Skill UI

A specialized analyzer designed to examine Siemens S7comm and S7CommPlus protocol traffic. It helps security professionals assess the security posture of SIMATIC S7 PLCs, detecting vulnerabilities such as unauthorized program downloads, PLC stop commands, and potential integrity bypasses in Operational Technology (OT) environments.

This comprehensive guide teaches advanced iOS reverse engineering techniques using Frida dynamic instrumentation. Users can analyze proprietary app logic, extract encryption keys, trace method calls, and bypass anti-tampering or anti-debugging mechanisms without needing source code. It is essential for authorized mobile security testing and protocol analysis.

This skill detects malicious Command and Control (C2) communications tunneled through the DNS protocol. It analyzes DNS query logs for indicators such as DNS tunneling tools (Iodine, dnscat2), Domain Generation Algorithms (DGA), and encoded payloads within TXT/CNAME records. Techniques include Shannon entropy analysis of subdomains, statistical anomaly detection, and machine learning classification. Ideal for network security analysts conducting deep threat hunting and forensic investigations.

A comprehensive framework for transforming raw observations into rigorous, evidence-bounded, and testable research plans. It guides users through establishing research questions (PICO/PECO), formulating candidate hypotheses and rival explanations, defining causal estimands, and creating preregistration-ready analysis plans, all while maintaining strict ethical and scientific guardrails.

A comprehensive guide detailing advanced offensive fuzzing methodologies. It covers the full lifecycle from target identification (parsers, network protocols, kernels) to tool selection (AFL++, libFuzzer, Honggfuzz, syzkaller), building harnesses, curating seed corpora, executing fuzz campaigns, and finally, performing crash triage and vulnerability analysis. Essential for security researchers and embedded systems developers.

A hands-on methodology for testing IoT and embedded devices, covering hardware reconnaissance, firmware extraction and analysis, bootloader access, runtime exploitation, wireless protocol attacks, companion app review, and cloud API abuse.

A comprehensive guide for cryptanalysts detailing advanced attack vectors against RSA cryptography. This playbook covers factorization methods, small exponent exploits (e.g., Hastad Broadcast), lattice-based attacks (Wiener's, Boneh-Durfee), and methods exploiting protocol weaknesses like padding oracles. Essential for CTF challenges and authorized security assessments.

This skill provides comprehensive testing for WebSocket APIs, covering protocol basics, Cross-Site WebSocket Hijacking (CSWSH), and common security flaws. Use it when testing applications that rely on real-time communication, chat features, or persistent data streams. It validates Origin checks, session binding, and message integrity.

This skill generates detailed, structured research protocols for various academic, clinical, or market research studies. It ensures all critical components—such as objectives, study design, participant criteria, methodology, data management, statistical analysis plan, and ethical considerations—are comprehensively documented, providing a robust framework for any scientific investigation.

This guide details the rigorous double-blind peer review process used by major art history journals. It helps authors understand what expert referees and editors focus on—such as the originality of the argument, close visual analysis, and documentary evidence—to pre-empt common objections and significantly improve manuscript quality before submission. It emphasizes mastering academic standards and anonymity protocols.

This detailed framework guides researchers in conducting rigorous and academically sound heterogeneity analysis for finance and economics manuscripts. It covers dimension prioritization, theoretical justification, sample size requirements, and statistical significance testing protocols (e.g., Chow test). Use this guide to strengthen the robustness of main findings and deepen the paper's contribution by identifying the specific conditions under which the effect operates.

A comprehensive guide detailing best practices for achieving research transparency and reproducibility, especially for HCI and related scientific studies. It outlines three critical layers of documentation—Protocol, Analysis, and Data—to ensure that studies can be reliably verified and built upon by the academic community.