Browse Rules

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86 rules

panther informational python

New AWS Account Created

A new AWS account was created

panther informational python

New User Account Created

A new account was created

elastic medium kql

PowerShell Mailbox Collection Script

Detects PowerShell script block content that indicates programmatic mailbox access using Outlook Interop/MAPI or EWS APIs. Adversaries can use mailbox access to collect email content and attachments for exfiltration.

panther medium python

Azure Restore Point Collection Deleted

Detects when an Azure restore point collection is deleted. Restore point collections contain crash-consistent and application-consistent recovery points for virtual machines. Adversaries may delete these collections to prevent system recovery, destroy forensic evidence, or undermine backup strategies before launching ransomware attacks. This is a strong indicator of inhibiting system recovery capabilities.

panther medium python

Databricks Repeated Access to Secrets

Detects repeated secret access (≥10 times in 60 minutes) which may indicate credential harvesting or unauthorized secret enumeration.

hayabusa medium sigma

Process Memory Dump Via Dotnet-Dump

Detects the execution of "dotnet-dump" with the "collect" flag. The execution could indicate potential process dumping of critical processes such as LSASS.

sigma medium sigma

Process Memory Dump Via Dotnet-Dump

Detects the execution of "dotnet-dump" with the "collect" flag. The execution could indicate potential process dumping of critical processes such as LSASS.

hayabusa medium sigma

Process Memory Dump Via Dotnet-Dump

Detects the execution of "dotnet-dump" with the "collect" flag. The execution could indicate potential process dumping of critical processes such as LSASS.

splunk unknown spl

ESXi Syslog Config Change

This detection identifies changes to the syslog configuration on an ESXi host using esxcli, which may indicate an attempt to disrupt log collection and evade detection.

hayabusa high sigma

HackTool - SOAPHound Execution

Detects the execution of SOAPHound, a .NET tool for collecting Active Directory data, using specific command-line arguments that may indicate an attempt to extract sensitive AD information.

sigma high sigma

HackTool - SOAPHound Execution

Detects the execution of SOAPHound, a .NET tool for collecting Active Directory data, using specific command-line arguments that may indicate an attempt to extract sensitive AD information.

hayabusa high sigma

HackTool - SOAPHound Execution

Detects the execution of SOAPHound, a .NET tool for collecting Active Directory data, using specific command-line arguments that may indicate an attempt to extract sensitive AD information.

elastic high kql

Azure Compute Restore Point Collections Deleted

Identifies multiple Azure Restore Point Collections being deleted by a single user within a short time period. Restore Point Collections contain recovery points for virtual machines, enabling point-in-time recovery capabilities. Mass deletion of these collections is a common tactic used by adversaries during ransomware attacks to prevent victim recovery or to maximize impact during destructive operations. Multiple deletions in rapid succession may indicate malicious intent.

elastic high eql

Sensitive File Access followed by Compression

Detects when a sensitive file is accessed followed by the immediate creation of a compressed file in a suspicious location. This activity can indicate an attempt to collect sensitive local data and stage it for exfiltration.

chronicle unknown yara-l

detect_possible_discovery_and_collection_of_files

This rule detects the commands executed to discover certain file types(other file types can be added depending on document formats prevalent in an organization) using powershell and findstr command which could be indicative of discovery and collection stage of data exfiltration License: https://github.com/Neo23x0/sigma/blob/master/LICENSE.Detection.Rules.md.

elastic-protections high eql

Information Stealer Collection via Find

Detects when the find command is used to search for files followed by the creation or modification of text files, indicating potential automated collection of sensitive information. This technique is commonly observed in npm typosquatting attacks and information stealers where adversaries use find to locate specific files and then aggregate the results into text files for staging before exfiltration. The find command with file type filters allows attackers to efficiently enumerate and collect ta

elastic-protections high eql

Data Encrypted and Archived

Identifies when data is encrypted and archived using common compression and encryption tools. This activity can indicate an attempt to collect sensitive data and stage it for exfiltration.

elastic-protections high eql

Data Encrypted and Archived

Identifies when data is encrypted and archived using common compression and encryption tools. This activity can indicate an attempt to collect sensitive data and stage it for exfiltration.

sentinel medium kql

Pathlock TDnR - Spool Job Changes

Detects changes to SAP spool jobs, forwarded by Pathlock Threat Detection and Response. Unauthorized spool job manipulations may indicate tampering with scheduled output, redirection of sensitive reports, or data collection activity involving SAP output management.

splunk unknown spl

Kubernetes Process with Resource Ratio Anomalies

The following analytic detects anomalous changes in resource utilization ratios for processes running on a Kubernetes node. It leverages process metrics collected via an OTEL collector and hostmetrics receiver, analyzed through Splunk Observability Cloud. The detection uses a lookup table containing average and standard deviation values for various resource ratios (e.g., CPU:memory, CPU:disk operations). Significant deviations from these baselines may indicate compromised processes, malicious ac

splunk unknown spl

Kubernetes newly seen TCP edge

The following analytic identifies newly seen TCP communication between source and destination workload pairs within a Kubernetes cluster. It leverages Network Performance Monitoring metrics collected via an OTEL collector and pulled from Splunk Observability Cloud. The detection compares network activity over the last hour with the past 30 days to spot new inter-workload communications. This is significant as new connections can indicate changes in application behavior or potential security thre

splunk unknown spl

Kubernetes newly seen UDP edge

The following analytic detects UDP communication between a newly seen source and destination workload pair within a Kubernetes cluster. It leverages Network Performance Monitoring metrics collected via an OTEL collector and pulled from Splunk Observability Cloud. This detection compares network activity over the last hour with the past 30 days to identify new inter-workload communication. Such changes in network behavior can indicate potential security threats or anomalies. If confirmed maliciou

elastic low kql

AWS S3 Bucket Enumeration or Brute Force

Identifies a high number of failed S3 operations against a single bucket from a single source address within a short timeframe. This activity can indicate attempts to collect bucket objects or cause an increase in billing to an account via internal "AccessDenied" errors.

splunk unknown spl

Kubernetes Previously Unseen Process

The following analytic detects previously unseen processes within the Kubernetes environment on master or worker nodes. It leverages process metrics collected via an OTEL collector and hostmetrics receiver, and data is pulled from Splunk Observability Cloud. This detection compares processes observed in the last hour against those seen in the previous 30 days. Identifying new processes is crucial as they may indicate unauthorized activity or attempts to compromise the node. If confirmed maliciou

elastic low kql

M365 Purview DLP Signal

Identifies Microsoft 365 Data Loss Prevention (DLP) and Data Lifecycle Management (DLM) signals from Microsoft Purview across Exchange, SharePoint, OneDrive, and endpoint devices. These events indicate potential data exfiltration attempts, policy violations involving sensitive data, or unauthorized sharing of classified information. This building block rule generates security events for correlation, threat hunting, and telemetry collection to support detection of collection and exfiltration acti