Skill UI

Tetragon, a CNCF project under Cilium, provides advanced, kernel-level runtime security observability and policy enforcement in Kubernetes clusters. By utilizing eBPF, it monitors process execution, file access, and network connections with minimal overhead, enabling detection and prevention of container escapes, unauthorized access, and suspicious activity.

This guide details how to implement advanced SIEM correlation rules to detect sophisticated Advanced Persistent Threats (APTs). By chaining multiple event types—including Windows authentication events, process execution telemetry, and network connection logs—across hosts, users can surface complex attack sequences that are invisible to single-event detections. It utilizes Splunk SPL and Sigma rule formats for robust security posture enhancement.

This guide details how to implement NextDNS as a zero-trust DNS filtering layer. By utilizing encrypted resolution (DoH/DoT) and real-time threat intelligence, it blocks malicious domains, prevents data exfiltration, filters ads/trackers, and enforces granular security policies across all endpoints, aligning with Zero Trust principles and enhancing overall network security.

This comprehensive guide details the implementation of Zero Trust Architecture (ZTA) in multi-cloud environments (AWS, Azure, GCP). Following NIST SP 800-207 and BeyondCorp principles, it covers identity-centric access controls, micro-segmentation, continuous verification, and deploying Identity-Aware Proxies (IAP) to eliminate implicit network trust.

This skill guides the deployment of Google BeyondCorp Enterprise, enabling a true zero-trust security model. It utilizes Identity-Aware Proxy (IAP) and Access Context Manager (ACM) to authorize every request based on deep context, including user identity, device posture, and network attributes. It is essential for organizations moving away from traditional VPNs and needing robust, context-aware security controls for protecting GCP resources and internal applications.

This skill covers performing comprehensive vulnerability assessments across diverse environments, including on-premises infrastructure, cloud VMs, and container registries. It leverages standard network protocols like SSH (Linux) and WMI (Windows), coupled with advanced cloud provider APIs for analyzing disk snapshots without requiring local endpoint agents. Ideal for security auditing and compliance checks.

This guide details how to simulate ARP spoofing attacks in controlled, authorized lab environments. It demonstrates Man-in-the-Middle (MITM) risks by poisoning the ARP cache, allowing users to test network detection capabilities (IDS/IPS, DAI) and validate the effectiveness of security controls like port security and 802.1X. This skill is strictly for authorized penetration testing and educational purposes.

This guide details authenticated (credentialed) vulnerability scanning, which uses valid system credentials (SSH keys, domain passwords, etc.) to log into target hosts. Unlike external scanning, credentialed methods allow deep inspection of installed patches, local configurations, registry keys, and system files across diverse platforms (Linux, Windows, Network Devices). This significantly increases vulnerability detection rates and reduces false positives for comprehensive security assessments.

CAPE is an open-source sandbox built for automated malware analysis, derived from Cuckoo. It provides advanced behavioral monitoring, payload dumping, and configuration extraction using over 70 parsers for known malware families (e.g., Emotet, Cobalt Strike). It captures network IOCs, dropped files, and detects anti-evasion techniques, making it ideal for security assessments and incident response workflows via its robust API.

This skill simulates various network attack scenarios, including bandwidth throttling, traffic shaping, and network degradation, using tools like tc, iperf3, and Scapy. It is designed for authorized security assessments to test the resilience of applications, validate Quality-of-Service (QoS) policies, and assess the ability of network monitoring tools to detect sophisticated traffic manipulation attacks (e.g., Slowloris-style attacks).

This comprehensive guide details the methodology for detecting and exploiting Blind Server-Side Request Forgery (SSRF) vulnerabilities. It covers crucial techniques including out-of-band (OOB) detection, internal network enumeration (port scanning, IP scanning), accessing cloud metadata endpoints (AWS, GCP, Azure), and bypassing common security filters using various encoding and parsing confusion methods. Ideal for penetration testing and cloud security assessments.

Cartography is a CNCF project designed to perform comprehensive cloud asset inventory across AWS, GCP, and Azure. It queries cloud APIs to aggregate infrastructure resources, map complex relationships (like IAM permissions and network paths), and store them in a Neo4j graph database. This allows security teams to visualize potential attack paths, conduct deep security audits, and identify cross-cloud misconfigurations.