Skill UI

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.

A comprehensive guide to executing cloud-native incident containment procedures across major platforms including AWS, Azure, and GCP. Learn how to systematically isolate compromised resources, revoke malicious credentials, apply network restrictions (Security Groups/ACLs), and capture forensic evidence to prevent lateral movement during a security event. Essential for security assessments and incident response.

This skill guides users on performing deep runtime threat detection and forensics in cloud-native environments using Falco. It leverages Falco YAML rules to monitor syscalls, detecting critical security events such as shell spawning, file tampering (e.g., /etc/shadow), network anomalies, and privilege escalation within containers and Kubernetes clusters. Ideal for incident response, security auditing, and validating container runtime security controls.

This skill enables sophisticated runtime dynamic analysis of Android applications using industry-standard tools like Frida and Objection. It is used to observe application behavior, intercept API calls, monitor network traffic, and bypass client-side security protections (e.g., root detection, anti-debugging). Essential for identifying vulnerabilities and analyzing obfuscated code that static analysis cannot reach.

Perform interactive malware analysis in the ANY.RUN cloud sandbox to trigger real-time behavior, inspect process trees, monitor network traffic, and capture system changes without local sandbox setup.

A comprehensive guide simulating real-world attacks against internet-facing infrastructure (firewalls, web servers, DNS, etc.). It covers the entire penetration testing lifecycle, including passive and active reconnaissance, vulnerability scanning (using tools like Nmap, Nessus, and Nuclei), manual validation, and simulated exploitation, adhering to standards like PTES and OSSTMM.

This tool provides comprehensive security assessments for the entire IoT ecosystem, including physical hardware, embedded firmware, network communications, and cloud APIs. Testers can perform deep dives using hardware debugging (UART/JTAG), firmware extraction and reverse engineering, analyzing protocols (MQTT, CoAP, BLE), and simulating cloud-to-device attacks to identify vulnerabilities across all layers of the smart device stack.

This guide provides a comprehensive methodology for assessing the security posture of Kubernetes etcd clusters. It covers critical areas including encryption at rest (for secrets), TLS transport security, access control validation, secure backup procedures, and network isolation checks, ensuring cluster data integrity and confidentiality.

A comprehensive guide for systematically evaluating Kubernetes cluster security. It simulates advanced attacker techniques against critical components like the API server, etcd, kubelet, RBAC, and network policies, identifying misconfigurations and vulnerabilities. Essential for security auditors, penetration testers, and DevOps teams performing deep cluster security assessments.

This skill detects advanced lateral movement techniques used by attackers after initial compromise, mapping them to MITRE ATT&CK TA0008. It correlates multiple data sources, including Windows event logs (4624, 4769), Sysmon telemetry, network flow data, and endpoint logs, to identify suspicious activities like Pass-the-Hash, PsExec, WMI exploitation, RDP pivoting, and SMB spreading.