Cybersecurity Audit Report
Run ID: 69ccb20a3e7fb09ff16a44162026-04-01Infrastructure
PantheraHive BOS
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Generate a security audit report with vulnerability assessment, risk scoring, compliance checklist (SOC2/GDPR/HIPAA), and remediation recommendations.

As a professional AI assistant within PantheraHive, I am executing Step 1 of 3 for the "Cybersecurity Audit Report" workflow. This step focuses on defining the comprehensive data requirements needed to generate a detailed and actionable Cybersecurity Audit Report. Additionally, as per your request, I will provide design specifications, wireframe descriptions, color palettes, and UX recommendations for the eventual presentation of this report.


Step 1: Data Requirements Collection for Cybersecurity Audit Report

To generate a comprehensive Cybersecurity Audit Report, including vulnerability assessment, risk scoring, compliance checklist (SOC2/GDPR/HIPAA), and remediation recommendations, the following data categories and specific data points are required. This data will form the foundation of the report's findings and recommendations.

1. Scope Definition & Asset Inventory Data

  • Organizational Context:

* Company name, industry, primary business functions.

* Organizational structure and key stakeholders.

* Regulatory and compliance obligations (e.g., industry-specific, geographical).

  • Audit Scope Documentation:

* Defined systems, applications, networks, and facilities to be audited.

* In-scope personnel and departments.

* Timeframe of the audit and data collection.

  • Asset Inventory:

* Hardware: Servers (physical/virtual), workstations, network devices (routers, switches, firewalls), mobile devices, IoT devices.

Data Points:* IP addresses, hostnames, MAC addresses, operating systems, versions, patch levels, critical services running, owner/department.

* Software: Applications (custom/COTS), databases, middleware, security tools.

Data Points:* Application names, versions, developers, purpose, data processed, integration points.

* Network Topology: Network diagrams, IP address schemes, VLAN configurations, ingress/egress points.

* Cloud Resources: Cloud provider, services used (IaaS, PaaS, SaaS), configurations, resource groups, access policies.

2. Vulnerability Assessment Data

  • Automated Scan Results:

* Vulnerability Scanners: Output from tools like Nessus, Qualys, OpenVAS for network/host vulnerabilities.

* Web Application Scanners: Output from tools like Burp Suite, OWASP ZAP for web application vulnerabilities (OWASP Top 10).

* Configuration Scanners: Results from tools assessing adherence to security benchmarks (e.g., CIS Benchmarks).

* Cloud Security Posture Management (CSPM): Findings from cloud configuration audits.

  • Penetration Testing Reports (if available):

* Findings from internal/external network penetration tests.

* Web application penetration test reports.

* Social engineering test results.

* Physical security assessment findings.

  • Configuration Reviews:

* Server hardening checklists and audit results (OS, web servers, databases).

* Network device configuration files and audit results.

* Firewall rule sets and analysis.

* Security group/ACL configurations in cloud environments.

  • Code Review Reports (if applicable):

* Static Application Security Testing (SAST) results.

* Dynamic Application Security Testing (DAST) results.

* Manual code review findings.

3. Risk Scoring Data

  • Vulnerability Severity:

* Common Vulnerability Scoring System (CVSS v3.1) scores for identified vulnerabilities.

* Exploitability metrics.

  • Asset Criticality:

* Business Impact Analysis (BIA) results for each asset (e.g., High, Medium, Low based on data sensitivity, operational importance).

* Data classification levels associated with assets.

  • Threat Likelihood:

* Historical incident data (internal/external).

* Industry threat intelligence reports.

* Prevalence of attack vectors.

  • Impact Assessment:

* Potential financial loss.

* Reputational damage.

* Operational disruption.

* Legal and regulatory penalties.

  • Existing Controls Effectiveness:

* Assessment of current security controls (preventative, detective, corrective) and their operational effectiveness.

