Skill UI

Yara Authoring helps security teams write precise YARA rules for threat detection and malware hunting by guiding string/tag management and metadata handling so signature creation keeps pace with investigations.

This skill performs comprehensive static analysis of Android APK malware. It utilizes industry-standard tools like androguard and apktool to decompile resources, inspect manifests, and identify dangerous permissions, obfuscated code patterns, dynamic loading mechanisms, and suspicious API calls without executing the sample. It is essential for security analysts, SOC teams, and threat hunters building detection rules or triaging suspicious malware samples.

This tool parses API Gateway access logs from various providers (AWS, Kong, Nginx). It performs statistical analysis using pandas to detect critical security threats such as Broken Object Level Authorization (BOLA/IDOR), credential stuffing, rate limit bypass attempts, and injection vulnerabilities. Ideal for SOC analysts or security engineers investigating API abuse and building advanced threat detection rules.

This skill provides a comprehensive method for querying advanced threat intelligence using ATT&CK data. It maps the Tactics, Techniques, and Procedures (TTPs) of specific APT groups into MITRE ATT&CK Navigator layers. Users can build multi-layer heatmaps to identify detection gaps, compare threat coverage, and create structured threat-intel reports for defense engineering.

This skill guides users on querying Azure Monitor activity and sign-in logs using KQL to detect sophisticated security threats. It covers identifying suspicious administrative activities, impossible travel scenarios, privilege escalation attempts, and unauthorized resource modifications. Ideal for Security Operations Center (SOC) analysts building advanced threat hunting rules or developing cloud SIEM detections.

Leverage Certificate Transparency (CT) logs via crt.sh and Certstream to proactively monitor for suspicious SSL/TLS certificates. This skill helps detect lookalike domains, unauthorized certificate issuance, and potential phishing infrastructure targeting your organization before attacks launch. Includes querying logic and threat intelligence integration.

A specialized tool designed for incident responders and threat hunters. It extracts critical configuration data—such as C2 server addresses, malleable profiles, watermarks, and communication settings—from Cobalt Strike beacon payloads found in PE files or memory dumps. This analysis is crucial for mapping attacker infrastructure and improving defensive detection rules.

This tool parses and analyzes Cobalt Strike Malleable C2 profiles, extracting critical network indicators such as HTTP/DNS transforms, URIs, headers, jitter, and sleep cycles. It is essential for reverse-engineering captured profiles or building robust network detection signatures for threat hunting and incident response.

A deep-dive tool for cybersecurity professionals to analyze malware Command and Control (C2) communication across multiple protocols (HTTP, HTTPS, DNS, custom). It helps reverse-engineer beaconing patterns, decode proprietary protocols, and map threat actor infrastructure, making it crucial for building robust detection signatures and attributing threats.

This skill analyzes DNS query logs to detect sophisticated threats such as data exfiltration via DNS tunneling, Domain Generation Algorithm (DGA) usage, and covert Command and Control (C2) channels. It utilizes advanced techniques like entropy analysis, query volume anomaly detection, and subdomain length analysis within SIEM platforms, helping SOC teams identify threats that bypass traditional network security controls.

This tool parses Kubernetes API server audit logs (JSON lines) to detect critical security events. It specifically targets unauthorized access, secret enumeration, RBAC escalation, privileged pod creation, and shell access (exec/attach). Use it for incident response, threat hunting, or building SIEM detection rules.

This skill enables deep analysis of malware families using the Malpedia API. It allows users to retrieve canonical aliases, associated threat actors, and YARA detection rules, and map complex relationships like loader-payload chains. Ideal for threat intelligence research, incident response, and building automated detection signatures.