wagov-squ 1.5.3

Python SIEM Query Utils with Ibis support

wagov-squ

Python SIEM Query Utils with Ibis support for scalable data processing.

Features

• Azure Sentinel Integration: Query Log Analytics workspaces with KQL
• Multiple Output Formats: Support for pandas DataFrame, CSV, JSON, list, and Ibis expressions
• Scalable Processing: Built on Ibis for efficient data transformations
• Modern Architecture: Built on uv for fast dependency management

Install

pip install wagov-squ

Development Setup

git clone https://github.com/wagov/nbdev-squ.git
cd nbdev-squ
uv sync --dev

Configuration

Azure Key Vault (Recommended)

Set the SQU_CONFIG environment variable to specify Azure Key Vault configuration:

import os
os.environ["SQU_CONFIG"] = "keyvault_name/tenant_id"

Environment Variables (Alternative)

You can also configure services directly with environment variables:

export SQU_JIRA_URL="https://yourorg.atlassian.net"
export SQU_JIRA_USERNAME="[e-mail]" 
export SQU_JIRA_PASSWORD="your-api-token"
export SQU_RUNZERO_APITOKEN="your-runzero-token"
export SQU_ABUSEIPDB_API_KEY="your-abuseipdb-key"
export SQU_TENABLE_ACCESS_KEY="your-tenable-key"
export SQU_TENABLE_SECRET_KEY="your-tenable-secret"

Quick Start

Basic Usage

from wagov_squ import list_workspaces, query_all, Fmt

# List Azure Sentinel workspaces (returns pandas DataFrame by default)
workspaces = list_workspaces()
print(workspaces)

# Get data in different formats
csv_data = list_workspaces(fmt=Fmt.csv)
json_data = list_workspaces(fmt=Fmt.json) 
list_data = list_workspaces(fmt=Fmt.list)

# Execute KQL queries
results = query_all("SecurityEvent | take 10")

Ibis Support

from wagov_squ import list_workspaces, Fmt

# Get data as Ibis expression for advanced processing
ibis_expr = list_workspaces(fmt=Fmt.ibis)

# Use Ibis for complex transformations
filtered = ibis_expr.filter(ibis_expr.alias == "MyAgency")
result = filtered.to_pandas()  # Convert back to pandas when needed

API Reference

Core Functions

• list_workspaces(fmt="df", agency="ALL") - List Azure Sentinel workspaces
• list_securityinsights(fmt="df") - List Security Insights resources
• query_all(query, fmt="df", timespan=14d) - Execute KQL queries across workspaces
• clients.jira - Access Jira API client

Output Formats

• Fmt.pandas or "df" - pandas DataFrame (default)
• Fmt.csv or "csv" - CSV string
• Fmt.json or "json" - List of dictionaries
• Fmt.list or "list" - List of lists
• Fmt.ibis or "ibis" - Ibis expression for advanced processing

Integration with dbt & SQLMesh

dbt Integration

wagov-squ includes a built-in dbt-duckdb plugin for seamless integration. Configure your dbt profiles.yml:

your_project:
  target: dev
  outputs:
    dev:
      type: duckdb
      path: 'dbt.duckdb'
      plugins:
        - module: 'wagov_squ.api'
          alias: 'squ'

Then use in your dbt models:

-- models/security/persistence_hunting.sql
{{ config(materialized='view') }}

SELECT * FROM (
  SELECT * FROM squ(kql_path='queries/persistence_detection.kql', timespan='14d')
)

Create queries/persistence_detection.kql:

DeviceProcessEvents
| where ActionType == "ProcessCreated" 
| where ProcessCommandLine has_all (dynamic(['reg',' ADD', @'Software\Microsoft\Windows\CurrentVersion\Run']))
| where InitiatingProcessFileName !in (dynamic(['Discord.exe','Skype.exe']))
| project Timestamp, DeviceName, ProcessCommandLine, InitiatingProcessFileName

Or query workspaces directly:

SELECT * FROM squ(list_workspaces=true)

SQLMesh Integration

# models/security_events.py
from sqlmesh import model
from wagov_squ import query_all, Fmt

@model(
    "security.persistence_events",
    kind="view",
    cron="@daily"
)
def persistence_events(context):
    kql_query = """
    DeviceProcessEvents
    | where ActionType == "ProcessCreated"
    | where ProcessCommandLine contains "reg add"
    | project Timestamp, DeviceName, ProcessCommandLine
    """
    
    # Get data as Ibis expression for further processing
    data = query_all(kql_query, fmt=Fmt.ibis)
    return data.filter(data.Timestamp >= context.start_date)

Security Considerations

Configuration secrets are cached securely in the user_cache_dir with restricted permissions. Ensure:

• System runs on encrypted disk
• User cache directory access is restricted
• No external logging of cache directory
• Use isolated VMs/workstations for sensitive activities

Development

Commands

just install          # Install development dependencies
just test             # Run all tests  
just test-fast        # Run unit tests only
just test-integration # Run integration tests (requires SQU_CONFIG)
just lint             # Format and lint code
just build            # Build package
just complexity       # Analyze code complexity

Testing

Integration tests require Azure authentication via SQU_CONFIG:

export SQU_CONFIG="keyvault_name/tenant_id"  
just test-integration

License

Apache-2.0