Detections

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

2,831 detections

This rule detects the modification or addition of redirect URIs for Azure Active Directory applications or service principals that point to suspicious domains. These suspicious domains include known reverse proxy/tunneling services (e.g., ngrok, cloudflare tunnel), callback infrastructure (e.g., burpcollaborator, interact.sh), or localhost/loopback addresses. Such modifications can indicate an adversary attempting to establish persistence, exfiltrate data, or redirect authentication flows to attacker-controlled infrastructure.
avatar
Lacey Cochrane@NullVectorX
avatar
XQL Threat Forge
7 months ago
50157
This rule detects unusual modifications to Azure Arc machine identities or Role-Based Access Control (RBAC) assignments following local activity. It specifically looks for 'Write', 'Update', or 'Assign' operations on resources within the 'Microsoft.HybridCompute' resource provider where the properties include 'identity' or 'roleAssignment'. This could indicate an attempt to establish persistence or escalate privileges on hybrid machines.
avatar
Aitor Fernández@aitorsbio
avatar
Detections.ai Community
7 months ago
210355
Detects the creation of highly privileged Kubernetes pods in the 'kube-system' namespace matching the naming convention 'node-setup-*', indicative of TeamPCP lateral movement techniques. These pods request elevated privileges such as 'hostPID', 'hostNetwork', and 'privileged'.
avatar
Brandon Rodriguez@BMRodriguez
avatar
Federal Signal Detections
7 months ago
30122
This rule detects several types of suspicious activities related to Microsoft Graph API calls, specifically targeting device management actions. It identifies: 1. Actions from an IP address not previously seen for a given caller identity. 2. Actions performed by a service principal that has not been observed before. 3. High-risk actions (e.g., device wipe, retire, remote lock, reset passcode) or device configuration changes occurring outside of business hours or on weekends. 4. Bulk device targeting, where a single caller identity performs actions on a large number of devices within a short time frame. These detections aim to identify potential compromise of accounts or malicious administrative actions.
avatar
Ethan Andrews@eandrews
avatar
Federal Signal Detections
8 months ago
280310
Detects modifications to AWS EC2 security groups that allow SSH (port 22) or RDP (port 3389) access from any IP address (0.0.0.0/0) to instances. This configuration significantly increases the attack surface and can be an indicator of unauthorized access attempts, misconfigurations, or malicious activity.
avatar
Lacey Cochrane@NullVectorX
avatar
XQL Threat Forge
8 months ago
50130
Detects when the AWS EC2 GetPasswordData API call is made. This API call retrieves the Windows administrator password for an EC2 instance, which could indicate an attempt to gain unauthorized access to an instance.
avatar
Lacey Cochrane@NullVectorX
avatar
XQL Threat Forge
8 months ago
20124
Detects modifications to Azure AD federation settings or domain authentication methods. Such changes can be indicative of a Golden SAML attack, where an attacker establishes a new federation trust to forge SAML tokens and gain unauthorized access.
avatar
Ethan Andrews@eandrews
avatar
Federal Signal Detections
8 months ago
80187
Detects when an AWS KMS key deletion is scheduled from a source that is not identified as an Infrastructure as Code (IaC) tool (e.g., CloudFormation or Terraform). This could indicate unauthorized attempts to destroy cryptographic keys, potentially leading to data unavailability or integrity issues.
avatar
Lacey Cochrane@NullVectorX
avatar
XQL Threat Forge
8 months ago
7099
Detects access to Azure Blob Storage using Shared Access Signature (SAS) authentication. This rule specifically looks for successful blob operations where the authentication type is SAS and the identity name matches 'key1' or 'key2', which are often associated with storage account access keys used to generate SAS tokens. Monitoring such access can help identify unauthorized or suspicious use of SAS tokens.
avatar
Lacey Cochrane@NullVectorX
avatar
XQL Threat Forge
8 months ago
3096
This rule detects the creation of Amazon SNS (Simple Notification Service) subscriptions that are configured to send notifications to external HTTP or HTTPS endpoints. It specifically looks for `Subscribe` events from the `sns.amazonaws.com` service where the `protocol` is either `http` or `https` and the `endpoint` does not belong to Amazon's own domains (amazon.com, awsapps.com, amazonaws.com). This could indicate data exfiltration or misconfiguration where sensitive information might be sent to an unapproved external service.
