Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
3,000 detections
Filters
Last updated
All Time
Detection languages
1,438
479
390
321
192
Contributors
650
521
286
272
264
Categories
20,443
11,831
5,872
5,155
4,866
3,000
Platforms
1,197
672
622
513
218
Products / Services
879
726
311
255
229
MITRE Techniques
1,659
1,107
903
465
462
CVEs
6
5
5
5
5
IDS Classtypes
49
13
6
3
2
IDS Protocols
40
31
1
This analytic identifies when an O365 email account sends an email and then hard deletes email within a short period (within 1 hour). This behavior may indicate a compromised account where the threat actor is attempting to remove forensic artifacts or evidence of activity. Threat actors often use this technique to prevent defenders and victims from knowing the account has been compromised.
The analytic detects the creation or update of privileged pods in Kubernetes. It identifies this activity by monitoring Kubernetes Audit logs for pod configurations that include root privileges. This behavior is significant for a SOC as it could indicate an attempt to escalate privileges, exploit the kernel, and gain full access to the host's namespace and devices. If confirmed malicious, this activity could lead to unauthorized access to sensitive information, data breaches, and service disruptions, posing a severe threat to the environment.
The following analytic identifies instances where a user in the Office 365 environment grants consent to an application requesting file permissions for OneDrive or SharePoint. It leverages O365 audit logs, focusing on OAuth application consent events. This activity is significant because granting such permissions can allow applications to access, modify, or delete files, posing a risk if the application is malicious or overly permissive. If confirmed malicious, this could lead to data breaches, data loss, or unauthorized data manipulation, necessitating immediate investigation to validate the application's legitimacy and assess potential risks.
The analytic detects when emails are accessed in Office 365 Exchange via Exchange Web Services (EWS) using OAuth-authenticated applications. It leverages the ClientInfoString field to identify EWS interactions and aggregates metrics such as access counts, timing, and client IP addresses, categorized by user, ClientAppId, OperationCount, and AppId. Monitoring OAuth applications accessing emails through EWS is crucial for identifying potential abuse or unauthorized data access. If confirmed malicious, this activity could lead to unauthorized email access, data exfiltration, or further compromise of sensitive information.
This analytic identifies when Office 365 users search for suspicious keywords or have an excessive number of queries to a SharePoint site within a limited timeframe. This behavior may indicate that a malicious actor has gained control of a user account and is conducting discovery or enumeration activities.
The analytic detects the deletion of critical AWS Security Services configurations, such as CloudWatch alarms, GuardDuty detectors, and Web Application Firewall rules. It leverages Amazon Security Lake logs to identify specific API calls like "DeleteLogStream" and "DeleteDetector." This activity is significant because adversaries often use these actions to disable security monitoring and evade detection. If confirmed malicious, this could allow attackers to operate undetected, leading to potential data breaches, unauthorized access, and prolonged persistence within the AWS environment.
This analytic detects the creation of AWS KMS keys with an encryption policy accessible to everyone, including external entities. It leverages AWS CloudTrail logs from Amazon Security Lake to identify `CreateKey` or `PutKeyPolicy` events where the `kms:Encrypt` action is granted to all principals. This activity is significant as it may indicate a compromised account, allowing an attacker to misuse the encryption key to target other organizations. If confirmed malicious, this could lead to unauthorized data encryption, potentially disrupting operations and compromising sensitive information across multiple entities.
This analytic identifies the use of the GCPloit exploitation framework within Google Cloud Platform (GCP). It detects specific GCP Pub/Sub messages with a function timeout of 539 seconds, which is indicative of GCPloit activity. This detection is significant as GCPloit can be used to escalate privileges and facilitate lateral movement from compromised high-privilege accounts. If confirmed malicious, this activity could allow attackers to gain unauthorized access, escalate their privileges, and move laterally within the GCP environment, potentially compromising sensitive data and critical resources.
The following analytic detects CrowdStrike alerts for admin weak password policy violations, identifying instances where administrative passwords do not meet security standards. These alerts highlight significant vulnerabilities that could be exploited by attackers to gain unauthorized access. Promptly addressing these alerts is crucial for maintaining robust security and protecting critical systems and data from potential threats.
The following analytic identifies instances where email forwarding has been enabled on mailboxes within an Office 365 environment. It detects this activity by monitoring the Set-Mailbox operation within the o365_management_activity logs, specifically looking for changes to the ForwardingAddress or ForwardingSmtpAddress parameters. This activity is significant as unauthorized email forwarding can lead to data exfiltration and unauthorized access to sensitive information. If confirmed malicious, attackers could intercept and redirect emails, potentially compromising confidential communications and leading to data breaches.
