Skill UI

This skill automates the process of vulnerability prioritization by querying the FIRST Exploit Prediction Scoring System (EPSS) API. It calculates the real-world probability of a CVE being exploited within 30 days, providing a crucial risk metric that surpasses traditional CVSS severity scoring. Use it for risk-based vulnerability management, allowing security teams to efficiently triage and remediate the most actively threatened vulnerabilities first.

This skill uses the python-gvm library to programmatically deploy and operate Greenbone/OpenVAS vulnerability management. It connects via the Greenbone Management Protocol (GMP) to create scan targets, execute vulnerability scans, and parse complex XML reports into structured, actionable JSON findings. Ideal for automating security assessments, compliance checks, and detailed vulnerability reporting.

This skill provides a comprehensive framework for vulnerability prioritization by combining three crucial data points: CISA's Known Exploited Vulnerabilities (KEV) catalog (confirming real-world exploitation evidence), EPSS scores (predicting exploitation probability), and CVSS metrics (assessing intrinsic severity). It builds a multi-factor prioritization engine to determine the most critical CVEs for immediate remediation, assisting security teams in managing large vulnerability backlogs efficiently.

This skill utilizes the Shodan API to perform comprehensive IP reputation analysis. It enriches IP addresses by identifying open ports, running services, known vulnerabilities (CVEs), and hosting context. It is crucial for threat intelligence enrichment, incident triage, and security assessments, helping security professionals assess the risk level and potential compromise of exposed infrastructure.

A comprehensive solution for performing Operational Technology (OT) vulnerability assessments using the Claroty xDome platform. It automatically discovers assets, correlates vulnerabilities using CVE and ICS-CERT advisories, and calculates risk scores. This method is designed for compliance requirements (e.g., IEC 62443, NERC CIP) and initial asset risk profiling, relying on passive monitoring and safe querying rather than active scanning or penetration testing.

A comprehensive security tool designed to simulate and detect critical software supply chain attacks. It identifies risks such as typosquatting via Levenshtein distance, dependency confusion against private registries, package integrity failures through SHA-256 hash verification, and known vulnerabilities using pip-audit. Essential for security auditing and assessing project dependency risk.

Conducts comprehensive, sector-specific threat landscape assessments by profiling key threat actors, mapping attack vectors, and detailing associated MITRE ATT&CK TTPs (covering financial, healthcare, energy, etc.). Utilizing sophisticated data analysis via Python stacks and integrating real-time threat intelligence feeds (ISAC, CVEs), this tool generates highly actionable intelligence for risk management, security investment prioritization, and high-level board-level reporting on industry exposure.

This comprehensive guide details the process of performing authenticated and unauthenticated vulnerability assessments using Tenable Nessus. It covers everything from advanced scan configuration (port discovery, credentialing, plugin setup) to detailed result analysis, including cross-referencing CVEs and prioritizing remediation based on CVSS scores and exploit availability. Ideal for compliance auditing, penetration testing, and maintaining system patch compliance.

Grype is an open-source vulnerability scanner by Anchore that inspects container images, filesystems, and SBOMs for known CVEs. It leverages Syft-generated Software Bill of Materials (SBOMs) to match packages against multiple databases including NVD, GitHub Advisories, and OS-specific feeds. It is ideal for security assessments, CI/CD integration, and implementing severity-based build gates.

Integrates Aqua Security's Trivy scanner into CI/CD pipelines to perform automated vulnerability scanning on Docker images and related artifacts. It detects OS package CVEs, application dependency issues, and Dockerfile misconfigurations. This ensures that only secure, compliant images can proceed to registry push or production deployment by enforcing strict quality gates.

This powerful tool parses Software Bill of Materials (SBOM) in CycloneDX and SPDX formats. It correlates identified components against the NVD CVE database via API, building dependency graphs and calculating risk scores. It is essential for assessing third-party risk, identifying transitive vulnerability paths, and generating comprehensive compliance reports for supply chain security.

Anndata is a Python package for handling annotated data matrices, storing experimental measurements alongside observation and variable metadata. It supports single-cell genomics analysis, managing h5ad and Zarr files efficiently. Users can read, write, concatenate, and subset data with sparse matrix support. It integrates with the scverse ecosystem including Scanpy and scvi-tools. Ideal for biological data workflows requiring efficient storage and manipulation.