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This skill analyzes Windows Security Event Logs (EVTX) to detect RDP brute force attacks. It parses failed logon events (ID 4625) and correlates them with successful logons (ID 4624), performing source IP frequency analysis to identify attack patterns, username spraying, and potential account compromises. This is critical for SOC analysts and threat hunters investigating lateral movement or credential stuffing attempts.

This utility provides a comprehensive framework for proactive threat hunting, focusing on detecting advanced and suspicious PowerShell execution patterns. It covers common attacker techniques such as encoded command usage, download cradles (IEX), AMSI bypass attempts, and constrained language mode evasion. It is designed for security analysts during incident response and threat intelligence validation, requiring EDR and SIEM telemetry.

This skill provides structured methods for detecting credential stuffing attacks by analyzing authentication logs. It focuses on identifying complex patterns such as login velocity anomalies, high IP diversity, password spray techniques, and suspicious geographical distributions of failed logins. It is essential for SOC analysts conducting threat hunting or building robust detection rules against account takeover attempts.

This skill focuses on threat hunting techniques to detect adversaries leveraging Living Off the Land Binaries (LOLBins). By analyzing detailed endpoint process creation logs (e.g., Sysmon), practitioners can identify suspicious execution patterns of legitimate Windows system binaries (like certutil, mshta, rundll32) used for malicious fileless attacks or defense evasion. It is crucial for improving detection coverage against advanced persistent threats.

This skill provides advanced threat hunting capabilities to detect NTLM relay attacks within Active Directory environments. It analyzes critical Windows Security Event 4624 logs, specifically focusing on logon type 3 using NTLMSSP authentication. The detection logic identifies suspicious patterns, including IP-to-hostname mismatches, rapid multi-host authentications, and lack of SMB signing enforcement, helping SOC analysts pinpoint unauthorized credential access attempts.

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.

This guide details how to use Google Distroless images to drastically reduce the attack surface of containerized applications. By eliminating shells, package managers, and unnecessary OS utilities, these minimal base images enhance security, align with compliance standards, and improve supply chain security in Kubernetes and Docker deployments. It provides multi-stage build patterns for various languages (Go, Java, Python, Node.js).

This tool provides a comprehensive workflow for performing deep forensic investigations on AWS environments. By leveraging CloudTrail logs and programmatic access via boto3/Athena, users can reconstruct attacker activity, identify compromised credentials, analyze suspicious API call patterns, and generate detailed incident response reports.

This tool conducts comprehensive, sector-specific threat landscape assessments by analyzing designated threat actor patterns (e.g., APT groups, cybercriminals), common attack vectors, and industry-specific vulnerabilities. It is designed to provide actionable intelligence for risk management, security investment prioritization, and executive reporting across critical sectors like finance, healthcare, and energy.

A multi-layered defense system designed to detect sophisticated prompt injection attacks targeting LLM-powered applications. It combines regex pattern matching for known signatures, heuristic scoring for structural anomalies, and advanced DeBERTa-based classification. Ideal for building robust input validation layers, securing RAG pipelines, and performing proactive AI security scanning.

This guide details how to analyze comprehensive Zeek network logs (conn.log, smb_files.log, ntlm.log, dce_rpc.log, etc.) to detect advanced attacker techniques. It specifically targets indicators of compromise related to lateral movement, such as SMB admin share access, NTLM account spraying, and remote service execution (DCE/RPC patterns). It is a critical network forensics tool for post-incident investigation.

This tool monitors Modbus TCP communication within SCADA and ICS environments to detect security anomalies. It performs deep packet inspection, baselines normal communication patterns (e.g., typical function code distribution, register access), and applies statistical analysis to identify unauthorized register writes, reconnaissance attempts, or denial-of-service attacks targeting industrial control devices.