Azure Sentinel
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This query searches for a string pattern detected in evasive PowerShell usage. Jupyter or SolarMarker will iterate on this pattern multiple times to read data and call additional processes. This query is not fully specific to Jupyter or SolarMarker, and will also return other malicious malware, but is unlikely to return false positives.
'It is possible that a disabled user account is compromised and another account on the same IP is used to perform operations that are not typical for that user.
The query filters the SigninLogs for entries where ResultType is indicates a disabled account and the TimeGenerated is within a defined time range.
It then summarizes these entries by IPAddress and AppId, calculating various statistics such as number of login attempts, distinct UPNs, App IDs etc and joins these results with another set of results from SigninLogs, filtering for entries with less than normal number of successful sign-ins.
It then filters out entries where there were no successful sign-ins or where successful sign-ins did not occur within the same lookback period as the failed sign-ins, later projecting relevant fields by the count of login attempts, and expands the set of successful sign-ins into individual events.
Finally, it joins these results with entries from OfficeActivity where certain operations deemed rare and high risk have been performed, ensuring their occurrance within a certain time range of the successful sign-ins.'
The query filters the SigninLogs for entries where ResultType is indicates a disabled account and the TimeGenerated is within a defined time range.
It then summarizes these entries by IPAddress and AppId, calculating various statistics such as number of login attempts, distinct UPNs, App IDs etc and joins these results with another set of results from SigninLogs, filtering for entries with less than normal number of successful sign-ins.
It then filters out entries where there were no successful sign-ins or where successful sign-ins did not occur within the same lookback period as the failed sign-ins, later projecting relevant fields by the count of login attempts, and expands the set of successful sign-ins into individual events.
Finally, it joins these results with entries from OfficeActivity where certain operations deemed rare and high risk have been performed, ensuring their occurrance within a certain time range of the successful sign-ins.'
'Identifies any Azure VM Run Command operations and links these operations with
MDE host logging. Linking these two data sources provides hunting opportunities.
Logging from AzureActivity provides the IP address and UPN of the account that
invoked the command. Joining this with logging from MDE provides insights into
what cmdlets were loaded by the command.'
MDE host logging. Linking these two data sources provides hunting opportunities.
Logging from AzureActivity provides the IP address and UPN of the account that
invoked the command. Joining this with logging from MDE provides insights into
what cmdlets were loaded by the command.'
'Identifies when Azure Run command is used to execute a PowerShell script on a VM that is unique.
The uniqueness of the PowerShell script is determined by taking a combined hash of the cmdLets it imports and the file size of the PowerShell script. Alerts from this detection indicate a unique PowerShell was executed in your environment.'
The uniqueness of the PowerShell script is determined by taking a combined hash of the cmdLets it imports and the file size of the PowerShell script. Alerts from this detection indicate a unique PowerShell was executed in your environment.'
Looks for a new MFA method added to an account that was preceded by medium or high risk sign-in session for the same user within maximum 6h timeframe
'Identifies contacts with domains names in CommonSecurityLog that might have been generated by a Domain Generation Algorithm (DGA). DGAs can be used by malware to generate rendezvous points that are difficult to predict in advance.
This detection uses the Alexa Top 1 million domain names to build a model of what normal domains look like. It uses this to identify domains that may have been randomly generated by an algorithm.
The triThreshold is set to 500 - increase this to report on domains that are less likely to have been randomly generated, decrease it for more likely.
The start time and end time look back over 6 hours of data and the dgaLengthThreshold is set to 8 - meaning domains whose length is 8 or more are reported.
NOTE - The top1M csv zip file used in the query is dynamic and may produce different results over various time periods. It's important to cross-check the events against the entities involved in the incident.'
This detection uses the Alexa Top 1 million domain names to build a model of what normal domains look like. It uses this to identify domains that may have been randomly generated by an algorithm.
The triThreshold is set to 500 - increase this to report on domains that are less likely to have been randomly generated, decrease it for more likely.
The start time and end time look back over 6 hours of data and the dgaLengthThreshold is set to 8 - meaning domains whose length is 8 or more are reported.
NOTE - The top1M csv zip file used in the query is dynamic and may produce different results over various time periods. It's important to cross-check the events against the entities involved in the incident.'
Use this query to find reconnaissance and beaconing activities after code injection occurs.
Reconnaissance commands are consistent with the current version of Qakbot and occur automatically to exfiltrate system information. This data, once exfiltrated, will be used to prioritize human operated actions.
Reconnaissance commands are consistent with the current version of Qakbot and occur automatically to exfiltrate system information. This data, once exfiltrated, will be used to prioritize human operated actions.
'Potential code injection into web server roles via IIS logs scan. Represents attempt to gain initial access using drive-by compromise technique. Detection flags events for review and filtering of authorized activity.'
This query helps hunting for BEC - File sharing tactics - Dropbox
This query helps to hunt for possible email bombing attacks in Microsoft Defender for Office 365.
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