Skill UI

This guide provides comprehensive steps to harden the Docker daemon configuration. It covers essential security controls like user namespace remapping, disabling inter-container communication (ICC), implementing TLS authentication, and adopting rootless mode. Implementing these measures significantly reduces the attack surface and mitigates risks associated with container breakouts and privilege escalation, aligning with CIS benchmarks.

This skill automates the hardening of Linux endpoints (Ubuntu, RHEL, CentOS) by implementing industry-standard security best practices guided by CIS Benchmarks. It systematically secures various layers, including filesystem permissions, network parameters (sysctl), SSH configuration, user access controls (PAM), and integrates deep auditing using auditd and OpenSCAP. It is essential for achieving compliance with standards like PCI DSS, HIPAA, and SOC 2.

This skill guides the security hardening of Windows endpoints (10/11, Server 2019/2022) using established CIS Benchmarks. It provides a comprehensive workflow for establishing secure organizational baselines, configuring Group Policy Objects (GPOs), and enforcing security controls across critical areas like password policies, audit logs, and firewall rules. It is essential for achieving compliance with standards like PCI DSS, HIPAA, and SOC 2.

A proactive, hypothesis-driven skill designed to hunt for Advanced Persistent Threats (APT) within complex enterprise environments. It analyzes endpoint telemetry, network logs, and memory artifacts using frameworks like MITRE ATT&CK. Use this skill when investigating anomalous behavior flagged by UEBA, conducting scheduled threat sprints, or validating exposure to known TTPs using tools like Velociraptor and osquery.

This skill guides threat hunters in detecting Cobalt Strike Command and Control (C2) beacons. It utilizes advanced network forensic techniques, including analyzing default TLS certificate serials, JA3/JA3S/JARM fingerprints, beacon jitter, and HTTP profile matching. Detection is achieved by correlating data from Zeek logs, Suricata rules, and Python PCAP analysis to identify suspicious outbound communications.

Provides a structured methodology for proactive threat hunting against Living-off-the-Land Binaries (LOLBins). It guides practitioners in identifying techniques where adversaries abuse legitimate system tools (like certutil, mshta, rundll32) to execute payloads while bypassing traditional security controls (AV/EDR). Ideal for incident response, red team validation, and improving detection coverage against fileless attacks.

This guide provides a structured methodology for proactively hunting adversaries who establish persistence using Windows Scheduled Tasks (T1053). It outlines the necessary prerequisites (EDR, SIEM, Sysmon) and a comprehensive workflow—from hypothesis formulation to threat correlation—for detecting suspicious task creation, unusual scheduling patterns, and attacker TTPs during incident response or red teaming.

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.

A proactive methodology for detecting signs of compromise by analyzing outbound network traffic. This technique focuses on identifying anomalous patterns, such as connections to rare destinations, non-standard ports (T1571), or unusual connection frequencies, which often indicate Command and Control (C2) activity or data exfiltration.

This skill provides a comprehensive guide to implementing application whitelisting using Windows AppLocker. It drastically restricts unauthorized software execution (malware, shadow IT) on Windows endpoints by enforcing strict application control policies. Use this method to meet critical compliance requirements (such as PCI DSS or NIST standards), block common attack vectors like LOLBins, and significantly reduce the overall attack surface in high-security environments.

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.

This skill provides a comprehensive guide to deploying AWS Security Hub for centralized Cloud Security Posture Management (CSPM). It covers aggregating security findings from multiple sources (GuardDuty, Inspector, Macie, and third-party tools), enabling compliance checks against standards like CIS and PCI-DSS, and automating remediation workflows across multi-account AWS organizations. Ideal for security teams needing continuous compliance monitoring and robust governance.