved to working from home. However, Microsoft Teams is not the only application to see such as surge, Zoom is another remote productivity tool that has seen a massive increase in users, with more than 200 million daily meeting participants being reported in March. Just as Security Operation Centers (SOCs) need to monitor Microsoft Teams activity they also need to be able to secure and monitor other productivity applications such as Zoom. One of the great features of Azure Sentinel is its ability to ingest and analyze data from any source not just from Microsoft products. In this blog I will show you how you can collect logs from Zoom, ingest them into Azure Sentinel, and how a SOC team can start to hunt in the logs to find potentially malicious activity.Azure Sentinel: The connectors grand (CEF, Syslog, Direct, Agent, Custom and more)
Want to connect a source system to Sentinel to send events? Even if not on the official source list, this is probably supported, and if not a custom community solution is avaliable. Here you can find information about it.Sending Proofpoint TAP logs to Azure Sentinel
More than 90% of targeted attacks start with email—and these threats are always evolving. Proofpoint Targeted Attack Protection (TAP) helps you stay ahead of attackers with an innovative approach that detects, analyzes and blocks advanced threats before they reach your inbox. This includes ransomware and other advanced email threats delivered through malicious attachments and URLs. And zero-day threats, polymorphic malware, weaponized documents and phishing attacks. Azure Sentinel provides a practical way for you to connect your data sources. Azure Sentinel comes with several connectors for Microsoft solutions available out of the box. There are three major ways to ingest data into Azure Sentinel: Microsoft sources 3 rd party sources Custom logs Many security technologies provide a set of APIs through which events can be retrieved. The below figure is a high-level architecture on how to ingest data from any set of APIs to Azure Sentinel. APIs can be consumed by a custom logic app connector; it supports both a push and pull implementation which is made available in Azure Log Analytics. Azure Sentinel is built on top of Azure Log Analytics making data imported to Azure Log Analytics available to Azure Sentinel. Figure 1: High Level Process to ingest data into Azure Sentinel via custom API connector In a previous blogpost we’ve demonstrated how to send REST API data to Azure Sentinel. In this article we will walk through the process of how to ingest logs using a custom Logic Apps workflow to retrieve REST API data. However, this article can be utilized as a step by step guide to ingest logs from any data source that provides a set of APIs. Please reference Proofpoint’s API Documentation which detail the various API endpoints made available which can be leveraged. Step 1: Retrieve REST API data The first step is to retrieve REST API data from Proofpoint’s TAP service. Currently, the following event types are exposed: Blocked or permitted clicks to threats recognized by URL Defense Blocked or delivered messages that contain threats recognized by URL Defense or Attachment Defense Step 2: Build a Custom Logic App Data Collector Once you have the logic apps designer opened, the first step is to add a recurrence trigger, in my case I will run my logic app every hour. Note: The recurrence you specify must be coded in the SinceSeconds parameter of the Get request Next, we will add a new step and select the HTTP block. In the method field, select GET to request data from Proofpoint. Notes: Proofpoint requires Basic Authentication with an API key. By specifying “Blocked” you will fetch events for clicks to malicious URL’s blocked in the specified time period. You can fetch other events by leveraging additional endpoints available on the Proofpoint TAP API Documentation. To send the data to the Azure Sentinel workspace we first need to parse the data. To achieve this, we leverage a Parse JSON building block: Notes: A query may return results that are null or be interpreted as a number instead of an integer. Adjusting the auto-generated schema to include all the possible types a query could return for that field is safer and will avoid JSON parse errors. If you select a different end point, you will need also to change the element from the JSON you pick for pushing to Azure Log Analytics . At this point, we are ready to send the logs to the Azure Sentinel workspace. To send the data, we will add the Azure Log Analytics Data Collector building block . Below you will specify the connection name, Workspace ID, and Workspace key associated to the desired workspace you wish to send data to. Once you specify those details, we will leverage the “Parse JSON” output as the input and will specify a Custom Log Name i.e. Proofpoint Data as shown below: Step 3: See the data in Log Analytics/Azure Sentinel Azure Sentinel is built on top of Log Analytics; hence, the data is available in both portals (Log Analytics workspace blade & Azure Sentinel). After the logic app runs, the data can be found in the Azure Sentinel workspace under the Custom Logs schema. To get to the custom log data, we first need to click on the Logs tab under General Note: Custom Log View of ProofPointData_CL (“_CL” is added to the name provided in the above “Send Data” block) We will append “_CL” for any custom logs ingested. Now that we can see the data in Azure Sentinel, we now can build analytic rules, hunting queries, or associate it with any other data for correlation. In the sample hunting query below, we are looking for the Top 10 Phishing sources: ProofPointData_CL | where phishScore_d > 80 | summarize cnt=count () by fromAddress_s | top 10 by cnt Wrapping up In this blogpost I’ve shown you how seamless it is to retrieve Proofpoint TAP REST API by leveraging a custom logic app. This exact same process can be leveraged for other vendors who provide APIs to their data sources for easy integration into Azure Log Analytics/ Azure Sentinel. Reviewers: Andrew Harris (AZURE SEC) Nicholas DiCola (SECURITY JEDI) @Ofer Shezaf Tiander Turpijn YuriDiogenesAzure Sentinel Agent: Collecting from servers and workstations, on-prem and in the cloud
Whether deployed in the cloud, on-prem VMs or even physical machines, those are probably still the most significant attack surface and therefore the most common sources of events. In this post, you will learn how to collect events and additional telemetry from them.Protecting your Teams with Azure Sentinel
Recent events have forced many organizations (including Microsoft) to move to a work from home model for their users. In order to ensure their users remain connected and productive they are turning to productivity tools such as Microsoft Teams to host meetings, allow teams to collaborate, and to help colleagues keep in touch. Moving to, or increasing usage of, Teams means that the service should be more of a focus for defenders than ever due to its critical role in communications and data sharing. In this blog we are going to focus on how we can collect Teams activity logs with Azure Sentinel, and start hunting for suspicious activity in that Teams data.
