Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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'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)'
'This rule identifies communication with hosts that have a domain name that might have been generated by a Domain Generation Algorithm (DGA).
DGAs are used by malware to generate rendezvous points that are difficult to predict in advance. This detection uses the top 1 million domain names to build a model of what normal domains look like nad uses the model to identify domains that may have been randomly generated by an algorithm. You can modify the triThreshold and dgaLengthThreshold query parameters to change Analytic Rule sensitivity. The higher the numbers, the less noisy the rule is.
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)'
DGAs are used by malware to generate rendezvous points that are difficult to predict in advance. This detection uses the top 1 million domain names to build a model of what normal domains look like nad uses the model to identify domains that may have been randomly generated by an algorithm. You can modify the triThreshold and dgaLengthThreshold query parameters to change Analytic Rule sensitivity. The higher the numbers, the less noisy the rule is.
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)'
'This query combines different SQL alerts with CommonSecurityLogs and AuditLogs helping analysts /investigate any possible SQL related attacks faster
thus reducing Mean Time To Respond'
thus reducing Mean Time To Respond'
'Identifies a match across various data feeds for hashes and IP IOC related to Europium
Reference: https://www.microsoft.com/security/blog/2022/09/08/microsoft-investigates-iranian-attacks-against-the-albanian-government'
Reference: https://www.microsoft.com/security/blog/2022/09/08/microsoft-investigates-iranian-attacks-against-the-albanian-government'
'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'
'Identifies a match across various data feeds for domains, hashes and IP IOC related to Mercury
Reference: https://www.microsoft.com/security/blog/2022/08/25/mercury-leveraging-log4j-2-vulnerabilities-in-unpatched-systems-to-target-israeli-organizations/'
Reference: https://www.microsoft.com/security/blog/2022/08/25/mercury-leveraging-log4j-2-vulnerabilities-in-unpatched-systems-to-target-israeli-organizations/'
Remote Monitoring and Management (RMM) programs are IT to manage remote endpoints. Attackers have begun to abuse these programs to persist or provide C2 channels.
https://github.com/jischell-msft/RemoteManagementMonitoringTools
https://github.com/jischell-msft/RemoteManagementMonitoringTools
'Identifies IP addresses that may be performing DNS lookups associated with common currency mining pools.
This analytic rule uses [ASIM](https://aka.ms/AboutASIM) and supports any built-in or custom source that supports the ASIM DNS schema'
This analytic rule uses [ASIM](https://aka.ms/AboutASIM) and supports any built-in or custom source that supports the ASIM DNS schema'
'CreepyDrive uses OneDrive for command and control, however, it makes regular requests to predicatable paths.
This detecton will alert when over 20 sequences are observed in a single day.'
This detecton will alert when over 20 sequences are observed in a single day.'
'This query searches for successful user logins from different countries within 3 hours.
To use this analytics rule, make sure you have deployed the [ASIM normalization parsers](https://aka.ms/ASimAuthentication)'
To use this analytics rule, make sure you have deployed the [ASIM normalization parsers](https://aka.ms/ASimAuthentication)'
This rule identifies a source that repeatedly fails to authenticate to a web service (HTTP response code 403). This may indicate a [brute force](https://en.wikipedia.org/wiki/Brute-force_attack) or [credential stuffing](https://en.wikipedia.org/wiki/Credential_stuffing) attack.
This rule uses the [Advanced Security Information Model (ASIM)](https://aka.ms/AboutSIM) and supports any web session source that complies with ASIM.
This rule uses the [Advanced Security Information Model (ASIM)](https://aka.ms/AboutSIM) and supports any web session source that complies with ASIM.
'This detection will identify network requests in HTTP proxy data that contains Base64 encoded IP addresses. After identifying candidates the query joins with DeviceNetworkEvents to idnetify any machine within the network using that IP address. Alerts indicate that the IP address of a machine within your network was seen with it's IP address base64 encoded in an outbound web request. This method of egressing the IP was seen used in POLONIUM's RunningRAT tool, however the detection is generic.'
'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.'
The analytic detects instances where network traffic, identified by port and transport layer protocol as prohibited in the "lookup_interesting_ports" table, is allowed. It uses the Network_Traffic data model to cross-reference traffic data against predefined security policies. This activity is significant for a SOC as it highlights potential misconfigurations or policy violations that could lead to unauthorized access or data exfiltration. If confirmed malicious, this could allow attackers to bypass network defenses, leading to potential data breaches and compromising the organization's security posture.
'This detection will alert when RunningRAT URI parameters or paths are detect in an HTTP request.
Id the device blocked this communication presence of this alert means the RunningRAT implant is likely still executing on the source host.'
Id the device blocked this communication presence of this alert means the RunningRAT implant is likely still executing on the source host.'
'Identifies a match across various data feeds for domains related to an actor tracked by Microsoft as Star Blizzard.'
Query 1 shows you any network communication happened from endpoints to a specific Remote IP or Remote URL.
Ensure to update RemoteIP and RemoteURL variable.
For questions @MiladMSFT on Twitter or milad.aslaner@microsoft.com by email.
Ensure to update RemoteIP and RemoteURL variable.
For questions @MiladMSFT on Twitter or milad.aslaner@microsoft.com by email.
'IP addresses of broadband links that usually indicates users attempting to access their home network, for example for a remote session to a home computer.'
'Detects suspicious user agent strings used by crypto miners in proxy logs.'
'Any Alerts that fired related to a given File during the range of +6h and -3d'
'This detection will identify network requests in HTTP proxy data that contains Base64 encoded usernames from machines in the DeviceEvents table.
This technique was seen usee by POLONIUM in their RunningRAT tool.'
This technique was seen usee by POLONIUM in their RunningRAT tool.'
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