hunting-for-unusual-network-connections

Name: hunting-for-unusual-network-connections
Availability: InStock
Author: balsm-health

Analyze EDR, SIEM, and Sysmon logs for unusual network connections.

2|Updated Jun 5, 2026

Search Tags:#cybersecurity #network analysis #anomaly detection #security hunting #endpoint detection and response

Ready to run

npx skills add https://github.com/balsm-health/Balsm-AI --skill hunting-for-unusual-network-connections

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: hunting-for-unusual-network-connections
Source: https://github.com/balsm-health/Balsm-AI/tree/main/plugin/skills/hunting-for-unusual-network-connections
Command: npx skills add https://github.com/balsm-health/Balsm-AI --skill hunting-for-unusual-network-connections

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, requests, json, datetime, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Detects and investigates unusual network connections and behaviors, helping to proactively identify potential cybersecurity threats.

Core Features & Use Cases

Anomaly Detection: Monitors and identifies rare destinations, non-standard ports, and anomalous connection frequencies.
Data Sources Analysis: Utilizes EDR, SIEM, and Sysmon logs for data analysis.
Automated Analysis: Executes Python scripts to analyze logs and generate reports on unusual activities.
Use Case: Detects a backdoor communicating to a command and control server on a non-standard port.

Quick Start

Run the agent script to analyze endpoint and firewall logs for unusual network connections.

Frequently Asked Questions about hunting-for-unusual-network-connections

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I detect unusual network connections for cybersecurity threat hunting?▼

To detect unusual network connections for cybersecurity threat hunting, you analyze EDR, SIEM, and Sysmon logs to identify rare destinations, non-standard ports, and anomalous connection frequencies. This Skill automates that log analysis using Python scripts to flag potential threats.

Can I use Sysmon and EDR logs to find T1071 command and control traffic?▼

Yes, you can use Sysmon and EDR logs to find T1071 command and control traffic. The Skill analyzes these logs to detect backdoors communicating on non-standard ports, identifying anomalous behaviors associated with the T1071 indicator.

What is the best way to automate anomaly detection in network traffic logs?▼

The best way to automate anomaly detection in network traffic logs is by running Python scripts that process endpoint and firewall logs. This Skill uses pandas and numpy to evaluate connection frequencies and flag non-standard ports automatically.

Do I need a SIEM to analyze anomalous network connection frequencies?▼

You need a SIEM, EDR, or Sysmon endpoint security tools to provide the log data required for analysis. The Skill processes these logs to identify rare destinations and anomalous connection frequencies, making a SIEM essential for comprehensive detection.

Does this network anomaly detection work for proactive incident response?▼

Yes, this network anomaly detection works for proactive incident response and regular security assessments. It identifies unusual network connection patterns early, allowing security teams to investigate potential threats before they escalate.

Why does network anomaly hunting require Python libraries like pandas and numpy?▼

Network anomaly hunting requires Python libraries like pandas and numpy to process large volumes of log data and calculate connection frequencies. These dependencies enable the automated scripts to filter logs and identify rare or non-standard network behaviors efficiently.