Skill UI

This skill audits Azure Blob and ADLS storage accounts for critical security misconfigurations. It checks for public access exposure, weak or long-lived SAS tokens, missing encryption at rest, and outdated TLS versions. Using the Python SDK, it generates a detailed, risk-scored report to enhance cloud security posture management and detect potential data exposure risks.

This guide provides a comprehensive framework for auditing Azure Storage accounts to detect critical security misconfigurations. It specifically checks for publicly accessible blob containers, insufficient encryption settings (e.g., missing infrastructure encryption), overly permissive network rules, and exposed SAS tokens. It is essential for compliance verification, responding to security alerts (like anonymous access), and establishing a robust security baseline when onboarding new cloud subscriptions.

This guide details methods for detecting and mitigating OAuth token theft and replay attacks in cloud environments, specifically targeting Microsoft Entra ID (Azure AD). It covers protection against access token theft, Primary Refresh Token (PRT) abuse, and pass-the-cookie attacks. Users can leverage Conditional Access and Token Protection features to cryptographically bind tokens to devices, significantly enhancing cloud identity security and preventing session hijacking.

This skill provides a comprehensive framework for detecting various privilege escalation techniques across Windows and Linux. It covers access token manipulation, UAC bypass, unquoted service path abuse, and kernel exploits. It is essential for threat hunting, scoping compromise during incident response, and validating detection coverage in proactive security assessments.

This skill demonstrates how to exploit vulnerabilities in JWT implementations, specifically algorithm confusion. It targets APIs that fail to strictly enforce the signing algorithm, allowing attackers to downgrade signatures (e.g., RS256 to HS256) or bypass signature verification entirely (alg:none). Use this for authorized penetration testing of API security and cryptographic integrity.

A comprehensive guide for penetration testers detailing methods to identify and exploit misconfigurations in OAuth 2.0 and OpenID Connect (OIDC) flows. Techniques cover redirect URI manipulation, authorization code theft, token leakage via headers, and scope escalation during security assessments.

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 skill covers implementing robust API abuse detection using advanced rate-limiting algorithms like Token Bucket and Sliding Window. It uses Redis for distributed counting and allows for adaptive limits, dynamically tightening during detected attacks and relaxing during normal traffic. Ideal for securing APIs against DDoS, brute force, and scraping attacks.

Details how to implement robust API rate limiting and throttling using advanced techniques like Token Bucket, Sliding Window, and Fixed Window algorithms. Supports per-user, per-IP, and per-endpoint quotas, utilizing Redis for distributed counting. Essential for protecting APIs against brute force, credential stuffing, and resource exhaustion attacks, returning proper HTTP 429 responses.

This skill uses the Thinkst Canary REST API to programmatically deploy and monitor various tripwire mechanisms, including web bugs, DNS tokens, MS Word documents, and AWS API keys. It is designed for early breach detection by simulating attacker activity and generating comprehensive deception coverage reports and alert histories.

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.

This skill guides the deployment of canary tokens and honeytokens across critical systems, such as fake AWS credentials, DNS records, and document beacons. These decoys are designed to trigger immediate alerts via webhooks when accessed by attackers, serving as a powerful early warning system for breach detection and intrusion detection.