Skill UI

A comprehensive master guide for developers looking to embed interactive 3D scenes created in Spline.design into modern web projects. It provides specific integration methods for various frameworks, including React, Next.js, Vue, and vanilla JavaScript, ensuring optimal performance and runtime control for stunning UI/UX experiences.

This skill guides the creation of automated workflows for enriching raw Indicators of Compromise (IOCs) with multi-source threat intelligence context. It is designed for integration into SOAR platforms (e.g., Cortex XSOAR, Splunk SOAR) or Python pipelines. By automatically querying multiple sources like VirusTotal, AbuseIPDB, and MISP, it significantly reduces analyst mean time to triage (MTTT) and standardizes the resulting threat context and confidence scoring.

This skill provides a comprehensive workflow for building vendor-agnostic detection rules using the Sigma format. It empowers security operations center (SOC) engineers to translate raw threat intelligence and MITRE ATT&CK techniques into standardized, portable detection logic. The process guides users through rule validation and conversion into specific queries for major SIEM platforms, including Splunk, Elastic, and Microsoft Sentinel, ensuring robust detection coverage.

This skill facilitates the creation of real-time incident response dashboards across major SIEM platforms (Splunk, Elastic, Grafana). It provides SOC analysts and leadership with unified situational awareness by tracking affected systems, containment status, Indicators of Compromise (IOC) spread, and the entire incident response timeline, crucial for coordination and post-incident reporting.

This guide details how to build automated threat intelligence enrichment pipelines within Splunk Enterprise Security. By leveraging the Threat Intelligence Framework, users can ingest, normalize, and correlate Indicators of Compromise (IOCs) from diverse external sources (such as TAXII, CSV, and custom APIs). The process uses KV Store collections and lookup searches to enrich raw security events with critical threat context, significantly reducing triage time for SOC teams.

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.

A comprehensive guide and framework for detecting attacker lateral movement within enterprise networks. It details the use of network flow analysis (Zeek), authentication log review (Windows Event Logs, Kerberos), and dedicated SIEM correlation rules (Splunk, Elastic) to identify techniques like Pass-the-Hash and RDP hopping. Ideal for threat hunters and security engineers building detection pipelines.

This skill guides security testers in identifying excessive data exposure in REST and GraphQL APIs. It involves intercepting API responses and analyzing them for leaked Personally Identifiable Information (PII), internal identifiers, or sensitive business data that the client UI does not display but the API transmits. It maps directly to OWASP API3:2023 Broken Object Property Level Authorization, helping prevent data leaks via over-fetching.

Learn how to integrate AFL++ (American Fuzzy Lop Plus Plus) into Continuous Integration/Continuous Deployment (CI/CD) pipelines. This guide details the process of using coverage-guided fuzzing to discover critical vulnerabilities, such as memory corruption, input handling flaws, and logic bugs, in compiled C/C++ applications that process untrusted input.

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 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.

This skill automates the entire phishing incident response lifecycle using the Splunk SOAR REST API. It processes reported emails, extracts indicators of compromise (IOCs) like URLs and IPs, creates incident containers, attaches artifacts, and triggers automated playbooks for deep analysis and reporting. It is essential for security operations teams needing robust, programmatic incident handling and compliance alignment.