Skill UI

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.

This skill provides methods and tools for detecting sophisticated cyber attacks targeting Supervisory Control and Data Acquisition (SCADA) and Industrial Control Systems (ICS). It focuses on detecting anomalies like unauthorized command injection, Man-in-the-Middle attacks on industrial protocols (Modbus, DNP3), and data manipulation, which traditional IT security tools often miss. Usage involves establishing deterministic communication baselines and monitoring network traffic for deviations.

This skill provides methods for detecting covert data exfiltration channels using DNS tunneling. It analyzes DNS query patterns, including subdomain entropy, query volume anomalies, oversized TXT/CNAME records, and unusual query types, to identify potential data leakage attempts from compromised networks. Ideal for threat hunting and building advanced passive DNS monitoring capabilities.

This skill provides structured procedures and Python examples for detecting internal data exfiltration. It analyzes endpoint, cloud, and email logs by establishing behavioral baselines and performing statistical anomaly detection. Use cases include investigating insider threats, monitoring DLP policy violations, and building robust User and Entity Behavior Analytics (UEBA) rules for SOC teams.

This guide details how to hunt for adversary lateral movement (MITRE ATT&CK TA0008) using Splunk's advanced SPL querying capabilities. It focuses on analyzing Windows authentication logs (e.g., Type 3/10 logons), correlating event IDs (4624, 4648) with process creation data (Sysmon), and identifying unusual source-destination relationships across the network to scope the breadth of a compromise.

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.

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.

Detects data-staging activity (MITRE ATT&CK T1074) by analyzing EDR/Sysmon process-creation and file-system telemetry. This skill monitors for archive creation (7-Zip, RAR, tar), unusual file consolidation from multiple directories, and suspicious activity in temporary or hidden paths. It is essential for threat hunting, building robust detection rules, and validating security monitoring coverage against data exfiltration attempts.

This skill detects persistence mechanisms by monitoring Windows startup directories for suspicious file creation (T1547.001). It utilizes real-time file system monitoring via Python watchdog, cross-references Autoruns entries, and analyzes file metadata to identify implants that survive system reboots. Essential for threat hunting and validating security monitoring coverage.

This comprehensive skill guides the setup and deployment of File Integrity Monitoring (FIM) using AIDE on Linux systems. It covers generating the initial baseline database, configuring monitoring rules, running scheduled checks via cron, and parsing change reports to detect unauthorized file modifications. Essential for meeting strict compliance requirements and enhancing endpoint security.

This guide details the implementation of comprehensive security monitoring using Datadog Cloud SIEM, Cloud Security Management (CSM), and Workload Protection. It covers deploying the Datadog Agent across hybrid cloud infrastructure (AWS, Azure, GCP), ingesting critical log sources (CloudTrail, VPC Flow Logs, etc.), configuring Workload Protection, and creating custom detection rules to detect threats, enforce compliance, and provide centralized SOC visibility.