Skill UI

Utilizes User and Entity Behavior Analytics (UEBA), statistical baselines, and machine learning models to monitor authentication logs. This skill identifies sophisticated security threats such as impossible travel, credential stuffing, brute force attacks, and compromised accounts in real-time. Essential for security operations and identity access management.

This skill implements User and Entity Behavior Analytics (UEBA) to detect sophisticated insider threats. It builds behavioral baselines from diverse log sources (authentication, file access, network) using Elasticsearch/OpenSearch. It calculates anomaly scores and performs peer group analysis to identify deviations indicative of data exfiltration, privilege abuse, or unauthorized access patterns.

A comprehensive guide and framework for detecting attacker lateral movement within enterprise networks. It details the use of network flow analysis (Zeek), authentication log review (Windows Event Logs, Kerberos), and dedicated SIEM correlation rules (Splunk, Elastic) to identify techniques like Pass-the-Hash and RDP hopping. Ideal for threat hunters and security engineers building detection pipelines.

This guide outlines a comprehensive threat hunting methodology for detecting adversary lateral movement within a network environment. It utilizes Splunk SPL queries against rich Windows event data, including authentication logs (4624, 4625), SMB traffic, and Sysmon telemetry. By correlating source-to-destination activity and identifying unusual logon types (RDP, WinRM, SMB), users can proactively track an attacker's path after initial system compromise, fulfilling MITRE ATT&CK T1021 techniques.

A comprehensive guide for proactive threat hunting and incident response, detailing how to detect Pass-the-Hash attacks. It involves analyzing NTLM authentication patterns, identifying suspicious Type 3 logons, and correlating these anomalies with credential dumping techniques using SIEM/EDR tools.

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 comprehensive guide details advanced techniques for detecting and exploiting NoSQL injection vulnerabilities across various databases like MongoDB and CouchDB. It covers critical attack vectors, including authentication bypass using operators ($ne, $gt), blind data extraction via $regex, and executing arbitrary server-side JavaScript through the $where clause. Essential reading for penetration testers and security researchers assessing NoSQL backends.

A comprehensive skill for detecting and exploiting JavaScript prototype pollution vulnerabilities in both client-side and server-side applications. It demonstrates advanced property injection techniques to achieve critical security outcomes, including Cross-Site Scripting (XSS), Remote Code Execution (RCE), and authentication/authorization bypass, especially in Node.js environments and JSON merging scenarios.

This skill focuses on identifying and exploiting type juggling vulnerabilities in PHP web applications. It demonstrates techniques such as loose comparison bypass (==), type coercion using JSON/serialized input, and leveraging magic hash collisions to circumvent authentication mechanisms, password verification, and general application logic checks in a controlled security testing environment.

This comprehensive guide outlines techniques for authorized penetration testing of real-time web applications using WebSocket connections. It covers discovering various WebSocket endpoints, testing for authentication bypass, identifying Cross-Site WebSocket Hijacking (CSWSH) vulnerabilities, and assessing message handling for injection flaws (SQLi, XSS). Essential for securing chat, trading, and live notification platforms.

This utility performs comprehensive forensic analysis on memory dumps. It leverages industry-standard tools like Volatility and Mimikatz to extract sensitive information, including cached credentials, NTLM/LM hashes, Kerberos tickets, and authentication tokens. It is crucial for incident response, assessing the scope of credential compromise, and investigating lateral movement attacks.

This guide provides comprehensive steps to harden the Docker daemon configuration. It covers essential security controls like user namespace remapping, disabling inter-container communication (ICC), implementing TLS authentication, and adopting rootless mode. Implementing these measures significantly reduces the attack surface and mitigates risks associated with container breakouts and privilege escalation, aligning with CIS benchmarks.