Skill UI

This system deploys advanced AI, NLP, and behavioral analytics to detect sophisticated Business Email Compromise (BEC) attacks. Unlike traditional filters that rely on malicious links, this solution analyzes writing style, tone, grammatical patterns, and contextual anomalies to identify pure social engineering impersonation, providing a robust defense layer against advanced phishing and fraud.

This guide details methods and rules for detecting container escape attempts, a critical security vulnerability where an adversary breaks out of container isolation to access the host system or other containers. It covers monitoring syscalls, namespace manipulation (e.g., nsenter, unshare), accessing sensitive host paths (/proc), and detecting privileged operations using tools like Falco and eBPF.

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.

This skill provides comprehensive detection methods for credential dumping techniques, a critical post-exploitation phase in cyber attacks. It targets the extraction of sensitive credentials from LSASS memory, SAM registry hives, and NTDS.dit using advanced security visibility. Detection relies on analyzing Sysmon Event ID 10 (ProcessAccess), Windows Security logs, and complex SIEM correlation rules, making it essential for SOC analysts and threat hunters investigating advanced persistent threats (APTs).

This guide is crucial for threat hunters investigating Active Directory compromises. It details how to monitor Windows Security Event ID 4662 to detect unauthorized attempts by non-domain-controller accounts to access critical directory replication GUIDs. These anomalies are strong indicators of DCSync attacks, which are used by attackers (e.g., using Mimikatz) to dump hashes, perform lateral movement, and execute credential theft.

A comprehensive guide for detecting DLL sideloading attacks, where adversaries place malicious DLLs near legitimate applications to hijack the execution flow. This technique is critical for threat hunting and incident response, requiring advanced EDR monitoring, Sysmon analysis, and verifying digital signatures to prevent defense evasion.

A specialized tool for detecting anomalies within DNP3 (Distributed Network Protocol 3) communications used in critical SCADA and energy sector infrastructure. It employs deep packet inspection and baseline comparison to monitor for unauthorized control commands, protocol violations, suspicious firmware update attempts, and deviations from established operational traffic patterns.

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 guide provides a comprehensive methodology and technical approach for detecting malicious email forwarding rules. It is crucial for threat hunting, incident response, and proactive security assessments to identify persistent access mechanisms used by adversaries for intelligence collection and Business Email Compromise (BEC) attacks. It outlines necessary prerequisites, workflow steps, and key threat indicators (T1114).

Analyzes Windows Security EVTX logs to detect Kerberos golden ticket assaults by correlating event IDs 4768, 4624, and 4672, flagging long-lived TGTs, privilege escalations without group changes, SID inconsistencies, and outputting a timeline-based report.

This skill guides the detection of Golden Ticket attacks within Active Directory by analyzing Kerberos logs (Event IDs 4768, 4769, 4771). It hunts for critical anomalies, such as mismatched encryption types (e.g., RC4 in AES environments), impossible ticket lifetimes, or service tickets appearing without a prior ticket grant request. This is essential for post-breach assessment and advanced threat hunting in domain environments.

This skill provides structured procedures and Python examples for detecting internal data exfiltration. It analyzes endpoint, cloud, and email logs by establishing behavioral baselines and performing statistical anomaly detection. Use cases include investigating insider threats, monitoring DLP policy violations, and building robust User and Entity Behavior Analytics (UEBA) rules for SOC teams.