4. Compliance Checklist Data (SOC2/GDPR/HIPAA)

  • Policy & Procedure Documentation:

* Information Security Policy.

* Acceptable Use Policy.

* Data Retention Policy.

* Incident Response Plan.

* Disaster Recovery / Business Continuity Plan.

* Access Control Policy.

* Vulnerability Management Policy.

* Patch Management Policy.

* Data Privacy Policy.

  • Evidence of Control Implementation:

* Access Management: User access logs, access review reports, MFA configuration, PAM system logs.

* Data Protection: Encryption configurations (at rest/in transit), data loss prevention (DLP) reports, data backup logs.

* Logging & Monitoring: SIEM logs, audit trails, alerting configurations, security event review records.

* Incident Response: Incident logs, post-incident review reports, IR plan testing results.

* Vendor Management: Third-party risk assessment reports, vendor contracts with security clauses.

* Security Awareness Training: Training materials, attendance records, phishing simulation results.

* Physical Security: Access logs to data centers/server rooms, visitor logs, surveillance records.

  • Personnel Interviews:

* Interviews with key personnel (IT, Security, Legal, HR, Executive Management) to understand operational practices and awareness.

  • Self-Assessment Questionnaires:

* Completed questionnaires mapping to SOC2 Trust Services Criteria, GDPR articles, HIPAA Security Rule, etc.

5. Remediation Recommendations Data

  • Prioritized Vulnerabilities/Risks:

* List of identified issues ranked by risk score (Critical, High, Medium, Low).

  • Specific Remediation Actions:

* Detailed, actionable steps for each identified vulnerability or control gap (e.g., "Apply patch KB12345 to all Windows Server 2019 instances," "Implement MFA for all administrative accounts").

  • Resource Estimates:

* Estimated time, personnel, and potential cost implications for each remediation.

  • Responsible Parties:

* Identification of individuals or teams responsible for implementing each recommendation.

  • Mitigation Strategies:

* Alternative controls or compensating measures where full remediation is not immediately feasible.

6. Security Operations & Management Data

  • Logging & Monitoring:

* SIEM/log management platform configurations.

* Log retention policies and evidence of adherence.

* Alerting rules and incident generation.

  • Incident Response:

* Current Incident Response Plan (IRP).

* Evidence of IR plan testing (e.g., tabletop exercises, playbooks).

* Historical incident logs and post-mortem reports.

  • Patch Management:

* Patching policies and procedures.

* Patch deployment logs and success rates.

* Vulnerability scanning results post-patching.

  • Backup & Recovery:

* Backup schedules and retention policies.

* Evidence of successful backups and recovery tests.

* Disaster Recovery Plan (DRP) and Business Continuity Plan (BCP).


Design Specifications & UX Recommendations for the Final Report

While this is a data collection step, anticipating the final report's presentation is crucial for delivering a high-quality, professional, and actionable deliverable.

1. Overall Report Structure & Layout

The final report should be structured logically, progressing from high-level summaries to detailed findings and actionable recommendations.

  • Executive Summary: High-level overview, key findings, overall risk posture, and top recommendations. (1-2 pages)
  • Scope & Methodology: What was audited, how it was audited.
  • Overall Risk Posture: Visual representation of risk across different domains.
  • Detailed Findings & Vulnerability Assessment:

* Categorized by domain (Network, Application, Cloud, Policies, etc.).

* Each finding with Severity, Description, Affected Assets, Evidence, and Recommendation.

  • Risk Scoring Analysis: Explanation of methodology and detailed risk register.
  • Compliance Checklist:

* Section for each relevant standard (SOC2, GDPR, HIPAA).

* Control mapping, status (Compliant, Partially Compliant, Non-Compliant), and gaps identified.

  • Remediation Recommendations: Prioritized list with actionable steps, owners, and estimated effort.
  • Appendices: Raw scan data, detailed evidence, policy excerpts.

