Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects process injection using the signed Windows tool "Mavinject" via the "INJECTRUNNING" flag
This query looks for anomalies in mail item access events made by Graph API. It uses standard deviation to determine if the number of events is anomalous. The query returns all clientIDs where the amount of mail sent per day was larger than value given by the formula, 'average + STDThreshold(2.5)*(standard deviation)'.
See The MailItemsAccessed mailbox auditing action.
Reference - https://docs.microsoft.com/microsoft-365/compliance/mailitemsaccessed-forensics-investigations?view=o365-worldwide#the-mailitemsaccessed-mailbox-auditing-action
See The MailItemsAccessed mailbox auditing action.
Reference - https://docs.microsoft.com/microsoft-365/compliance/mailitemsaccessed-forensics-investigations?view=o365-worldwide#the-mailitemsaccessed-mailbox-auditing-action
In this query, we hunt for inbound emails having URLs from QR codes and suspicious keywords in subject
'This rule identifies a web request to a URL that holds a file type, including .ps1, .bat, .vbs, and .scr that can be harmful if downloaded. This analytic rule uses [ASIM](https://aka.ms/AboutASIM) and supports any built-in or custom source that supports the ASIM WebSession schema (ASIM WebSession Schema)'
Intent:
- Use MTP capability to look for insider threat potential risk indicators
- Indicators would then serve as the building block for insider threat risk modeling in subsequent tools
Definition of Insider Threat:
"The potential for an individual who has or had authorized access to an organization's assets to use their access, either maliciously or unintentionally, to act in a way that could negatively affect the organization."
This collection of queries describes the different indicators that could be used to model and look for patterns suggesting an increased risk of an individual becoming a potential insider threat.
Note: no single indicator should be used as a lone determinant of insider threat activity, but should be part of an overall program to understand the increased risk to your organization's critical assets. This in turn is used to feed an investigation by a formal insider threat program to look at the context associated with the whole person to understand the implication of a set of indicators.
- Use MTP capability to look for insider threat potential risk indicators
- Indicators would then serve as the building block for insider threat risk modeling in subsequent tools
Definition of Insider Threat:
"The potential for an individual who has or had authorized access to an organization's assets to use their access, either maliciously or unintentionally, to act in a way that could negatively affect the organization."
This collection of queries describes the different indicators that could be used to model and look for patterns suggesting an increased risk of an individual becoming a potential insider threat.
Note: no single indicator should be used as a lone determinant of insider threat activity, but should be part of an overall program to understand the increased risk to your organization's critical assets. This in turn is used to feed an investigation by a formal insider threat program to look at the context associated with the whole person to understand the implication of a set of indicators.
'This script identifies rare domain accounts accessing cloud resources by examining logs. You can lower the domainLimit value to see domains with fewer access attempts. For example, set domainLimit = 2 to see domains with 2 or fewer access attempts.'
This query helps hunting for Inbox rule changes which forward-redirect email
'This query combines different Storage alerts with CommonSecurityLogs and AuditLogs helping analysts investigate any possible storage related attacks faster
thus reducing Mean Time To Respond'
thus reducing Mean Time To Respond'
This query looks for users performing file deletion activities. Spikes in file deletion observed from risky sign-in sessions are flagged here.
This applies to SharePoint and OneDrive users.
Audit event and Cloud application identifier references.
Reference - https://learn.microsoft.com/microsoft-365/compliance/audit-log-activities?view=o365-worldwide
Reference - https://learn.microsoft.com/azure/sentinel/entities-reference#cloud-application-identifiers
This applies to SharePoint and OneDrive users.
Audit event and Cloud application identifier references.
Reference - https://learn.microsoft.com/microsoft-365/compliance/audit-log-activities?view=o365-worldwide
Reference - https://learn.microsoft.com/azure/sentinel/entities-reference#cloud-application-identifiers
'Finds instances where a file uploaded to blob or file storage and it is seen on an endpoint by Microsoft Defender XDR.'
This query can be used to explore any instances where a terminated individual (i.e. one who has an impending termination date but has not left the company) downloads a large number of files from a non-Domain network address.
Find use of Alternate Data Streams (ADS) for anti-forensic purposes.
Alternate Data Streams execution.
Alternate Data Streams execution.
Looks for accounts that uploaded multiple code repositories to external web domain.
Detects APT31 Judgement Panda activity as described in the Crowdstrike 2019 Global Threat Report
Detects usage of the 'Get-Clipboard' cmdlet via CLI
Detects potentially suspicious SQL queries using SQLCmd targeting the Veeam backup databases in order to steal information.
Detects the load of the Windiver driver, a powerful user-mode capture/sniffing/modification/blocking/re-injection package for Windows
Detects a command used by conti to exfiltrate NTDS
Detects a command used by conti to dump database
'Attacker can exfiltrate data from your GitHub repository by cloning it. This hunting query tracks clone activities for each repository, allowing quick identification of anomalies/excessive clones to investigate repo access & permissions.'
Detect usage of the "sqlite" binary to query databases in Firefox and other Gecko-based browsers for potential data stealing.
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