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This skill analyzes proxy access logs, DNS query logs, and network flow data to identify unauthorized SaaS and cloud services (Shadow IT). It uses Python and pandas to aggregate traffic, classify domains against known SaaS categories, and calculate risk scores based on data volume and user count. Ideal for conducting thorough security audits and generating actionable remediation reports.

This guide details the exploitation of the Active Directory Certificate Services (AD CS) ESC1 vulnerability. By leveraging misconfigurations, an attacker can request certificates impersonating high-privileged users (e.g., Domain Admins). The workflow covers AD enumeration, forging certificates with arbitrary Subject Alternative Names (SANs), authenticating via PKINIT, and ultimately escalating domain privileges using tools like mimikatz. Essential for authorized red team and penetration testing.

A specialized security testing skill designed to identify excessive data exposure in REST or GraphQL APIs, adhering to OWASP API3:2023 guidelines. It works by intercepting raw API responses and systematically comparing the returned data against what the frontend UI actually displays. This helps auditors detect leaked PII, internal identifiers, debug fields, or other sensitive business data that should have been filtered out by the endpoint response. Use cases include auditing microservice boundaries, assessing mobile API responses designed for multiple clients, and verifying proper respons...

Kerberoasting is a credential access attack (T1558.003) targeting Active Directory service accounts with Service Principal Names (SPNs). This skill demonstrates using Impacket to request Kerberos TGS tickets for these accounts. The resulting RC4 or AES-encrypted tickets are then cracked offline using tools like Hashcat or John the Ripper, allowing attackers to recover service account credentials for lateral movement during authorized penetration testing or red-team engagements.

A specialized technique for proactive threat hunting, designed to detect adversary activity that abuses legitimate cloud services (like Azure, AWS, GCP, and SaaS platforms). It focuses on identifying 'living off the cloud' tradecraft, such as using cloud APIs for command-and-control (C2), staging data, or exfiltrating information while blending into normal network traffic.

This comprehensive guide outlines a structured methodology for threat hunting and incident response, focusing on identifying adversary persistence mechanisms across Windows endpoints. It covers critical areas such as Registry Run/RunOnce keys, services, scheduled tasks, WMI event subscriptions, and COM hijacking. Use this workflow to proactively detect unauthorized backdoors, strengthen detection rules, and assess overall security posture against MITRE ATT&CK techniques (T1547).

This skill performs threat hunting for persistence mechanisms by parsing Windows System event logs (Event ID 7045). It specifically detects suspicious service installations, analyzing service binary paths, and correlating these events with advanced telemetry (Sysmon/EDR) to identify indicators of compromise (MITRE ATT&CK T1543.003). Ideal for incident response and security validation.

A comprehensive guide for implementing centralized security controls on API gateways (e.g., Kong, AWS API Gateway, Azure APIM). It covers critical defense layers including JWT-based authentication enforcement, advanced rate limiting and throttling, request validation against schemas, TLS termination, and Web Application Firewall (WAF) integration. Use this when establishing a robust, layer-7 security posture for microservice APIs.

This guide details how to implement AWS Config managed and custom rules to establish continuous compliance monitoring for AWS resources. It helps detect configuration drift against standards like CIS and PCI DSS, enabling automated remediation using services like SSM Automation. It is ideal for building centralized compliance dashboards and aggregating audit evidence across multiple AWS accounts via AWS Organizations.

Explores how to implement AWS IAM Permission Boundaries to cap the maximum permissions granted to users or roles. This advanced security feature allows security teams to safely delegate IAM management to developers for self-service while strictly enforcing the principle of least privilege and preventing privilege escalation in cloud environments.

Amazon Macie is a fully managed AWS service utilizing advanced machine learning and pattern matching to discover, classify, and protect sensitive data (PII, financial records, credentials) stored in Amazon S3. It provides deep visibility into your cloud data, enabling comprehensive Data Loss Prevention (DLP) and compliance auditing by identifying specific sensitive data types through automated and targeted discovery jobs.

This comprehensive guide details how to establish AWS Security Hub as a centralized Cloud Security Posture Management (CSPM) platform. It aggregates security findings from multiple AWS services (GuardDuty, Inspector, Macie) and third-party tools. Users can enforce compliance against industry standards (CIS, PCI-DSS, NIST), automate remediation workflows via EventBridge, and generate comprehensive evidence for compliance audits.