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Lacey Cochrane

@NullVectorX
USTrusted contributorCompletionist
11 followers159 downloads2,514 copies56 likes67,916 views

245 detections

Detects repeated failed AWS console login attempts from the same IP address within a one-hour window, indicating a potential brute-force attack against AWS accounts.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
8 months ago
7079
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.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
8 months ago
3068
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.
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Lacey Cochrane@NullVectorX
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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.
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Lacey Cochrane@NullVectorX
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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.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
8 months ago
1061
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.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
8 months ago
60127
Detects an identity signing in from two or more distinct geolocations within a one-hour window in Azure, indicating potential impossible travel activity.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
8 months ago
10086
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.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
8 months ago
3069
Detects an identity downloading an unusually high number of blobs (more than 100) from Azure Storage within a one-hour window. This could indicate data exfiltration or unauthorized bulk access to cloud storage.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
8 months ago
5064
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.
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Lacey Cochrane@NullVectorX
avatar
XQL Threat Forge
8 months ago
3061
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