Skill UI

Configure NextDNS as an encrypted DNS resolver (DoH/DoT) to enforce zero trust principles at the network layer. This skill guides users on deploying real-time threat intelligence filtering, blocking malicious domains, preventing cryptojacking, detecting DNS rebinding, and enforcing strict organizational DNS policies across endpoints, aligning with modern cybersecurity standards.

Automates the static security analysis of Android APK/AAB files using the Mobile Security Framework (MobSF). This skill identifies critical vulnerabilities such as hardcoded secrets, insecure permissions, weak cryptography, and structural flaws (mapping to OWASP Mobile Top 10) without requiring application execution. It is essential for integrating security gates into CI/CD pipelines, performing pre-release quality assurance, and enhancing penetration testing coverage.

This skill provides a systematic cryptographic audit tool designed to review applications for security vulnerabilities. It scans source code and configuration files to detect weak hashing algorithms (MD5, SHA-1), insecure cipher modes (ECB), hardcoded secrets, and deprecated protocols like TLS 1.0. Essential for security assessments, compliance checks, and maintaining secure coding practices.

A specialized tool for authorized penetration testing and security assessments. It exploits the vulnerability of JWT libraries that accept tokens with the "alg": "none" header, bypassing cryptographic signature verification. Users can craft tokens with arbitrary claims (e.g., elevated privileges, impersonation) to validate that a target server correctly rejects unsigned JSON Web Tokens.

This comprehensive guide details a step-by-step workflow for reverse engineering malware binaries using Ghidra. It guides users through static and dynamic analysis techniques to study internal logic, C2 communication protocols, cryptographic routines, and obfuscation methods at the assembly and pseudo-C code level. Use this when deep code review is required to extract configuration data, understand exploit mechanisms, or develop detection signatures.

A comprehensive deep dive into reverse engineering ransomware encryption mechanisms. It details the analysis of hybrid encryption models (AES/RSA), identifying specific cryptographic APIs (CryptoAPI, CNG), and locating implementation flaws such as weak key generation or IV reuse. This guides authorized security professionals in finding potential decryption opportunities without paying a ransom.

A comprehensive guide for assessing the security of JSON Web Token (JWT) implementations. This toolkit details attacks against cryptographic weaknesses, including algorithm confusion (e.g., RS256 to HS256), 'none' attacks, brute-forcing HMAC secrets, and claim manipulation. Ideal for penetration testing and security audits of modern APIs and SSO systems.

Connects to the MAXIA AI-to-AI marketplace on the Solana blockchain. This tool allows users to discover, buy, and sell AI services directly between decentralized agents. Features include comprehensive crypto intelligence, such as sentiment analysis and trending data; DeFi yield tracking; Web3 wallet security analysis (e.g., rug detection); and real-time GPU pricing, making it a comprehensive hub for Web3 AI interactions.

Register ICANN domains via a REST API with crypto payments so AI agents can autonomously check availability, pay in USDC/USDT/ETH/BTC, and retrieve DNS management credentials.

This skill provides comprehensive forensic analysis of cryptocurrency payment flows stemming from ransomware attacks. It leverages blockchain APIs and advanced techniques to identify wallet clusters, track fund movement through obfuscation methods like mixers and peel chains, and map funds to exchanges. It is crucial for law enforcement, incident responders, and threat intelligence analysts conducting ransomware attribution.

A comprehensive skill for conducting authorized Bluetooth Low Energy (BLE) security assessments. It covers detecting various attacks, including sniffing, Man-in-the-Middle interception, replay attacks, and GATT enumeration abuse. The workflow guides users through packet capture using specialized sniffers (Ubertooth, nRF Sniffer), analyzing services and characteristics via Python/bleak, and performing cryptographic analysis using tools like crackle.

A comprehensive guide for implementing hardware-level confidential computing using AWS Nitro Enclaves. This process involves creating secure enclave images (EIFs), performing cryptographic attestation validation against the Nitro PKI, and configuring AWS KMS policies. It ensures that sensitive data (like PII or PHI) remains isolated from the parent EC2 instance, guaranteeing security even if the host system is compromised.