Skill UI

A comprehensive, multi-stage framework for responding to confirmed or suspected malware infections across an enterprise. This guide covers the entire incident lifecycle: detection, scoping, containment, deep analysis (mapping to MITRE ATT&CK), thorough eradication, and system recovery, ensuring all steps are documented for resilience and compliance.

This skill guides the setup of Host-Based Intrusion Detection Systems (HIDS) using industry-standard tools like Wazuh, OSSEC, or AIDE. It covers essential security practices, including File Integrity Monitoring (FIM) for critical directories, monitoring system calls, detecting configuration changes, and identifying rootkits. It is crucial for meeting regulatory compliance requirements (e.g., PCI DSS) and significantly enhancing overall endpoint security posture.

This skill guides SOC analysts and detection engineers on how to correlate complex, multi-stage attacks within the IBM QRadar SIEM platform. It covers advanced usage of AQL (Ariel Query Language) for deep event investigation, building custom correlation rules (Building Blocks and Offenses), and cross-source data correlation (e.g., auth failures with network flows). It is essential for reducing false positives and improving threat detection accuracy.

This skill correlates disparate security incidents, Indicators of Compromise (IOCs), and adversary behaviors across time and organizations. It systematically identifies unified threat campaigns, attributes them to common threat actors, and extracts shared indicators for significantly improved detection capabilities. Ideal for cross-organizational threat intelligence sharing and building comprehensive campaign reports.

This tool deploys decoy canary files in critical system directories to provide early warning against ransomware attacks. Utilizing Python's watchdog library, it monitors for any read, modify, rename, or delete operations on these decoy files. Detection triggers immediate alerts via multiple channels (Email, Slack, Syslog), helping security teams identify and respond to malicious activity before full data encryption occurs. It serves as a crucial detection layer in a layered security defense.

A comprehensive guide providing detailed KQL and SPL detection queries for identifying potential abuse of Azure service principals within Microsoft Entra ID. This tool helps SOC analysts and security teams investigate complex threats like unauthorized credential addition, privileged role assignment, admin consent bypass, and enumeration, crucial for proactive threat hunting and incident response.

This skill provides comprehensive guidelines for detecting Business Email Compromise (BEC), a sophisticated fraud scheme. It covers detection techniques using email gateway rules, behavioral analytics, and robust financial process controls. Learn to identify red flags like unusual payment requests, domain mismatches, and patterns of social engineering to protect against financial loss.

This system deploys advanced AI, NLP, and behavioral analytics to detect sophisticated Business Email Compromise (BEC) attacks. Unlike traditional filters that rely on malicious links, this solution analyzes writing style, tone, grammatical patterns, and contextual anomalies to identify pure social engineering impersonation, providing a robust defense layer against advanced phishing and fraud.

Detect unauthorized crypto-mining in AWS, Azure, and GCP by correlating GuardDuty/Defender/SCC findings, compute anomalies, network flows, and container/serverless behaviors to validate threats and guide response.

This skill provides methods and rules for detecting advanced container escape attempts, where an adversary attempts to break out of container isolation. Detection relies on monitoring critical system activities such as namespace manipulation, capability abuse (e.g., CAP_SYS_ADMIN), kernel exploits, and access to sensitive host paths. Tools like Falco, Sysdig, and eBPF are leveraged to monitor syscalls and process behavior in real-time, crucial for security incident response and threat hunting in containerized environments like Kubernetes or Docker.

A comprehensive guide for security teams on detecting and responding to unauthorized crypto mining operations in cloud environments (AWS, Azure). It details a multi-layered approach, utilizing cost anomaly detection, compute utilization monitoring, GuardDuty findings, and network flow log analysis (VPC/KQL) to identify resource hijacking attempts and suspicious activity across EC2, ECS, and EKS workloads.

This guide details comprehensive detection methods for DCSync attacks (MITRE T1003.006) in Active Directory. Attackers abuse legitimate directory replication protocols to extract sensitive password hashes. Detection relies on auditing Windows Event ID 4662 for unauthorized access attempts to critical Directory Service GUIDs, specifically flagging non-domain-controller accounts attempting replication calls. Essential for threat hunting and incident response.