avatar
Lacey Cochrane@NullVectorX
avatar
XQL Threat Forge
8 months ago
3067
Detects enumeration of AWS SES email identities and sending quotas. This activity can indicate an attacker performing reconnaissance before launching phishing or Business Email Compromise (BEC) attacks. The rule identifies multiple distinct SES operations related to identity and quota checks performed by a single user within a two-hour window.
avatar
Lacey Cochrane@NullVectorX
avatar
XQL Threat Forge
8 months ago
2066
This rule detects potential GraphRunner activity in Azure environments by identifying suspicious authentication attempts to Microsoft Graph using the 'deviceCode' authentication protocol, combined with specific user agent strings associated with the GraphRunner tool. It categorizes detections into high confidence (both device code and suspicious user agent), device code authentication only, or suspicious user agent only.
avatar
Lacey Cochrane@NullVectorX
avatar
XQL Threat Forge
8 months ago
171332
Detects when a commonly abused or dormant/opt-in AWS region is enabled in an account. Adversaries may enable unused AWS regions to evade detection, deploy resources for malicious activities like cryptocurrency mining, or to establish persistence outside of actively monitored regions.
avatar
Lacey Cochrane@NullVectorX
avatar
XQL Threat Forge
8 months ago
1061
This rule detects impossible travel scenarios for user sign-ins that occur shortly after a device associated with that user has been wiped, retired, or deleted. It calculates the speed between consecutive sign-in locations for the same user and flags any travel exceeding 900 km/h, indicating a potential compromise or fraudulent activity.
avatar
Chintan Gurjar@chintangurjar
avatar
Detections.ai Community
8 months ago
190202
KQL Query
avatar
Steven Lim@KQLWizard
avatar
SlimKQL 2026
8 months ago
590534
Detects successful sign-ins to the Microsoft Intune Company Portal (AppId '9ba1a5c7-f17a-4de9-a1f1-6178c8d51223') where Conditional Access Policies (CAP) have failed. This indicates an attempt to bypass device compliance requirements, potentially allowing access from non-compliant or unmanaged devices.
avatar
F S@Fsdr
avatar
Detections.ai Community
8 months ago
390410
Detects when a successful AWS Console Login is immediately followed by discovery actions from the same user and IP address. This pattern is indicative of an attacker performing reconnaissance after gaining initial access, as seen in recent AWS phishing campaigns.
avatar
Bryant Smith@flowstate
avatar
Detections.ai Community
8 months ago
30114
Detects unauthenticated or anonymous access attempts to Azure Blob Storage. This rule identifies successful operations where the identity is explicitly listed as 'anonymous', indicating potential misconfigurations or unauthorized access to sensitive data.
avatar
Lacey Cochrane@NullVectorX
avatar
XQL Threat Forge
8 months ago
60127
Detects when the same AWS IAM user ARN performs actions from more than one distinct source IP within a 1-hour window. Indicative of session hijacking, credential sharing, or AiTM compromise where attacker egress IP differs from the victim's IP. AssumedRole is excluded by default due to high noise from automation — add back with tuned ARN exclusions if needed.
avatar
Bryant Smith@flowstate
avatar
Detections.ai Community
8 months ago
3052
This rule detects the installation of suspicious extensions on Azure Virtual Machines. These extensions, such as CustomScriptExtension, RunCommandHandler, DSCExtension, AADLoginForWindows, and NetworkWatcherAgent, can be abused by attackers for various purposes including remote code execution, configuration manipulation, unauthorized account access, or network reconnaissance. Monitoring their installation can help identify potential compromise or malicious activity within an Azure environment.
avatar
Lacey Cochrane@NullVectorX
avatar
XQL Threat Forge
8 months ago
3068
This rule detects unusual access patterns to Azure resources where a single identity (user or service principal) accesses resources from multiple distinct IP addresses and/or geographic locations within a 7-day timeframe. This behavior can indicate compromised credentials, session hijacking, or an adversary attempting to evade detection by frequently changing their apparent origin.
avatar
Lacey Cochrane@NullVectorX
avatar
XQL Threat Forge
8 months ago
3061
Page 105 of 135