Skill UI

This skill analyzes AWS IAM policies using boto3 and Cloudsplaining principles to detect potential privilege escalation paths in AWS accounts. It identifies overly permissive policies, dangerous permission combinations (such as combining role passing and resource creation), and violations of least-privilege principles. It is designed for security incident investigation, threat hunting, and validating overall cloud security posture.

This skill uses the Python azure-mgmt-storage SDK to perform comprehensive security audits on Azure Blob and ADLS storage accounts. It detects critical misconfigurations, including public access exposure, weak or long-lived SAS tokens, lack of encryption at rest, failure to enforce HTTPS, and outdated TLS versions. The output is a detailed, risk-scored report with remediation recommendations, essential for SOC analysts and security posture management.

A specialized Intrusion Detection System (IDS) designed for Operational Technology (OT) and Industrial Control Systems (ICS). It monitors Modbus TCP/RTU traffic to detect unauthorized write operations, anomalous function codes, malformed frames, and deviations from established communication baselines. Essential for securing SCADA environments against attacks like FrostyGoop.

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.

A comprehensive guide and workflow for the post-containment phase of incident response. This process details systematic methods for mapping all persistence mechanisms, identifying malware artifacts, removing threats, resetting compromised credentials, and patching initial access vulnerabilities to ensure complete system eradication.

A comprehensive framework for penetration testing APIs, designed to detect and exploit critical injection flaws. It covers SQL injection (SQLi), NoSQL injection, OS command injection, LDAP injection, and Server-Side Request Forgery (SSRF). This skill guides the testing of all input vectors—including path parameters, headers, query strings, and request bodies—to assess input validation and backend security posture against industry standards like OWASP.

A detailed guide on discovering and exploiting Mass Assignment vulnerabilities in REST APIs. Users learn to inject unexpected parameters into API requests (POST, PUT, PATCH) to bypass authorization controls, escalate privileges (e.g., changing 'role'), and modify sensitive fields (e.g., 'balance', 'isAdmin') during security assessments and bug bounty hunting.

A comprehensive guide detailing best practices for hardening Docker containers, aligning with CIS Docker Benchmark v1.8.0. It covers host configuration, minimizing attack surface, implementing least privilege, and enhancing runtime security using techniques like read-only filesystems, Seccomp, and AppArmor. Use this when deploying secure, production-grade containerized applications.

This skill detects domain fronting, an advanced technique used by attackers to mask Command and Control (C2) traffic. It analyzes proxy/web gateway logs for mismatches between the TLS SNI field and the HTTP Host header, combined with deep TLS certificate inspection using pyOpenSSL. This is crucial for security teams investigating sophisticated network threats and validating detection coverage.

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.

API Security Posture Management (API-SPM) provides continuous, unified visibility into an organization's entire API attack surface. It automatically discovers, classifies, and risk-scores all APIs—including internal, external, and shadow endpoints. By aggregating findings from various sources (DAST, SAST, runtime logs), it helps enforce security policies, detect configuration drift, and maintain compliance across the entire API lifecycle.

Amazon Macie is a fully managed data security service that automatically discovers, classifies, and protects sensitive data (PII, financial records, credentials) stored in Amazon S3. It uses advanced machine learning and pattern matching to identify compliance risks and enforce data governance policies. Ideal for organizations needing automated data discovery for regulatory compliance and improving overall cloud security posture.