Skill UI

Conduct hypothesis-driven threat hunting for Command-and-Control (C2) activity (T1071). This skill guides the analysis of SIEM/EDR network telemetry to detect anomalous outbound traffic, rare destination IPs, non-standard ports, and unusual connection frequencies, helping identify beaconing or data exfiltration attempts. Essential for proactive defense and incident response.

This skill guides the deployment and configuration of Data Loss Prevention (DLP) controls directly on endpoints. It detects and prevents the unauthorized exfiltration of sensitive data (PII, PHI, PCI) via common vectors like email, USB drives, cloud storage uploads, and printing. Use this when establishing compliance policies (HIPAA, GDPR) or securing data against internal data movement risks.

This skill establishes normal network communication patterns by analyzing historical NetFlow/IPFIX data. Utilizing Python pandas, it computes hourly/daily volume distributions, per-host statistics, and top-talker profiles. Anomalies are detected using sophisticated statistical methods like z-score and IQR, allowing SOC analysts to quickly identify deviations such as data exfiltration spikes, persistent beaconing, or unusual port usage.

This skill provides a comprehensive guide to implementing robust USB device control policies. It restricts unauthorized removable media access to mitigate data exfiltration risks and prevent malware introduction via USB endpoints. Learn how to deploy granular policies using Group Policy Objects (GPO), Microsoft Intune, or advanced Endpoint Detection and Response (EDR) platforms to meet strict compliance standards.

A comprehensive guide to securing Software as a Service (SaaS) applications (e.g., Microsoft 365, Salesforce) using Zero Trust principles. This skill covers deploying CASB/SSPM solutions, enforcing conditional access policies (MFA, device compliance), governing OAuth permissions, and applying session-level DLP controls to prevent data exfiltration in multi-cloud environments. Ideal for security architects and engineers.

This skill provides SOC teams with a structured, multi-source workflow to investigate potential insider threats. It correlates data from SIEM, DLP, EDR, and HR feeds to detect data exfiltration attempts (via cloud, USB, email), unauthorized access patterns, and policy violations. It is crucial for building comprehensive investigation timelines, especially when handling departing employees or suspected data theft.

A comprehensive guide to investigating AWS account compromises by querying CloudTrail logs. Use boto3 or AWS Athena to filter suspicious activities—such as unauthorized API calls, S3 data exfiltration, or IAM privilege escalation—to reconstruct a detailed attacker timeline and generate a professional forensic report.

A comprehensive guide for web security professionals detailing advanced techniques to bypass Content-Security-Policy (CSP) headers. It covers exploiting weaknesses such as unsafe-inline/unsafe-eval, JSONP endpoints, base-uri, and nonce/hash gaps. Used during penetration testing or bug bounty hunting to achieve Cross-Site Scripting (XSS) or data exfiltration even when CSP is implemented.

This skill detects covert data exfiltration occurring over DNS tunnels. It analyzes DNS query names by computing Shannon entropy, examining query length distributions, and identifying high subdomain cardinality. It is essential for security operations, incident response, and proactive threat hunting when suspicious or encoded DNS activity is suspected.

A comprehensive guide for performing deep network forensics using Wireshark and tshark. This technique analyzes raw PCAP/PCAPNG files captured during security incidents to reconstruct network events, identify data exfiltration methods, extract sensitive artifacts (credentials, files), detect Command-and-Control (C2) communications, and pinpoint network indicators of compromise (IOCs). Ideal for digital forensics and incident response teams.

A comprehensive guide and framework for performing digital forensics analysis on PCAP/PCAPNG files. This skill covers using industry-standard tools like Wireshark, tshark, tcpdump, and Python/Scapy to reconstruct network communications, extract evidence of data exfiltration, identify command-and-control (C2) activity, and trace lateral movement during incident response.

Automates deep packet inspection using tshark and pyshark on PCAP files. This tool is designed for cybersecurity professionals to perform structured network forensics, compute protocol distribution, detect suspicious activity (like port scans, beaconing, and data exfiltration), extract critical IOCs (IPs, domains, URLs), and identify advanced threats such as DNS tunneling patterns. Ideal for incident response and security auditing.