Skill UI

This guide details how to perform pre-execution static analysis of Windows PE malware samples using tools like PEStudio, Python's pefile, and FLOSS. It focuses on examining file headers, section entropy, import address tables (IAT), and embedded strings to identify malicious functionalities, packing techniques, and indicators of compromise (IOCs) without running the binary. Ideal for initial triage of suspicious executables.

A comprehensive guide and workflow demonstrating how to use YARA rules for proactive threat hunting. This method helps detect unknown malware, suspicious patterns, and Indicators of Compromise (IOCs) across filesystems, memory dumps, and network artifacts, making it essential for incident response and security analysis.

This skill performs User and Entity Behavior Analytics (UEBA) to identify anomalous user activities such as impossible travel, unusual access patterns, and privilege abuse. It establishes behavioral baselines using SIEM logs and statistical analysis, helping SOC teams detect insider threats and compromised accounts by flagging deviations from normal user behavior. Use when monitoring security hygiene and suspicious activity is critical.

A comprehensive guide for statically analyzing suspicious Android APKs. This skill demonstrates how to use JADX, apktool, and androguard to decompile Java/Kotlin source code, examine manifest permissions, and identify malicious patterns. Use this to detect data exfiltration, C2 command and control communication, privilege escalation, and overlay attacks in mobile threats.

This tool monitors Certificate Transparency (CT) logs to detect unauthorized certificate issuance for owned domains, discover hidden subdomains, and track suspicious certificate activity. By querying public CT logs and APIs (like crt.sh), it helps build continuous security pipelines, identify potential phishing infrastructure, and map the external attack surface for comprehensive threat intelligence.

This system detects ransomware by combining multiple advanced techniques: real-time entropy analysis, file system I/O monitoring, and behavioral heuristics. It identifies abnormal mass file modification patterns, sudden spikes in data entropy (indicating encryption), and suspicious process activities like shadow copy deletion. Ideal for building advanced EDR detection layers to catch zero-day and unknown ransomware variants.

A sophisticated skill for detecting Command and Control (C2) traffic tunneled through DNS protocols. It utilizes advanced techniques like Shannon entropy analysis of subdomains, Machine Learning for DGA classification, and correlation with network logs from Zeek/Suricata. Ideal for SOC analysts and threat hunters investigating data exfiltration, DNS beaconing, or suspicious DNS activity.

Accelerates CPU-bound Python workflows by translating NumPy, pandas, ML, graph, image, simulation, and IO code into NVIDIA GPU kernels using CuPy, Numba CUDA, Warp, cuDF/cuML/cuGraph, KvikIO, cuSpatial, and RAFT for dramatic speedups.

AWS Detective automatically analyzes log data from CloudTrail, VPC Flow Logs, GuardDuty, and EKS audit logs to build interactive behavior graphs. This tool enables security analysts to investigate suspicious activity, trace lateral movement across accounts, profile compromised entities (IAM users, EC2 instances), and reconstruct complex attack timelines without manual log parsing. Ideal for triaging GuardDuty findings or investigating suspected AWS compromises.

Guides preserving React 18 concurrent patterns during migration to React 19 while outlining post-migration adoption of new APIs like use(), Actions, useOptimistic, and Suspense data fetching so concurrent behavior stays intact.

A comprehensive guide to optimizing cloud spending on Fly.io. Learn advanced strategies for cost reduction, including implementing auto-stop/suspend features, correctly right-sizing Virtual Machines (VMs), managing and cleaning up orphaned volumes, and utilizing proper billing monitoring tools. Essential for efficient cloud resource management.

A comprehensive guide to managing the full application lifecycle on Fly.io. This workflow covers deploying applications, configuring the environment using fly.toml, managing sensitive secrets, scaling resources across multiple regions, and controlling the application's operational state (including suspension and destruction). Ideal for setting up production-grade, resilient cloud services.