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This guide details methods and rules for detecting container escape attempts, a critical security vulnerability where an adversary breaks out of container isolation to access the host system or other containers. It covers monitoring syscalls, namespace manipulation (e.g., nsenter, unshare), accessing sensitive host paths (/proc), and detecting privileged operations using tools like Falco and eBPF.

This skill provides advanced runtime security rules using Falco, a CNCF-graduated tool. It monitors Linux syscalls to detect container escape attempts in real-time, identifying techniques such as mounting host filesystems, unauthorized namespace access (nsenter), and privileged container launches. It is crucial for SOC analysts and security teams enhancing cloud-native security coverage.

This guide outlines a comprehensive threat hunting methodology for detecting Kerberoasting attacks. It focuses on monitoring for anomalous Kerberos TGS requests targeting service accounts with SPNs, which are indicators of brute-force or offline password cracking attempts. Use this workflow during proactive security assessments, incident response, or when analyzing SIEM/EDR telemetry to identify potential lateral movement.

This skill provides comprehensive anomaly detection for Modbus/TCP and Modbus RTU traffic in Operational Technology (OT) and Industrial Control Systems (ICS). It monitors function codes, validates register access, analyzes timing, and detects unauthorized clients. By utilizing advanced tools like Zeek, Suricata, and custom Python models, it helps establish behavioral baselines and identify potential cyber threats.

This skill provides a comprehensive guide to deploying Zeek (formerly Bro) for passive network security monitoring. It details how to generate structured logs (DNS, HTTP, SSL, etc.) and write custom Zeek scripts to detect sophisticated anomalies like DNS tunneling and beaconing. Ideal for threat hunting, security incident response, and complementing traditional IDS solutions.

A comprehensive skill for detecting early-stage ransomware indicators before data encryption occurs. It utilizes advanced network detection tools such as Zeek and Suricata, combined with SIEM correlation rules and threat intelligence feeds. This method monitors the entire pre-encryption kill chain, identifying precursor behaviors like initial access broker activity, Cobalt Strike C2 beaconing, credential harvesting (e.g., Mimikatz signatures), and data staging attempts, enabling timely incident response and containment.

A comprehensive guide and workflow for detecting unauthorized data exfiltration from AWS S3 buckets. It details how to leverage multiple AWS services—including CloudTrail, GuardDuty, Amazon Macie, and Athena—to analyze access patterns, identify bulk downloads, and detect cross-account data transfers, ensuring robust cloud compliance and security monitoring.

This skill addresses advanced threat detection for critical infrastructure (OT/ICS). It monitors sophisticated, multi-stage cyber-physical attacks, focusing specifically on PLC logic integrity monitoring, detecting unauthorized modifications, and analyzing process anomalies. It covers the entire attack chain, from initial USB-borne access (IT) to process manipulation (OT).

A comprehensive guide and set of detection rules for identifying OS credential dumping techniques (MITRE T1003). It leverages EDR telemetry, Sysmon process access monitoring, and Windows security event correlation to detect attacks targeting LSASS memory, SAM databases, and NTDS.dit files. Essential for proactive threat hunting and incident response.

This tool simulates various BGP hijacking scenarios, including prefix hijacking and route leaks, within authorized, isolated lab environments. It is designed to assess the effectiveness of critical network defenses such as RPKI deployment, route origin validation, and BGP monitoring systems against unauthorized route announcements. It is a training and validation tool for network operations teams.

Detects persistence mechanisms (T1547.001) by monitoring critical Windows startup directories. This skill analyzes autoruns entries, monitors for real-time file system changes using Python watchdog, and examines file metadata (like creation timestamps and digital signatures) to identify suspicious implants and unauthorized execution points.

This skill details how to establish continuous compliance monitoring for AWS resources. It covers deploying managed and custom Config rules aligned with industry standards like CIS and PCI DSS. The workflow includes setting up recording, implementing automated remediation using SSM, and aggregating compliance data across multiple AWS accounts using AWS Organizations. Ideal for security auditing and guardrail deployment.