A recent report discussed methods for leveraging Microsoft Graph and PowerShell to identify "risky" logins within an environment. This follows previous discussions on general usage of Microsoft Graph and PowerShell, focusing specifically on the detection of potentially compromised user accounts or suspicious authentication attempts.
The core mechanism involves querying Microsoft Graph, a RESTful web API that allows access to data and intelligence from Microsoft 365 services, using PowerShell cmdlets. Specifically, the focus is on retrieving risk detection information, which Microsoft 365 services generate based on various signals. These signals can include unusual login locations, impossible travel scenarios, leaked credentials, or sign-ins from infected devices.
Microsoft Graph exposes a rich set of APIs for security and identity management, including endpoints related to identity protection and risk detections. PowerShell provides the scripting capabilities to authenticate to Microsoft Graph, construct appropriate queries, and parse the returned JSON data. This allows administrators to programmatically fetch data points indicating user risk levels and specific risky events.
For instance, an administrator might use PowerShell to query the "identityProtection/riskDetections" endpoint of Microsoft Graph. The returned data would contain details about detected risks, such as the user involved, the type of risk, the detection time, and associated IP addresses or locations. This information is crucial for security teams to investigate potential compromises and take remedial actions.
Products like Azure Active Directory Identity Protection, which is part of Microsoft Entra, are designed to automate the detection and remediation of identity-based risks. The reported method essentially provides a programmatic way for organizations to access and integrate these risk signals into their existing security operations and incident response workflows, rather than relying solely on the portal interface.
Mitigation for risky logins typically involves multi-factor authentication (MFA), conditional access policies that block or challenge suspicious sign-ins, and regular review of identity protection reports. When a risky login is detected, common responses include forcing a password reset, revoking sessions, or temporarily blocking the user account until the risk can be investigated and mitigated.
The ability to programmatically access and analyze risk detection data from Microsoft Graph using PowerShell represents a powerful tool for security professionals. It allows for greater automation in threat hunting, incident response, and continuous monitoring, enabling organizations to proactively identify and respond to evolving identity-based threats within their Microsoft 365 ecosystems.
