Skill UI

This skill provides comprehensive methods to detect Cobalt Strike beacon command-and-control (C2) traffic. It uses advanced network forensics techniques, including analyzing default TLS certificates (e.g., serial 8BB00EE), JA3/JA3S fingerprints, HTTP malleable profiles, and beacon interval jitter, leveraging Zeek logs, Suricata rules, and Python PCAP analysis. It is essential for threat hunters and SOC analysts investigating sophisticated C2 communications.

This skill provides advanced techniques and code examples for monitoring, mapping, and pivoting across adversary-controlled infrastructure. It leverages Passive DNS, Certificate Transparency logs, Shodan/Censys scanning, and network fingerprinting (JARM/JA3S) to discover C2 servers, phishing domains, and exploitable assets over time, which is crucial for advanced security operations and threat intelligence gathering.

Automatically analyzes unfamiliar codebases to generate a comprehensive, structured onboarding guide. It systematically detects package manifests, framework fingerprints, architecture maps, key entry points, and coding conventions. Ideal for new developers joining a project or setting up a repository for the first time.

This comprehensive guide implements External Attack Surface Management (EASM). It integrates leading industry tools like Shodan, Censys, subfinder, httpx, and nuclei for deep reconnaissance. Users can systematically discover assets, enumerate subdomains, fingerprint services, scan for vulnerabilities, and calculate weighted exposure scores based on professional OWASP methodology. Ideal for continuous security monitoring and deep penetration testing.

Datamol is a high-level, Pythonic abstraction layer built over RDKit, designed for computational chemistry and drug discovery. It simplifies complex molecular operations, offering sensible defaults for tasks like SMILES standardization, descriptor calculation, fingerprint generation (ECFP4), 3D conformer analysis, and molecular clustering. It supports efficient parallel processing and cloud storage I/O, making it ideal for handling large-scale chemical datasets.

DeepChem is a comprehensive Python library designed to apply machine learning to chemistry, materials science, and biology. It enables sophisticated molecular property prediction (ADMET, solubility, toxicity), drug discovery, and materials design. The library supports diverse featurization methods (fingerprints, graph representations) and advanced model architectures, including GNNs and transfer learning, making it ideal for analyzing complex chemical datasets like MoleculeNet.

A structured system designed to extract the cognitive fingerprint of any text's author. Utilizing the DHDNA framework, it analyzes 12 dimensions—such as Analytical Depth, Emotional Processing, and Strategic Thinking—to provide deep insights into the author's unique reasoning patterns, decision-making style, and overall cognitive signature. Ideal for content analysis, psychological profiling, and understanding underlying thought processes.

Utilize Bright Data's Scraping Browser with Playwright or Puppeteer to reliably scrape structured data from JavaScript-rendered pages, Single Page Applications (SPAs), and anti-bot-protected sites. This tool manages proxy routing, CAPTCHA solving, and fingerprint management, ensuring robust data collection from complex web environments.

This comprehensive guide demonstrates how to scrape live webpages using Bright Data's Web Unlocker proxy. It details how to bypass advanced anti-scraping mechanisms, such as CAPTCHAs and fingerprinting, automatically. Users are provided with full code examples in both Node.js and Python, showing methods for scraping via the proxy endpoint and through the dedicated REST API. Ideal for starting new scraping projects or integrating Bright Data into existing workflows.

This comprehensive checklist details advanced methods for bypassing Web Application Firewalls (WAFs) during security assessments. Techniques covered include encoding bypass (URL, Unicode, double encoding), HTTP header manipulation, IP rotation, payload obfuscation, and fingerprinting specific WAF vendors (e.g., Cloudflare, Akamai). It is essential for penetration testers evaluating the robustness of web defenses.

A comprehensive playbook detailing advanced techniques for exploiting insecure deserialization flaws across Java, PHP, and Python. It covers traffic fingerprinting, identifying specific gadget chains (e.g., Commons Collections, Shiro), and utilizing tools like ysoserial to achieve Remote Code Execution (RCE) and privilege escalation.

A comprehensive playbook for professional bug bounty hunting and penetration testing. This guide covers systematic reconnaissance, from initial asset discovery (subdomains, IPs) and technology fingerprinting to advanced endpoint and source code mining. Learn the structured methodology used by top hunters to maximize coverage and find high-severity vulnerabilities.