Skill UI

This skill analyzes AWS IAM policies using boto3 and Cloudsplaining principles to detect potential privilege escalation paths in AWS accounts. It identifies overly permissive policies, dangerous permission combinations (such as combining role passing and resource creation), and violations of least-privilege principles. It is designed for security incident investigation, threat hunting, and validating overall cloud security posture.

Focuses on advanced threat detection within Azure AD/Entra ID. This skill guides users on correlating Graph API audit logs, sign-in anomalies, and KQL queries in Microsoft Sentinel to identify sophisticated lateral movement techniques, such as privilege escalation, OAuth abuse, and cross-tenant pivoting. Essential for SOC threat hunting.

This guide provides advanced detection methods and threat hunting queries (KQL/SPL) to identify abuse of Azure service principals. It covers techniques such as privilege escalation, credential compromise, unauthorized role assignment, and enumeration, essential for SOC analysts and security teams monitoring Microsoft Entra ID.

This skill uses the Python azure-mgmt-storage SDK to perform comprehensive security audits on Azure Blob and ADLS storage accounts. It detects critical misconfigurations, including public access exposure, weak or long-lived SAS tokens, lack of encryption at rest, failure to enforce HTTPS, and outdated TLS versions. The output is a detailed, risk-scored report with remediation recommendations, essential for SOC analysts and security posture management.

This tool helps detect Broken Object Property Level Authorization (BOPLA) vulnerabilities, which are critical security flaws detailed in OWASP API3:2023. It scans APIs for excessive data exposure (reading sensitive fields) and mass assignment risks (modifying unintended properties) by simulating malicious requests and analyzing responses. Ideal for security testing, threat hunting, and implementing robust API security controls.

This skill provides comprehensive guidelines for detecting Business Email Compromise (BEC), a sophisticated fraud scheme. It covers detection techniques using email gateway rules, behavioral analytics, and robust financial process controls. Learn to identify red flags like unusual payment requests, domain mismatches, and patterns of social engineering to protect against financial loss.

This guide teaches security teams how to deploy and operationalize Amazon GuardDuty for continuous, comprehensive threat detection across entire AWS accounts and workloads. It covers enabling protection plans for S3, EKS, EC2 runtime monitoring, and Lambda, interpreting various finding severity levels, and building robust, automated incident response playbooks using EventBridge and AWS Lambda for immediate containment actions.

This skill detects compromised cloud credentials by analyzing anomalous API activity, impossible travel patterns, and unauthorized access indicators across AWS, Azure, and GCP. It integrates findings from GuardDuty, Defender for Identity, and Security Command Center to provide comprehensive threat visibility and assist in incident response and scope assessment.

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).

A comprehensive guide for security teams on detecting and responding to unauthorized crypto mining operations in cloud environments (AWS, Azure). It details a multi-layered approach, utilizing cost anomaly detection, compute utilization monitoring, GuardDuty findings, and network flow log analysis (VPC/KQL) to identify resource hijacking attempts and suspicious activity across EC2, ECS, and EKS workloads.