Skill UI

This tool analyzes Web Application Firewall (WAF) logs (ModSecurity, AWS WAF, Cloudflare) to detect sophisticated SQL injection attack campaigns. It parses diverse log formats, identifies common SQLi payloads (UNION SELECT, OR 1=1), correlates multi-stage attacks, tracks source IPs, and generates detailed incident reports classified by OWASP standards for SOC analysts and security researchers.

This skill addresses advanced threat detection for critical infrastructure (OT/ICS). It monitors sophisticated, multi-stage cyber-physical attacks, focusing specifically on PLC logic integrity monitoring, detecting unauthorized modifications, and analyzing process anomalies. It covers the entire attack chain, from initial USB-borne access (IT) to process manipulation (OT).

This tool scans GitHub Actions workflows and CI/CD configurations to identify critical supply chain attack vectors. It specifically checks for unpinned actions, risks from script injection using expressions, dependency confusion, and secrets exposure, helping organizations harden their build systems against sophisticated threats.

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 guide details the end-to-end process for executing authorized phishing simulations. It instructs security teams and red teams on designing realistic social engineering pretexts, setting up credential harvesting infrastructure (using tools like GoPhish), and measuring key metrics such as open rates, click-through rates, and credential submission rates. It is crucial for assessing organizational human security awareness and testing email security controls (e.g., DMARC, SPF, DKIM).

This skill demonstrates how to exploit JWT algorithm confusion vulnerabilities. It targets APIs that do not strictly enforce the cryptographic algorithm (alg) specified in the token header. Techniques covered include downgrading from asymmetric algorithms (RS256) to symmetric ones (HS256) using the public key as the secret, performing alg:none bypasses, and manipulating key identifiers (kid, jku, x5u) to achieve authentication bypass and token forgery.

This tool leverages the Rekall memory forensics framework to conduct deep analysis of memory dumps. It is designed to detect sophisticated threats such as process hollowing, injected code via VAD anomalies, hidden operating system processes, and rootkit presence. It applies key forensic plugins (pslist, malfind, vadinfo) essential for rigorous incident response and malware analysis.

This skill provides structured methods for detecting credential stuffing attacks by analyzing authentication logs. It focuses on identifying complex patterns such as login velocity anomalies, high IP diversity, password spray techniques, and suspicious geographical distributions of failed logins. It is essential for SOC analysts conducting threat hunting or building robust detection rules against account takeover attempts.

This skill detects domain fronting, an advanced technique used by attackers to mask Command and Control (C2) traffic. It analyzes proxy/web gateway logs for mismatches between the TLS SNI field and the HTTP Host header, combined with deep TLS certificate inspection using pyOpenSSL. This is crucial for security teams investigating sophisticated network threats and validating detection coverage.

This guide details advanced threat hunting techniques to proactively uncover adversary persistence mechanisms leveraging Windows Management Instrumentation (WMI) event subscriptions. It monitors the creation and binding of WMI events (Filter, Consumer, Binding) to detect malicious, fileless backdoors used by sophisticated threat actors, especially when standard persistence locations are clean.

This guide details a structured threat hunting methodology designed to proactively detect sophisticated spearphishing campaigns. It instructs users on correlating indicators across email logs, endpoint telemetry (EDR), and network data (SIEM) to identify targeted threats, supporting incident response and security posture improvement.

This guide details proactive threat hunting techniques focused on detecting supply chain compromises. Use it when investigating trojanized software updates, compromised dependencies (npm/PyPI), or tampered build artifacts. It outlines a structured workflow using EDR/SIEM data (CrowdStrike, Splunk) to identify hidden threats and scope the impact of sophisticated attacks.