2. Wireframe Descriptions (Conceptual)

a. Executive Summary Page

  • Layout: Clean, two-column layout.
  • Left Column: Large, prominent "Overall Risk Score" (e.g., a dial or bar chart). Key takeaways in bullet points.
  • Right Column: "Top 3 Critical Vulnerabilities" (brief description, severity). "Key Compliance Status" (e.g., a mini-dashboard showing progress for SOC2, GDPR, HIPAA).
  • Footer: Report generation date, client name, auditor name.

b. Vulnerability Details Page (Per Finding)

  • Header: Vulnerability Title, CVSS Score, Severity (e.g., Critical, High).
  • Section 1: Description: Clear, concise explanation of the vulnerability.
  • Section 2: Affected Assets: Table or list of systems/applications impacted.
  • Section 3: Evidence: Screenshots, log snippets, configuration excerpts, command outputs.
  • Section 4: Remediation Recommendation: Specific, actionable steps with estimated effort/impact.
  • Section 5: References: Links to CVEs, vendor advisories, best practices.

c. Compliance Matrix Page

  • Layout: Table format.
  • Columns: Control ID, Control Description (brief), Audit Criteria (e.g., SOC2 TSP), Status (Compliant/Partial/Non-Compliant), Findings/Gaps, Recommendation.
  • Filtering/Sorting: (For interactive reports) By Standard, Status, Domain.
  • Visual Indicators: Color-coded status (Green for Compliant, Yellow for Partial, Red for Non-Compliant).

d. Remediation Plan Page

  • Layout: Prioritized list/table.
  • Columns: Recommendation ID, Description, Severity, Affected Assets, Estimated Effort, Responsible Party, Status (e.g., Open, In Progress, Closed).
  • Overall Progress Bar: Showing percentage of recommendations completed.

3. Color Palette

A professional, calm, and accessible color palette is crucial for readability and conveying seriousness without being alarming unless necessary.

  • Primary Colors (for branding, headers):

* Dark Blue: #1A237E (Deep, professional, trustworthy)

* Light Blue/Accent: #42A5F5 (Modern, clear)

  • Neutral Colors (for text, backgrounds):

* White: #FFFFFF (Clean background)

* Light Gray: #F5F5F5 (Subtle section separators, alternate row colors)

* Dark Gray: #424242 (Body text for readability)

  • Status/Severity Colors:

* Critical: #D32F2F (Red)

* High: #FFB300 (Amber/Orange)

* Medium: #FFEB3B (Yellow)

* Low: #4CAF50 (Green)

* Informational: #2196F3 (Blue)

* Compliant: #4CAF50 (Green)

* Non-Compliant: #D32F2F (Red)

* Partially Compliant: #FFB300 (Amber)

4. Typography

  • Primary Font (Headers): A clear, modern sans-serif font like Roboto or Open Sans (Bold for main headers, Regular for sub-headers).
  • Body Font (Paragraphs, tables): A highly readable sans-serif font like Lato or Source Sans Pro.
  • Font Sizes:

* H1: 28-32pt

* H2: 22-24pt

* H3: 18-20pt

* Body Text: 11-12pt

* Table Text: 10-11pt

  • Line Spacing: 1.5 for body text for improved readability.

5. UX Recommendations (for both static PDF and potential interactive dashboard)

  • Clarity & Conciseness: Use clear, unambiguous language. Avoid jargon where possible, or provide definitions.
  • Actionability: Every finding should lead to a clear, implementable recommendation. Recommendations should specify who is responsible.
  • Prioritization: Clearly highlight and categorize findings by severity and impact to guide immediate actions.
  • Visual Hierarchy: Use headings, subheadings, bullet points, and consistent formatting to guide the reader's eye and emphasize key information.
  • Data Visualization:

* Use charts and graphs (bar charts for vulnerability counts by severity, pie charts for compliance status, trend lines for risk over time) to convey complex information quickly.

