Skill UI

This guide provides comprehensive steps to harden Docker containers and associated runtime environments based on the CIS Docker Benchmark v1.8.0. It covers implementing least-privilege principles, such as running as non-root users, dropping capabilities, using read-only filesystems, and applying seccomp/AppArmor profiles. Use this when preparing containers for production deployment or conducting security audits to minimize the attack surface.

This skill provides comprehensive methods to detect Cobalt Strike beacon command-and-control (C2) traffic. It uses advanced network forensics techniques, including analyzing default TLS certificates (e.g., serial 8BB00EE), JA3/JA3S fingerprints, HTTP malleable profiles, and beacon interval jitter, leveraging Zeek logs, Suricata rules, and Python PCAP analysis. It is essential for threat hunters and SOC analysts investigating sophisticated C2 communications.

This skill guides users through implementing and managing Kubernetes Pod Security Standards (PSS) using the Pod Security Admission (PSA) controller. Learn how to assign security profiles (Privileged, Baseline, Restricted) to namespaces, audit existing workloads for compliance, plan migrations from deprecated PSPs, and adjust securityContext settings to meet high hardening and compliance requirements.

This skill establishes normal network communication patterns by analyzing historical NetFlow/IPFIX data. Utilizing Python pandas, it computes hourly/daily volume distributions, per-host statistics, and top-talker profiles. Anomalies are detected using sophisticated statistical methods like z-score and IQR, allowing SOC analysts to quickly identify deviations such as data exfiltration spikes, persistent beaconing, or unusual port usage.

This skill guides the process of designing, implementing, and validating advanced security detection use cases for Security Information and Event Management (SIEM) platforms like Splunk, Elastic, and Microsoft Sentinel. It focuses on mapping organizational threat profiles to the MITRE ATT&CK framework to build formal, high-fidelity detection rules, thereby strengthening Security Operations Center (SOC) coverage and reducing blind spots.

Drafts a LaTeX research paper section by section from an outline plan. Automatically applies venue-specific formats (ICLR, NeurIPS, CVPR, ACL, AAAI, ACM, IEEE), fetches real BibTeX records from DBLP/CrossRef to avoid hallucinated citations, enforces page-limit and anonymity conventions, and optionally profiles a reference paper for structural style. Use when moving from a paper plan to a complete LaTeX draft.

This skill implements a comprehensive brand monitoring system to detect brand impersonation attacks across multiple digital attack surfaces, including domain squatting, social media profiles, phishing sites, mobile apps, and the dark web. It uses tools like dnstwist and integrates APIs (Google Safe Browsing, VirusTotal) to proactively identify unauthorized brand usage and potential cyber threats targeting an organization.

This guide details how to use GoPhish, an open-source framework, to conduct authorized phishing simulations. You will learn the complete lifecycle, from deploying the tool and configuring SMTP profiles, to creating realistic email templates and cloning secure landing pages. The skill culminates in analyzing campaign results to assess organizational security posture and improve employee resilience against social engineering attacks.

This skill provides a comprehensive automation solution for conducting red team phishing simulations using the Python gophish library. It streamlines the entire campaign lifecycle, including creating sophisticated email templates with tracking pixels, configuring SMTP profiles, importing user groups from CSV, launching targeted attacks, and generating detailed reports on open rates, click-through rates, and credential submission statistics for robust security awareness assessments.

A comprehensive guide detailing how to detect and exploit second-order SQL injection vulnerabilities. This technique targets scenarios where malicious input is stored in a database (e.g., user profiles, comments) and subsequently executed in an unsafe SQL query during a completely different application operation, bypassing initial sanitation checks.

Develops comprehensive profiles for Advanced Persistent Threat (APT) groups, criminal organizations, and hacktivist collectivities. This tool aggregates TTP documentation, campaign data, and attribution indicators from major intelligence sources (MITRE ATT&CK, Mandiant, CrowdStrike) to help organizations update threat models, prioritize defensive controls, and prepare executive briefings on sector-specific risks.

This script automates the testing of API endpoints for mass assignment (over-posting) vulnerabilities, adhering to OWASP API3:2023 guidelines. It systematically injects undocumented, privileged fields (like 'role', 'isAdmin', 'balance', 'price') into request bodies of typical endpoints (e.g., profile updates, order creation). It checks if the server binds these unexpected fields to the data model without proper filtering, potentially allowing unauthorized privilege escalation or data manipulation.