Azure Sentinel
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'Identifies evidence of brute force activity against a user based on multiple authentication failures and at least one successful authentication within a given time window.
Note that the query does not enforce any sequence, and does not require the successful authentication to occur last.
The default failure threshold is 10, success threshold is 1, and the default time window is 20 minutes.
To use this analytics rule, make sure you have deployed the [ASIM normalization parsers](https://aka.ms/ASimAuthentication)'
Note that the query does not enforce any sequence, and does not require the successful authentication to occur last.
The default failure threshold is 10, success threshold is 1, and the default time window is 20 minutes.
To use this analytics rule, make sure you have deployed the [ASIM normalization parsers](https://aka.ms/ASimAuthentication)'
'Identifies when an RDP connection is new or rare related to any logon type by a given account today compared with the previous 14 days.
RDP connections are indicated by the EventID 4624 with LogonType = 10'
RDP connections are indicated by the EventID 4624 with LogonType = 10'
This query looks for local admin account used to logon into the computer.
This can help to detect malicious insiders that were able to add a local account to the local admin group offline.
This can help to detect malicious insiders that were able to add a local account to the local admin group offline.
'This query identifies Microsoft-signed Binaries and Scripts that are not system initiated. This technique is commonly used in phishing attacks'
'This query combines different Storage alerts with CommonSecurityLogs and StorageLogs helping analysts triage and investigate any
possible Storage related attacks faster thus reducing Mean Time To Respond'
possible Storage related attacks faster thus reducing Mean Time To Respond'
'Query identifies beaconing patterns from Wire Data logs. Uses KQL functions to calculate time delta and find beaconing percentage. Results of beaconing to untrusted public networks can be investigated.'
In this query, we are looking for emails containing malware accessed on a unmanaged device
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
'This hunting query will try to identify instances where a file us uploaded to file storage and then deleted
within a given threshold. By default the query will find instances where a file is uploaded and deleted within
5 minutes. This hunting query will help detect automated exfiltration.'
within a given threshold. By default the query will find instances where a file is uploaded and deleted within
5 minutes. This hunting query will help detect automated exfiltration.'
'Summarize all the failures and success events for all users in the last 24 hours,
only identify users with more than 100 failures in the set period'
only identify users with more than 100 failures in the set period'
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