The following analytic identifies instances where admin consent is granted to an application within an Azure AD tenant. It leverages Azure AD audit logs, specifically events related to the admin consent action within the ApplicationManagement category. This activity is significant because admin consent allows applications to access data across the entire tenant, potentially exposing vast amounts of organizational data. If confirmed malicious, an attacker could gain extensive and persistent access to sensitive data, leading to data exfiltration, espionage, further malicious activities, and potential compliance violations.
The following analytic detects the addition of a new custom domain within an Azure Active Directory (AD) tenant. It leverages Azure AD AuditLogs to identify successful "Add unverified domain" operations. This activity is significant as it may indicate an adversary attempting to establish persistence by setting up identity federation backdoors, allowing them to impersonate users and bypass authentication mechanisms. If confirmed malicious, this could enable attackers to gain unauthorized access, escalate privileges, and maintain long-term access to the Azure AD environment, posing a severe security risk.
The following analytic detects the assignment of privileged Azure Active Directory roles to a user. It leverages Azure AD audit logs, specifically monitoring the "Add member to role" operation. This activity is significant as adversaries may assign privileged roles to compromised accounts to maintain persistence within the Azure AD environment. If confirmed malicious, this could allow attackers to escalate privileges, access sensitive information, and maintain long-term control over the Azure AD infrastructure.
The following analytic identifies when Office 365 users search for suspicious keywords or have an excessive number of queries to a mailbox within a limited timeframe. This behavior may indicate that a malicious actor has gained control of a mailbox and is conducting discovery or enumeration activities.
The analytic detects the assignment of an Azure AD Privileged Identity Management (PIM) role. It leverages Azure Active Directory events to identify when a user is added as an eligible member to a PIM role. This activity is significant because PIM roles grant elevated privileges, and their assignment should be closely monitored to prevent unauthorized access. If confirmed malicious, an attacker could exploit this to gain privileged access, potentially leading to unauthorized actions, data breaches, or further compromise of the environment.
The analytic detects the addition of new credentials to Service Principals and Applications in Azure AD. It leverages Azure AD AuditLogs, specifically monitoring the "Update application*Certificates and secrets management" operation. This activity is significant as it may indicate an adversary attempting to maintain persistent access or escalate privileges within the Azure environment. If confirmed malicious, attackers could use these new credentials to log in as the service principal, potentially compromising sensitive accounts and resources, leading to unauthorized access and control over the Azure environment.
The following analytic identifies when cross-tenant access/synchronization policies are changed in an Azure tenant. Adversaries have been observed altering victim cross-tenant policies as a method of lateral movement or maintaining persistent access to compromised environments. These policies should be considered sensitive and monitored for changes and/or loose configuration.
This analytic identifies when an Office 365 email recipient receives and then deletes emails related to both password changes and banking/payroll changes within a short period. This behavior may indicate a compromised account where a threat actor is attempting to redirect the victim's payroll to an attacker-controlled bank account. The rule correlates message trace logs with management activity logs to detect the receipt and subsequent deletion of specific types of emails.
The analytic detects the assignment of critical Graph API permissions in Azure AD using the O365 Unified Audit Log. It focuses on permissions such as Application.ReadWrite.All, AppRoleAssignment.ReadWrite.All, and RoleManagement.ReadWrite.Directory. The detection method leverages Azure Active Directory workload events, specifically 'Update application' operations. This activity is significant as these permissions provide extensive control over Azure AD settings, posing a high risk if misused. If confirmed malicious, this could allow unauthorized modifications, leading to potential data breaches or privilege escalation. Immediate investigation is crucial.
This analytic detects the activation of an Azure AD Privileged Identity Management (PIM) role. It leverages Azure Active Directory events to identify when a user activates a PIM role assignment, indicated by the "Add member to role completed (PIM activation)" operation. Monitoring this activity is crucial as PIM roles grant elevated privileges, and unauthorized activation could indicate an adversary attempting to gain privileged access. If confirmed malicious, this could lead to unauthorized administrative actions, data breaches, or further compromise of the Azure environment.
This analytic detects the registration of a new Multi-Factor Authentication (MFA) method for a user account within Office 365. It leverages O365 audit logs to identify changes in MFA configurations. This activity is significant as it may indicate an attacker's attempt to maintain persistence on a compromised account. If confirmed malicious, the attacker could bypass existing security measures, solidify their access, and potentially escalate privileges or access sensitive data. Immediate verification and remediation are required to secure the affected account.
Page 125 of 143