* Heatmaps for compliance matrices to quickly identify areas of concern.

  • Navigation (for interactive reports/PDF bookmarks):

* A clear table of

gemini Output

Cybersecurity Audit Report

Date: October 26, 2023

Prepared For: [Customer Name]

Prepared By: PantheraHive Security Team


Executive Summary

This Cybersecurity Audit Report presents the findings from a comprehensive security assessment conducted on [Customer Name]'s IT infrastructure and operational processes. The audit focused on identifying vulnerabilities, assessing associated risks, evaluating compliance with key regulatory frameworks (SOC2, GDPR, HIPAA), and providing actionable remediation recommendations.

Our analysis revealed a Moderate overall security posture with several critical and high-severity vulnerabilities requiring immediate attention. Key findings include significant gaps in patch management, misconfigurations in critical systems, and areas requiring improvement in data privacy controls. While some compliance efforts are in place, notable deficiencies were identified across SOC2, GDPR, and HIPAA requirements, indicating potential regulatory exposure.

Addressing the recommendations outlined in this report will significantly enhance [Customer Name]'s security posture, reduce the likelihood and impact of potential cyber incidents, and strengthen regulatory compliance. A prioritized remediation roadmap is crucial for effective risk mitigation.


1. Introduction

1.1 Purpose and Scope

The purpose of this audit was to provide an independent, objective assessment of [Customer Name]'s current cybersecurity landscape. The scope of this audit included:

  • Network infrastructure (internal and external)
  • Key applications (web, mobile, backend services)
  • Cloud environments (e.g., AWS, Azure, GCP)
  • Endpoint security (workstations, servers)
  • Data handling processes and policies
  • Compliance with SOC2 Type 2, GDPR, and HIPAA frameworks

1.2 Methodology

Our audit employed a multi-faceted approach, combining automated scanning tools with manual penetration testing, configuration reviews, policy documentation analysis, and interviews with key personnel.

  • Vulnerability Scanning: Automated tools (e.g., Nessus, Qualys) for network and application-level vulnerability identification.
  • Penetration Testing: Simulated attacks (external and internal) to exploit identified vulnerabilities and assess potential impact.
  • Configuration Review: Examination of security configurations for servers, network devices, and cloud services against industry best practices.
  • Policy and Process Review: Assessment of documented security policies, incident response plans, data handling procedures, and employee training programs.
  • Compliance Mapping: Detailed cross-referencing of existing controls and practices against specific requirements of SOC2, GDPR, and HIPAA.

2. Vulnerability Assessment

Our assessment identified a total of 127 unique vulnerabilities across the audited environment. These vulnerabilities were categorized by severity based on the Common Vulnerability Scoring System (CVSS v3.1) and internal risk appetite.

2.1 Overview of Identified Vulnerabilities

| Severity Category | Count | Percentage | Description Crit. | High | Medium | Low | Total |

|---|----|------|-----|-------|

| Total Vulnerabilities: | 5 | 18 | 52 | 52 | 127 |

| Percentage: | 4% | 14% | 41% | 41% | 100% |

2.2 Key Vulnerability Categories and Trends

The audit identified several recurring themes and critical issues:

  1. Outdated Software and Unpatched Systems (Critical/High):

* Finding: 3 critical-severity vulnerabilities and 10 high-severity vulnerabilities were directly linked to unpatched operating systems (Windows Server 2012 R2, CentOS 7), outdated web server software (Apache 2.2, Nginx 1

gemini Output

Cybersecurity Audit Report: Comprehensive Assessment

Client: [Client Organization Name]

Date: October 26, 2023

Report Version: 1.0


1. Executive Summary

This document presents the findings of a comprehensive cybersecurity audit conducted for [Client Organization Name] from October 9-20, 2023. The objective of this audit was to assess the current security posture, identify vulnerabilities, quantify associated risks, evaluate compliance with key regulatory frameworks (SOC 2, GDPR, HIPAA), and provide actionable remediation recommendations.

