Detections

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

3,865 detections

Detects the successful creation or update of an Azure API Management Service. This activity could indicate legitimate administrative actions or, if unexpected, potential unauthorized access or privilege escalation within the Azure environment. Monitoring these events can help identify suspicious configuration changes or resource provisioning by malicious actors.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
001
This rule detects suspicious activity related to Azure Active Directory service principals. It specifically looks for a service principal performing multiple (5 or more within an hour) 'Add service principal', 'Add owner to application', or 'Add permission grant' operations. This pattern could indicate an attacker attempting to escalate privileges or establish persistence within an Azure AD environment by manipulating service principals and application permissions.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
This rule detects suspicious Azure AD sign-in activity where a user successfully signs in from multiple unusual cities within a 24-hour period. It specifically looks for sign-ins that are not from a trusted network and are not from a compliant device, aggregating successful sign-ins by UserPrincipalName and IpAddress, and flagging if there are 5 or more distinct cities.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
This rule detects potential brute force attacks against Azure AD accounts by identifying users with 10 or more failed sign-in attempts due to invalid credentials within a 5-minute window. It summarizes the failure count and associated IP addresses for each user.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
This rule detects potential 'impossible travel' scenarios within Azure AD sign-in logs. It identifies users who successfully sign in to Office 365 from two geographically distant IP addresses within a one-hour window, suggesting a potential compromise or an attempt to bypass security controls.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
002
This rule detects suspicious activity related to Azure Active Directory service principals. It specifically looks for a service principal performing multiple (5 or more within an hour) 'Add service principal', 'Add owner to application', or 'Add permission grant' operations. This pattern could indicate an attacker attempting to escalate privileges or establish persistence within an Azure AD environment by manipulating service principals and application permissions.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
002
This rule detects suspicious application consent activity in Azure AD. It identifies instances where a user successfully grants consent to three or more applications within a one-hour window. This behavior can indicate an adversary attempting to gain access to resources by tricking users into consenting to malicious applications.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
002
Detects named pipe activity with remote access enabled, initiated by JsonVMAccessExtension.exe running as SYSTEM. This may indicate abuse of the Azure VM Access Extension for unauthorized remote access.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
This rule detects HTTP POST requests to the Azure management API (management.azure.com). A high volume of such requests (20 within 10 seconds from the same source) could indicate automated activity, potentially related to command execution or resource manipulation within an Azure environment.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects HTTP traffic directed to 'management.azure.com' with a URI containing 'runCommand'. This pattern indicates an attempt to execute a command on an Azure Virtual Machine using the Azure Run Command feature. This activity is often associated with administrative actions or potential malicious execution on cloud resources.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects HTTP POST requests to Azure Function or Azure Website domains. It specifically looks for hostnames ending in '.azurewebsites.net' or containing '.azurefunctions.' in a case-insensitive manner. A threshold of 20 such requests from the same source within 60 seconds triggers the alert, indicating potential automated activity or remote execution attempts against Azure-hosted applications.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
203
Detects OAuth bearer tokens being reused from unexpected IP addresses
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects large HTTP PUT requests (over 50KB) directed towards common cloud storage services (Amazon S3, Azure Blob Storage, Google Cloud Storage). This activity could indicate data exfiltration to an external cloud account.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
This rule detects attempts to stage large amounts of data (over 65KB) to common cloud storage services (Amazon S3, Azure Blob Storage, Google Cloud Storage) via HTTP PUT requests. This activity is indicative of data being prepared for exfiltration.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
This rule detects a high volume of HTTP GET requests to Azure Blob Storage, specifically targeting '.blob.core.windows.net' domains. A threshold of 50 requests within 60 seconds from a single source IP address triggers the alert, indicating a potential bulk data download activity. This could be indicative of data exfiltration or unauthorized access to cloud storage.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
This rule detects repeated HTTP requests to 'management.azure.com' with the URI '/resources', indicating an attempt to enumerate Azure resource groups. The threshold of 10 requests within 30 seconds from the same source is set to identify potential scanning or reconnaissance activities.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
This rule detects potential file inclusion attempts by monitoring IIS web server logs for URI queries containing keywords like 'file=', 'path=', or 'input='. It then aggregates these attempts by client IP address over one-hour intervals and alerts if 10 or more such attempts are observed from a single IP within that timeframe, indicating a possible attack.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
001
This rule detects attempts to access sensitive configuration or backup files on an IIS web server. It looks for requests where the URI stem contains keywords like '.env', 'config', or 'backup', which are commonly associated with files that may contain sensitive information.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
001
This rule detects potential XML External Entity (XXE) injection attempts by looking for specific XML-related keywords ('<?xml' or 'DOCTYPE') within the URI query string of IIS web server logs. It triggers an alert if three or more such attempts are observed from the same IP address within a one-hour window, indicating a possible automated scanning or attack.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
001
Detects an unusually high volume (100 or more within an hour) of API calls (POST, DELETE, PUT methods to URIs containing 'api') originating from a single IP address. This activity could indicate various malicious behaviors such as brute-force attacks, credential stuffing, web application attacks, or a denial-of-service attempt against the API endpoint.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
001
This rule detects potential path traversal attempts against an IIS web server by looking for sequences like '../' or '..\\' in the URI query string. It triggers an alert if five or more such attempts are observed from a single IP address within an hour, indicating a possible malicious scanning or exploitation attempt.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
001
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