Detections

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

55 detections

'This detection uses Windows security events to detect suspicious access attempts to the registry key values and sub-keys of Microsoft Entra ID Health service agents (e.g AD FS).
Information from AD Health service agents can be used to potentially abuse some of the features provided by those services in the cloud (e.g. Federation).
This detection requires an access control entry (ACE) on the system access control list (SACL) of the following securable object: HKLM:\SOFTWARE\Microsoft\ADHealthAgent.
Make sure you set the SACL to propagate to its sub-keys. You can find more information in here https://github.com/OTRF/Set-AuditRule/blob/master/rules/registry/aad_connect_health_service_agent.yml
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Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0019
Detects the use of reg.exe to export registry paths associated with third-party credentials. Credential stealers have been known to use this technique to extract sensitive information from the registry.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
0024
This rule detects processes that query known third-party application registry keys that are known to store credentials. The detection specifically looks for command-line arguments containing paths to registry keys associated with applications like Foxmail, DownloadManager, CoreFTP, IncrediMail, WinSCP, MobaXterm, OpenSSH, OpenVPN, Radmin, Eudora, RealVNC, B2, PuTTY, and TightVNC. This activity often indicates an adversary attempting to discover or extract credentials stored by these applications.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
0024
Detects processes that query known 3rd party registry keys that holds credentials via commandline
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
000
Detects the use of reg.exe to export registry paths associated with third-party credentials.
Credential stealers have been known to use this technique to extract sensitive information from the registry.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
000
The following analytic detects suspicious registry modifications that implement auto admin logon by adding DefaultUserName and DefaultPassword values. It leverages data from the Endpoint.Registry data model, specifically monitoring changes to the "SOFTWARE\Microsoft\Windows NT\CurrentVersion\Winlogon" registry path. This activity is significant because it is associated with BlackMatter ransomware, which uses this technique to automatically log on to compromised hosts and continue encryption after a safe mode boot. If confirmed malicious, this could allow attackers to maintain persistence and further encrypt the network, leading to significant data loss and operational disruption.
Splunk Security@SplunkSecurity
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Splunk Security Content
1 year ago
1054
The following analytic identifies processes querying the registry for potential passwords or credentials. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions that access specific registry paths known to store sensitive information. This activity is significant as it may indicate credential theft attempts, often used by adversaries or post-exploitation tools like winPEAS. If confirmed malicious, this behavior could lead to privilege escalation, persistence, or lateral movement within the network, posing a severe security risk.
Splunk Security@SplunkSecurity
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Splunk Security Content
1 year ago
0040
The following analytic detects a suspicious registry modification that enables auto admin logon on a host. It leverages data from the Endpoint.Registry data model, specifically looking for changes to the "AutoAdminLogon" value within the "SOFTWARE\\Microsoft\\Windows NT\\CurrentVersion\\Winlogon" registry path. This activity is significant because it was observed in BlackMatter ransomware attacks to maintain access after a safe mode reboot, facilitating further encryption. If confirmed malicious, this could allow attackers to automatically log in and continue their operations, potentially leading to widespread network encryption and data loss.
Splunk Security@SplunkSecurity
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Splunk Security Content
1 year ago
0037
This rule detects the use of 'wbadmin.exe' to recover files from backups. Adversaries may use this technique to restore sensitive files, such as NTDS.DIT (Active Directory database) or Registry Hives, from backups. These files can then be analyzed offline to extract credentials or other sensitive information, potentially leading to further compromise.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
0014
Detects attempts to request a handle to the Security Account Manager (SAM) registry hive. Accessing the SAM hive can indicate an adversary attempting to dump credentials.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
1022
This rule detects attempts to enumerate credentials stored in the Windows Registry using the `reg.exe` utility. Specifically, it looks for `reg.exe` commands that query for string values (`/t REG_SZ`) recursively (`/s`) within the HKLM (Local Machine) or HKCU (Current User) hives, or specifically targets the PuTTY sessions key in HKCU. This activity is indicative of an adversary searching for insecurely stored credentials that can be used for further access.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
0015
Detects the execution of the built-in 'copy' command targeting a Volume Shadow Copy. This technique is often used by adversaries to exfiltrate sensitive files, such as registry hives, that are actively in use and locked by the operating system. By copying from a shadow copy, adversaries can bypass file locks and access system-critical data.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
0013
Adversaries may search the Registry on compromised systems for insecurely stored credentials.
The Windows Registry stores configuration information that can be used by the system or other programs.
Adversaries may query the Registry looking for credentials and passwords that have been stored for use by other programs or services
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
000
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