Skill UI

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 skill detects unauthorized modifications (container drift) to running containers by monitoring for deviations from the original image state. It monitors binary execution drift, file system changes, and configuration deviations using tools like Falco and Kubernetes security contexts. Essential for SOC analysts and security teams investigating runtime compromises and enforcing immutable infrastructure.

This skill provides advanced runtime security rules using Falco, a CNCF-graduated tool. It monitors Linux syscalls to detect container escape attempts in real-time, identifying techniques such as mounting host filesystems, unauthorized namespace access (nsenter), and privileged container launches. It is crucial for SOC analysts and security teams enhancing cloud-native security coverage.

A comprehensive guide and set of detection rules for identifying OS credential dumping techniques (MITRE T1003). It leverages EDR telemetry, Sysmon process access monitoring, and Windows security event correlation to detect attacks targeting LSASS memory, SAM databases, and NTDS.dit files. Essential for proactive threat hunting and incident response.

This skill provides a comprehensive workflow to extract Indicators of Compromise (IOCs) from malware samples and analysis reports. It covers file hashes (SHA256, MD5), network artifacts (IPs, domains, URLs from strings and PCAPs), and host-based indicators (registry keys, file paths, mutexes) from sandbox reports. It is essential for threat intelligence sharing, building blocklists, and creating detection signatures (YARA, Snort).

This skill automates the hardening of Linux endpoints (Ubuntu, RHEL, CentOS) by implementing industry-standard security best practices guided by CIS Benchmarks. It systematically secures various layers, including filesystem permissions, network parameters (sysctl), SSH configuration, user access controls (PAM), and integrates deep auditing using auditd and OpenSCAP. It is essential for achieving compliance with standards like PCI DSS, HIPAA, and SOC 2.

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.

Provides a structured methodology for proactive threat hunting against Living-off-the-Land Binaries (LOLBins). It guides practitioners in identifying techniques where adversaries abuse legitimate system tools (like certutil, mshta, rundll32) to execute payloads while bypassing traditional security controls (AV/EDR). Ideal for incident response, red team validation, and improving detection coverage against fileless attacks.

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 File Integrity Monitoring (FIM) using AIDE (Advanced Intrusion Detection Environment). It covers setting up AIDE configurations, creating initial baselines, performing scheduled integrity checks, and parsing detailed change reports. This is essential for maintaining strong security controls, meeting compliance requirements, and detecting unauthorized system modifications on Linux environments.

This guide details the deployment of deception technologies, including canary files and honeypot shares, to detect ransomware activity at its earliest stages. It outlines configuring file integrity monitoring (FIM) and using specialized tokens to trigger alerts when ransomware attempts encryption or performs lateral movement, significantly enhancing security posture beyond standard EDR.