Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

4,253 detections

This query uncovers seen IPAddressV6 network subnets
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0012
This query finds devices by DeviceType and/or DeviceSubtype
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0012
The following queries pivot from an IP address assigned to a machine to the relevant machine or logged-on users.
To read more about it, check out this post: https://techcommunity.microsoft.com/t5/What-s-New/Advanced-hunting-now-includes-network-adapters-information/m-p/224402#M74.
Query #1: get machines that have used a given local IP address at a given time - as configured on their network adapters.
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
1012
This query was originally published in the threat analytics report, Operation Soft Cell.
Operation Soft Cell is a series of campaigns targeting users' call logs at telecommunications providers throughout the world. These attacks date from as early as 2012.
Operation Soft Cell operators have been known to run nbtscan.exe, a legitimate MS-DOS command-line tool used to discover any NETBIOS nameservers on a local or remote TCP/IP network.
The following query detects any nbtscan activity on the system over the past seven days.
Reference - https://www.cybereason.com/blog/operation-soft-cell-a-worldwide-campaign-against-telecommunications-providers
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0012
This query was originally published in the threat analytics report, Operation Soft Cell.
Operation Soft Cell is a series of campaigns targeting users' call logs at telecommunications providers throughout the world. These attacks date from as early as 2012.
Operation Soft Cell operators sometimes use legitimate web server processes to launch commands, especially for network discovery and user/owner discovery. The following query detects activity of this kind.
Reference - https://www.cybereason.com/blog/operation-soft-cell-a-worldwide-campaign-against-telecommunications-providers
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0012
Identify dllhost.exe using WMIC to discover additional hosts and associated domain.
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
1011
The following queries pivot from an IP address assigned to a machine to the relevant machine or logged-on users.
To read more about it, check out this post: https://techcommunity.microsoft.com/t5/What-s-New/Advanced-hunting-now-includes-network-adapters-information/m-p/224402#M74.
Query #1: get machines that have used a given local IP address at a given time - as configured on their network adapters.
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0011
'This alerts when end to end encryption is disabled for Zoom meetings.'
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0011
This query provides the most common services discovered
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0010
This query was originally published in the threat analytics report, Doppelpaymer: More human-operated ransomware. There is also a related blog.
DoppelPaymer is ransomware that is spread manually by human operators. These operators have exhibited extensive knowledge of system administration and common network security misconfigurations. For example, they may use net.exe to run reconnaissance and find service accounts to target. They often use stolen credentials from over-privileged service accounts to turn off security software, run malicious commands, and spread malware throughout an organization.
The following query detects the net.exe reconnaissance method described above.
The See also section below lists links to other queries associated with DoppelPaymer.
References:
https://msrc-blog.microsoft.com/2019/11/20/customer-guidance-for-the-dopplepaymer-ransomware/
https://www.microsoft.com/wdsi/threats/malware-encyclopedia-description?Name=Trojan:Win32/DoppelPaymer!MTB&threatId=-2147205372
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
1010
'Beyond your internal software management systems, it is possible you may not have visibility into your entire footprint of SolarWinds installations. This is intended to help use process exection information to discovery any systems that have SolarWinds processes'
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
009
This query uncovers seen connected networks
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
009
This query presents statistics on count and percentage of DeviceType out of total inventory
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
009
This query was originally published in the threat analytics report, Trickbot: Pervasive & underestimated.
Trickbot is a very prevalent piece of malware with an array of malicious capabilities. Originally designed to steal banking credentials, it has since evolved into a modular trojan that can deploy other malware, disable security software, and perform command and control (C2) operations.
Trickbot operators are known to use the legitimate Windows process rundll.exe to perform malicious activities, such as reconnaissance. Once a target is infected, the operator will drop a batch file that runs several commands and connects to a C2 server for further action.
The following query detects suspicious rundll.exe activity associated with Trickbot campaigns.
See Office applications launching wscript.exe to run JScript for another query related to Trickbot activity.
Reference - https://attack.mitre.org/software/S0266/
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
009
This query searches for not onboarded devices with a specific prefix
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
008
The following queries pivot from an IP address assigned to a machine to the relevant machine or logged-on users.
To read more about it, check out this post: https://techcommunity.microsoft.com/t5/What-s-New/Advanced-hunting-now-includes-network-adapters-information/m-p/224402#M74.
Query #1: get machines that have used a given local IP address at a given time - as configured on their network adapters.
Azure Sentinel@AzureSentinel
avatar
AzureSentinel
1 year ago
008
The following queries pivot from an IP address assigned to a machine to the relevant machine or logged-on users.
To read more about it, check out this post: https://techcommunity.microsoft.com/t5/What-s-New/Advanced-hunting-now-includes-network-adapters-information/m-p/224402#M74.
Query #1: get machines that have used a given local IP address at a given time - as configured on their network adapters.
Azure Sentinel@AzureSentinel
avatar
AzureSentinel
1 year ago
008
This query surfaces devices that are in a specific IPAddressV6 subnet
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
007
This query was originally published in the threat analytics report, Qakbot blight lingers, seeds ransomware
Qakbot is malware that steals login credentials from banking and financial services. It has been deployed against small businesses as well as major corporations. Some outbreaks have involved targeted ransomware campaigns that use a similar set of techniques. Links to related queries are listed under See also.
The following query detects attempts to access files in the local path that contain Outlook emails.
Reference - https://www.microsoft.com/security/blog/2017/11/06/mitigating-and-eliminating-info-stealing-qakbot-and-emotet-in-corporate-networks/
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
007
The following analytic detects a spike in the number of API calls made to cloud security groups by a user. It leverages data from the Change data model, focusing on successful firewall-related changes. This activity is significant because an abnormal increase in security group API calls can indicate potential malicious activity, such as unauthorized access or configuration changes. If confirmed malicious, this could allow an attacker to manipulate security group settings, potentially exposing sensitive resources or disrupting network security controls.
Splunk Security@SplunkSecurity
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Splunk Security Content
1 year ago
0047
This YARA rule detects the VanHelsing ransomware based on specific byte patterns associated with its file encryption routines, network enumeration capabilities, shadow copy deletion, and ransomware note dropping. The rule includes two main versions of the ransomware's functionality, indicating potential evolution or different variants.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
1 year ago
0030
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