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This comprehensive skill guide details the implementation of robust and secure API authentication systems. It covers industry standards like JWT, OAuth 2.0 (including various flows), and API key management. Key features include role-based access control (RBAC), refresh token rotation, session management, and brute-force protection, ensuring secure communication for diverse service architectures.

Walks through broken authentication assessments by analyzing login flows, password policies, brute-force/credential-stuffing, and session/token security to document vulnerabilities and mitigation steps for web applications.

This skill provides a comprehensive framework for implementing robust API rate limiting. It supports advanced algorithms like sliding windows, token buckets, and fixed counters, backed by Redis for distributed state. Use it to protect endpoints from excessive requests, enforce tiered quotas (Free, Pro, Enterprise), and prevent abuse like brute-force attacks by setting per-user, per-endpoint, or per-API-key limits.

This tool provides a comprehensive framework for analyzing web server logs (Apache/Nginx) to detect various security threats. It uses advanced regex matching against OWASP attack signatures to identify SQL injection, Local File Inclusion, and Directory Traversal attempts, alongside behavioral analysis for brute-force attacks and web scanner fingerprints. The system also enriches data using GeoIP for source attribution, generating a prioritized report for SOC analysts.

A comprehensive toolkit using Splunk's SPL language to analyze Windows Security, System, and Sysmon event logs. It maps advanced detection queries to specific MITRE ATT&CK techniques, enabling SOC analysts to investigate authentication attacks (e.g., brute force, password spraying), detect privilege escalation, locate persistence mechanisms, and trace lateral movement for detailed forensic timeline analysis.

This guide details how to write advanced correlation searches using Splunk's Search Processing Language (SPL). It covers techniques like threshold-based detection, sequence analysis, and anomaly detection to identify sophisticated security threats (e.g., brute force, data exfiltration, lateral movement) in a Security Operations Center (SOC) environment. Mastery of SPL is essential for closing SIEM detection gaps and ensuring compliance.

Utilizes User and Entity Behavior Analytics (UEBA), statistical baselines, and machine learning models to monitor authentication logs. This skill identifies sophisticated security threats such as impossible travel, credential stuffing, brute force attacks, and compromised accounts in real-time. Essential for security operations and identity access management.

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 comprehensive guide configures Fail2ban to implement a robust, layered defense mechanism for network security. It sets up custom filters and actions to automatically detect and mitigate threats such as port scanning, SSH brute force attempts, and network reconnaissance. By dynamically banning malicious IP addresses and providing security alerts, this skill significantly enhances the host-based intrusion prevention capabilities of your system.

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 guide details the implementation of robust API abuse detection mechanisms. It covers advanced rate limiting techniques, such as the Token Bucket and Sliding Window algorithms, to defend APIs against DDoS attacks, brute force attempts, and credential stuffing. It emphasizes using distributed stores like Redis for accurate, scalable, and adaptive security controls in an API gateway context.

This skill covers implementing robust API rate limiting and throttling controls using advanced algorithms like token bucket and sliding window. It teaches how to protect backend systems against attacks such as brute force, credential stuffing, and resource exhaustion. Key components include configuring limits per user, per IP, and per endpoint, utilizing Redis for distributed counting, and implementing proper HTTP 429 responses for effective abuse prevention.