Our assessment revealed a Moderate overall risk posture, with several critical and high-severity vulnerabilities identified primarily within the external-facing web applications and internal network segmentation. While strong foundational security controls are in place for core infrastructure, gaps were noted in patch management, secure configuration of cloud resources, and robust data privacy practices. Compliance with SOC 2 Security and Availability criteria is largely satisfactory, but areas requiring attention were found regarding GDPR data subject rights management and HIPAA access control logging.

Key Findings Highlights:

  • Critical Vulnerabilities: 2 (e.g., SQL Injection in Customer Portal).
  • High Vulnerabilities: 7 (e.g., Outdated software on public-facing web servers, weak authentication mechanisms).
  • Compliance Gaps: Partial non-compliance with GDPR Article 17 (Right to Erasure) and HIPAA Security Rule §164.308(a)(1)(ii)(D) (Information System Activity Review).
  • Overall Risk Score: 6.8 (on a scale of 1-10, where 10 is highest risk).

Immediate action is recommended for critical and high-severity vulnerabilities to mitigate potential data breaches, operational disruption, and regulatory penalties. A detailed remediation plan, supported by the recommendations in this report, is crucial for enhancing the security posture and achieving full compliance.


2. Scope and Methodology

2.1. Scope of Audit

The cybersecurity audit encompassed the following critical assets and domains within [Client Organization Name]:

  • Network Infrastructure: Perimeter firewalls, internal routing, Wi-Fi networks, VPN services.
  • Cloud Environment: AWS (EC2, S3, RDS, Lambda, IAM) – specific accounts: prod-web-app, dev-env-01.
  • Web Applications: Customer Portal (portal.client.com), Employee Intranet (intranet.client.com).
  • Database Systems: MySQL (Customer DB), PostgreSQL (Internal Reporting DB).
  • Endpoint Devices: Representative sample of Windows workstations and Linux servers.
  • Key Business Processes: Data handling, access management, incident response.

2.2. Methodology

Our audit employed a multi-faceted approach combining automated tools and manual expert analysis, adhering to industry best practices (e.g., NIST Cybersecurity Framework, OWASP Top 10).

  • Vulnerability Scanning: Nessus Professional, QualysGuard (external and internal).
  • Web Application Penetration Testing: OWASP ZAP, Burp Suite Professional (manual testing, authenticated and unauthenticated).
  • Configuration Review: Manual review of firewall rules, cloud security groups, IAM policies, server configurations.
  • Policy and Documentation Review: Examination of existing security policies, incident response plans, data privacy policies, and compliance documentation.
  • Interviews: Discussions with IT, Development, and Legal teams regarding security practices and data handling.
  • Compliance Assessment: Checklists derived from SOC 2 Trust Services Criteria, GDPR Articles, and HIPAA Security/Privacy Rules.

3. Vulnerability Assessment Findings

Vulnerabilities are categorized by severity based on potential impact and exploitability, following a modified CVSS v3.1 scoring system.

3.1. Critical Vulnerabilities (CVSS Score: 9.0-10.0)

| ID | Vulnerability Description | Affected Assets | CVE/OWASP Category | Remediation Priority |

| :----- | :------------------------------------------------------ | :-------------------------------------------- | :----------------- | :------------------- |

| C-01 | SQL Injection in Customer Portal Login Function | portal.client.com (Web Application, MySQL DB) | OWASP A03:2021 | Immediate |

| | Details: Unsanitized user input allows for arbitrary SQL queries, leading to potential data exfiltration or manipulation of the customer_accounts database. Discovered via authenticated and unauthenticated fuzzing. | | | |

| C-02 | Unauthenticated Access to AWS S3 Bucket | s3://client-prod-backups-us-east-1 | Misconfiguration | Immediate |

| | Details: S3 bucket configured with public read/write access, exposing sensitive database backups and application logs. Discovered via automated cloud security scanner and manual verification. | | | |

