Skill UI

This guide details the process of performing static analysis on potentially malicious PDF documents. It utilizes advanced tools like peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects. Use this method when triaging suspicious attachments from phishing emails or conducting deep forensic examination of weaponized document artifacts to generate actionable Indicators of Compromise (IOCs).

This skill guides users through analyzing suspicious URLs using the URLScan.io platform or API. It provides a safe environment to capture screenshots, DOM content, network traffic, and analyze JavaScript behavior to investigate phishing attempts, credential harvesting, and sophisticated malicious redirects without risking the analyst's system.

This comprehensive toolkit provides deep static analysis capabilities for suspicious PDF documents. Using tools like PDFiD, pdf-parser, and peepdf, it identifies embedded malicious structures—including JavaScript code, shellcode, auto-actions, and exploit kits—without opening or rendering the file. It is essential for security analysts conducting threat triage, forensic investigation, and assessing potential attack vectors from suspicious attachments.

This comprehensive skill analyzes Zeek conn.log and NetFlow data to proactively detect advanced indicators of ransomware activity. It identifies critical threats such as Command and Control (C2) beaconing patterns, connections to TOR exit nodes, large-scale data exfiltration flows, and suspicious DNS anomalies. It is essential for threat hunting and complex security incident response.

This skill outlines a comprehensive methodology for detecting compromised email accounts in Microsoft 365 and Google Workspace. It analyzes critical indicators such as unauthorized inbox rule creation (e.g., forwarding rules, deletion rules), suspicious sign-in locations (impossible travel), and unusual API access patterns using Microsoft Graph and Unified Audit Logs. It is essential for threat hunting and incident response (IR) to mitigate Business Email Compromise (BEC) and account takeover.

This skill provides a methodology for proactive threat hunting to detect compromised service accounts. It focuses on identifying anomalous activities such as unusual interactive logons, unauthorized privilege escalation, lateral movement, and suspicious access patterns using SIEM/EDR platforms. Essential for incident response and compliance.

This guide details how to detect advanced process injection techniques (T1055) by analyzing rich Sysmon telemetry. It focuses on identifying cross-process memory operations, such as remote thread creation (Event 8), suspicious process access (Event 10), and memory divergence (ProcessTampering/Event 25), which are hallmarks of DLL injection and process hollowing. Ideal for threat hunters and security analysts investigating sophisticated defense evasion.

This skill guides threat hunters in detecting Cobalt Strike Command and Control (C2) beacons. It utilizes advanced network forensic techniques, including analyzing default TLS certificate serials, JA3/JA3S/JARM fingerprints, beacon jitter, and HTTP profile matching. Detection is achieved by correlating data from Zeek logs, Suricata rules, and Python PCAP analysis to identify suspicious outbound communications.

This guide provides a structured methodology for proactively hunting adversaries who establish persistence using Windows Scheduled Tasks (T1053). It outlines the necessary prerequisites (EDR, SIEM, Sysmon) and a comprehensive workflow—from hypothesis formulation to threat correlation—for detecting suspicious task creation, unusual scheduling patterns, and attacker TTPs during incident response or red teaming.

Detects persistence mechanisms (T1547.001) by monitoring critical Windows startup directories. This skill analyzes autoruns entries, monitors for real-time file system changes using Python watchdog, and examines file metadata (like creation timestamps and digital signatures) to identify suspicious implants and unauthorized execution points.

A comprehensive guide and methodology for proactively detecting webshell deployments on internet-facing servers. It focuses on analyzing file system anomalies, suspicious process spawning from web applications, and identifying unusual HTTP traffic patterns. Ideal for security operations centers (SOCs) during threat hunting, incident response, and purple team exercises.

This skill guides the implementation of email sandboxing using Proofpoint Targeted Attack Protection (TAP). It covers configuring isolated detonations for suspicious attachments and URLs to detect zero-day malware, evasive phishing, and advanced threats. Learn to tune policies, monitor the TAP dashboard, and integrate findings with SIEM for robust email security architecture.