Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
26 detections
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Detects instances where a principal utilizes the iam:PassRole permission to assign a role with higher privileges to a newly created or updated compute resource (Lambda or EC2), potentially allowing the principal to assume the identity and elevated permissions of the passed role.
Detects unauthorized modifications to AWS Bedrock Agent configurations, specifically identifying high-risk activities such as rewriting system prompts for potential prompt injection or attaching cross-account Lambda functions. The rule monitors for UpdateAgent, CreateAgentActionGroup, UpdateAgentActionGroup, and PrepareAgent events.
Detects the creation of AWS Lambda functions by non-standard principals that assign an execution role with potentially broader privileges than the creator, indicative of an IAM privilege escalation technique where an attacker abuses iam:PassRole and lambda:CreateFunction to execute code under an elevated identity.
Detects the creation or modification of AWS Lambda functions that are associated with high-privilege IAM actions and triggered by EventBridge rules monitoring sensitive events like IAM user creation or console logins. This pattern indicates an attempt to establish event-driven, persistent backdoors within the AWS environment by automating malicious actions on new users or logins.
This rule detects network traffic patterns associated with the ARToken phishing campaign, specifically identifying access to lure pages hosted on 'workers.dev' domains with 'docviewer' in the hostname and 'turnstile' challenge responses in the HTTP body, which is used for anti-analysis/evasion.
Detects network activity associated with a phishing campaign leveraging Cloudflare Workers, identified as 'ARToken'. The rules monitor for specific TLS SNI patterns, HTTP Host headers, and subsequent C2-like behavior involving device code authentication flows (api/device/start and api/device/poll) hosted on 'workers.dev'.
Detects browser-based network requests to 'script.google.com'. This can indicate usage of Google Apps Scripts, which are sometimes abused by attackers for Command and Control (C2) infrastructure, data exfiltration, or as a proxy for malicious payloads, by blending in with legitimate Google traffic.
Detects the creation or modification of Microsoft Power Automate flows that integrate internal Microsoft 365 services (SharePoint, OneDrive, Exchange) with external communication or exfiltration targets (HTTP requests, external email addresses, or common external web services). This behavior is often indicative of automated data exfiltration.
Detects the creation or modification of Microsoft Power Automate flows that integrate internal Microsoft 365 services (SharePoint, OneDrive, Exchange) with external communication or exfiltration targets (HTTP requests, external email addresses, or common external web services). This behavior is often indicative of automated data exfiltration.
Detects the creation or modification of Microsoft Power Automate flows that integrate internal Microsoft 365 services (SharePoint, OneDrive, Exchange) with external communication or exfiltration targets (HTTP requests, external email addresses, or common external web services). This behavior is often indicative of automated data exfiltration.
Detects the creation or modification of Microsoft Power Automate flows that integrate internal Microsoft 365 services (SharePoint, OneDrive, Exchange) with external communication or exfiltration targets (HTTP requests, external email addresses, or common external web services). This behavior is often indicative of automated data exfiltration.
Detects the creation or modification of Microsoft Power Automate flows that integrate internal Microsoft 365 services (SharePoint, OneDrive, Exchange) with external communication or exfiltration targets (HTTP requests, external email addresses, or common external web services). This behavior is often indicative of automated data exfiltration.
This rule monitors the creation of new Azure Function Apps and identifies those that receive external, non-private network requests within 48 hours of their creation. This pattern may indicate the deployment of malicious or unauthorized serverless infrastructure for command-and-control, proxying, or automated tasks.
This rule monitors the creation of new Azure Function Apps and identifies those that receive external, non-private network requests within 48 hours of their creation. This pattern may indicate the deployment of malicious or unauthorized serverless infrastructure for command-and-control, proxying, or automated tasks.
This rule detects the successful execution of the 'Run Command' action on Azure virtual machines outside of defined business hours (8 AM to 6 PM). Run Command allows the execution of arbitrary scripts on a VM, which can be leveraged for administrative tasks but also by attackers for post-exploitation activities, persistence, or lateral movement. Monitoring these operations during off-hours may indicate unauthorized use or anomalous administrative activity.
This rule monitors the creation of new Azure Function Apps and identifies those that receive external, non-private network requests within 48 hours of their creation. This pattern may indicate the deployment of malicious or unauthorized serverless infrastructure for command-and-control, proxying, or automated tasks.
This rule detects the successful execution of the 'Run Command' action on Azure virtual machines outside of defined business hours (8 AM to 6 PM). Run Command allows the execution of arbitrary scripts on a VM, which can be leveraged for administrative tasks but also by attackers for post-exploitation activities, persistence, or lateral movement. Monitoring these operations during off-hours may indicate unauthorized use or anomalous administrative activity.
This rule detects the successful execution of the 'Run Command' action on Azure virtual machines outside of defined business hours (8 AM to 6 PM). Run Command allows the execution of arbitrary scripts on a VM, which can be leveraged for administrative tasks but also by attackers for post-exploitation activities, persistence, or lateral movement. Monitoring these operations during off-hours may indicate unauthorized use or anomalous administrative activity.
Detects suspicious AWS Lambda function invocations
Detects suspicious AWS Lambda function invocations
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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