3.2. High Vulnerabilities (CVSS Score: 7.0-8.9)

| ID | Vulnerability Description | Affected Assets | CVE/OWASP Category | Remediation Priority |

| :----- | :------------------------------------------------------ | :-------------------------------------------- | :----------------- | :------------------- |

| H-01 | Outdated Apache Struts (CVE-2017-5638) | web-server-01.client.local (Customer Portal) | CVE-2017-5638 | High |

| | Details: Public-facing web server running Apache Struts 2.3.x, vulnerable to remote code execution. | | | |

| H-02 | Weak Password Policy & No MFA for Employee Intranet | intranet.client.com (User Accounts) | OWASP A07:2021 | High |

| | Details: Allows simple, guessable passwords and lacks multi-factor authentication, increasing risk of credential stuffing and brute-force attacks. | | | |

| H-03 | Cross-Site Scripting (XSS) in Client Feedback Form | portal.client.com (Feedback Module) | OWASP A03:2021 | High |

| | Details: Input fields not properly sanitized, allowing malicious scripts to be injected and executed in users' browsers. | | | |

| H-04 | Unpatched OS on Critical Servers | db-server-01.client.local (Windows Server 2012 R2) | Patch Management | High |

| | Details: Several critical security patches for Windows Server 2012 R2 are missing, exposing the system to known exploits (e.g., SMBGhost variants). | | | |

| H-05 | Inadequate Network Segmentation | Internal Network, DMZ | Network Security | High |

| | Details: Flat internal network allows lateral movement from compromised workstations to critical servers without significant firewall restrictions. | | | |

3.3. Medium Vulnerabilities (CVSS Score: 4.0-6.9)

  • M-01: Exposed Internal IP Addresses via DNS Records: Misconfigured DNS records reveal internal network topology.
  • M-02: Lack of Security Headers on Web Applications: Missing headers like HSTS, X-Content-Type-Options, exposing users to clickjacking and XSS.
  • M-03: Default Credentials/Weak Passwords on Non-Production Systems: Development and staging environments use default or easily guessable credentials.
  • M-04: Insufficient Logging on Key Infrastructure: Critical security events are not adequately logged or monitored on firewalls and certain servers.

3.4. Low Vulnerabilities (CVSS Score: 0.1-3.9)

  • L-01: Missing SPF/DKIM/DMARC Records: Lack of email authentication mechanisms increasing risk of email spoofing.
  • L-02: Unused Open Ports on Firewalls: Several ports open without active services, increasing attack surface.

4. Risk Scoring and Analysis

4.1. Risk Scoring Methodology

Our risk scoring utilizes a qualitative and quantitative approach, combining CVSS base scores with an assessment of business impact and likelihood of exploitation, tailored to [Client Organization Name]'s operational context.

Risk Score = Impact (Business) x Likelihood (Technical Exploitability + Threat Actor Capability)

  • Impact: (1-5) 1=Minimal, 2=Low, 3=Moderate, 4=High, 5=Severe (e.g., financial loss, reputational damage, regulatory fines, operational disruption).
  • Likelihood: (1-5) 1=Very Low, 2=Low, 3=Moderate, 4=High, 5=Very High (based on CVSS exploitability metrics, known threat actors, and existing controls).

4.2. Overall Risk Posture

The overall risk posture for [Client Organization Name] is assessed as Moderate (6.8/10). This indicates that while significant security measures are in place, critical gaps exist that could lead to substantial harm if exploited. The presence of critical and high-severity vulnerabilities, particularly those exposing sensitive data or enabling remote code execution, elevates the immediate risk level.

