Skill UI

Yara Authoring helps security teams write precise YARA rules for threat detection and malware hunting by guiding string/tag management and metadata handling so signature creation keeps pace with investigations.

A comprehensive tool for performing static analysis on Android APK malware samples. It utilizes androguard, apktool, and jadx to detect dangerous permission combinations, suspicious API calls (like reflection or crypto), dynamic code loading patterns, and extract Indicators of Compromise (IOCs) for robust security incident response and threat hunting.

A comprehensive toolset for analyzing Cobalt Strike Malleable C2 profiles. It parses advanced C2 communication configurations to extract crucial Indicators of Compromise (IOCs) such as HTTP headers, DNS settings, URI patterns, and user agents. The analysis is vital for threat hunting, developing network detection signatures (Suricata/Snort), and understanding evasion techniques used by advanced persistent threats (APTs).

This skill outlines the comprehensive process of memory forensics on compromised Linux systems. It guides users through acquiring volatile memory using the LiME kernel module and analyzing the resulting image with the Volatility 3 framework. Key artifacts extracted include process lists, network connections, bash history, and loaded kernel modules, making it an essential technique for incident response, threat hunting, and security investigations.

A comprehensive tool for detecting and analyzing covert communication channels used by sophisticated malware. It focuses on identifying anomalies in network traffic, such as DNS tunneling, ICMP exfiltration, and steganographic HTTP abuse, which are used for Command and Control (C2) communication and data exfiltration. Ideal for security incident response, threat hunting, and building advanced network detection rules.

A dedicated tool for forensic analysis of Windows PowerShell Script Block Logs (Event ID 4104) captured in EVTX files. It reconstructs multi-block scripts, applying advanced detection heuristics such as entropy analysis and pattern matching to identify obfuscated commands, encoded payloads (Base64), download cradles, and AMSI bypass attempts, crucial for threat hunting and incident response.

This skill details the implementation of a cloud-native SIEM and SOAR platform using Microsoft Sentinel. It covers ingesting multi-cloud logs (AWS, Azure, GCP), writing advanced KQL detection queries for threat hunting, and automating incident response workflows using Logic Apps. Ideal for centralized security operations in complex, multi-cloud environments.

This framework provides a systematic methodology for cybersecurity professionals to transform raw threat intelligence, observed attack patterns, and environmental telemetry into verifiable, testable hunting hypotheses. It guides the end-to-end process, from hypothesis formulation and data identification across SIEM/EDR systems, to deep correlation and reporting, enabling proactive threat detection and scope assessment.

This skill analyzes AWS CloudTrail logs to detect suspicious API call patterns, such as new event sources, geographic anomalies, or high-frequency usage. It establishes a statistical baseline of normal activity and flags deviations indicative of compromised credentials, privilege escalation, or insider threats, providing a detailed JSON report for security investigation and threat hunting.

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 tool helps detect Broken Object Property Level Authorization (BOPLA) vulnerabilities, which are critical security flaws detailed in OWASP API3:2023. It scans APIs for excessive data exposure (reading sensitive fields) and mass assignment risks (modifying unintended properties) by simulating malicious requests and analyzing responses. Ideal for security testing, threat hunting, and implementing robust API security controls.

This guide provides a comprehensive methodology and technical approach for detecting malicious email forwarding rules. It is crucial for threat hunting, incident response, and proactive security assessments to identify persistent access mechanisms used by adversaries for intelligence collection and Business Email Compromise (BEC) attacks. It outlines necessary prerequisites, workflow steps, and key threat indicators (T1114).