Skill UI

Provides a catalog of Linux and Windows post-exploitation privilege escalation techniques, covering sudo/capability abuse, scheduled tasks, token impersonation, AD kerberoasting, credential harvesting, and tool recommendations for red teamers.

Systematic Windows privilege escalation guide covering enumeration, credential harvesting, service abuse, token impersonation, kernel exploits and configuration flaws to elevate from standard user to Administrator/SYSTEM during pentests.

This tool parses API Gateway access logs from various providers (AWS, Kong, Nginx). It performs statistical analysis using pandas to detect critical security threats such as Broken Object Level Authorization (BOLA/IDOR), credential stuffing, rate limit bypass attempts, and injection vulnerabilities. Ideal for SOC analysts or security engineers investigating API abuse and building advanced threat detection rules.

This guide provides advanced detection methods and threat hunting queries (KQL/SPL) to identify abuse of Azure service principals. It covers techniques such as privilege escalation, credential compromise, unauthorized role assignment, and enumeration, essential for SOC analysts and security teams monitoring Microsoft Entra ID.

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.

A comprehensive guide to deploying deception technologies, including honeypots, honeytokens, and decoy systems, within a Security Operations Center (SOC). This skill is used to detect advanced attackers who bypass perimeter defenses by monitoring lateral movement, credential abuse, and internal reconnaissance. It provides high-fidelity, near-zero false positive alerts and is essential for threat hunting and incident response strategy.

Comprehensive reference for red teamers and penetration testers on executing Active Directory attacks, covering reconnaissance, credential harvesting, Kerberos abuses, lateral movement, and domain persistence techniques against Windows domains.

Methodology for red team testing of on-prem Active Directory, hybrid AD/Entra ID, and ADCS. Covers reconnaissance, credential abuse, privilege escalation, lateral movement, persistence, trust abuse, and Defender for Identity evasion.

Offensive cloud security methodology for AWS, Azure, and GCP. Covers identity discovery, credential harvesting, enumeration, privilege escalation, persistence, data exfiltration, lateral movement, serverless abuse, Kubernetes paths, and detection evasion during authorized assessments.

A comprehensive playbook detailing advanced techniques for exploiting misconfigured Active Directory Access Control Lists (ACLs). It covers BloodHound enumeration, abusing dangerous ACE types (GenericAll, WriteDACL), conducting DCSync attacks, leveraging shadow credentials, and exploiting GPO/LAPS weaknesses for privilege escalation and lateral movement in a deep dive for security professionals.

This comprehensive playbook details advanced techniques for exploiting Layer 2 and Layer 3 network protocols. It covers attacks such as ARP spoofing, LLMNR/mDNS poisoning, WPAD abuse, DHCPv6 takeover, VLAN hopping, and STP manipulation. Designed for penetration testers, it facilitates MitM positioning, credential harvesting (NTLM relay), and robust network environment exploitation.