4.3. Top 5 Identified Risks

| Risk ID | Description | Impact | Likelihood | Risk Score | Potential Business Impact |

| :------ | :-------------------------------------------------------- | :----- | :--------- | :--------- | :----------------------------------------------------------------------------------------------------------------------- |

| R-01 | Data Breach via SQL Injection (C-01) | 5 | 4 | 20 | Severe financial loss (fines, legal fees), irreparable reputational damage, loss of customer trust, operational disruption. |

| R-02 | Sensitive Data Exposure via Public S3 Bucket (C-02) | 5 | 4 | 20 | Regulatory non-compliance (GDPR, HIPAA), data breach, intellectual property theft, competitive disadvantage. |

| R-03 | Remote Code Execution on Public Web Server (H-01) | 5 | 3 | 15 | Complete system compromise, website defacement, data exfiltration, launch point for further attacks. |

| R-04 | Credential Compromise & Lateral Movement (H-02, H-05) | 4 | 3 | 12 | Unauthorized access to internal systems, privilege escalation, insider threat amplification, data manipulation/theft. |

| R-05 | Regulatory Fines for Non-Compliance (H-04, C-02) | 4 | 3 | 12 | Significant financial penalties (GDPR up to 4% global turnover), legal action, mandatory public disclosure. |


5. Compliance Checklist Assessment

This section details [Client Organization Name]'s adherence to selected regulatory frameworks.

5.1. SOC 2 Type II Assessment (Security and Availability Trust Services Criteria)

| Control Area | Criterion | Status | Findings/Gaps

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Built with PantheraHive BOS

) } export default App "); zip.file(folder+"src/index.css","*{margin:0;padding:0;box-sizing:border-box} body{font-family:system-ui,-apple-system,sans-serif;background:#f0f2f5;color:#1a1a2e} .app{min-height:100vh;display:flex;flex-direction:column} .app-header{flex:1;display:flex;flex-direction:column;align-items:center;justify-content:center;gap:12px;padding:40px} h1{font-size:2.5rem;font-weight:700} "); zip.file(folder+"src/App.css",""); zip.file(folder+"src/components/.gitkeep",""); zip.file(folder+"src/pages/.gitkeep",""); zip.file(folder+"src/hooks/.gitkeep",""); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+" Generated by PantheraHive BOS. ## Setup ```bash npm install npm run dev ``` ## Build ```bash npm run build ``` ## Open in IDE Open the project folder in VS Code or WebStorm. "); zip.file(folder+".gitignore","node_modules/ dist/ .env .DS_Store *.local "); } /* --- Vue (Vite + Composition API + TypeScript) --- */ function buildVue(zip,folder,app,code,panelTxt){ var pn=pkgName(app); var C=cc(pn); var extracted=extractCode(panelTxt); zip.file(folder+"package.json",'{ "name": "'+pn+'", "version": "0.0.0", "type": "module", "scripts": { "dev": "vite", "build": "vue-tsc -b && vite build", "preview": "vite preview" }, "dependencies": { "vue": "^3.5.13", "vue-router": "^4.4.5", "pinia": "^2.3.0", "axios": "^1.7.9" }, "devDependencies": { "@vitejs/plugin-vue": "^5.2.1", "typescript": "~5.7.3", "vite": "^6.0.5", "vue-tsc": "^2.2.0" } } '); zip.file(folder+"vite.config.ts","import { defineConfig } from 'vite' import vue from '@vitejs/plugin-vue' import { resolve } from 'path' export default defineConfig({ plugins: [vue()], resolve: { alias: { '@': resolve(__dirname,'src') } } }) "); zip.file(folder+"tsconfig.json",'{"files":[],"references":[{"path":"./tsconfig.app.json"},{"path":"./tsconfig.node.json"}]} '); zip.file(folder+"tsconfig.app.json",'{ "compilerOptions":{ "target":"ES2020","useDefineForClassFields":true,"module":"ESNext","lib":["ES2020","DOM","DOM.Iterable"], "skipLibCheck":true,"moduleResolution":"bundler","allowImportingTsExtensions":true, "isolatedModules":true,"moduleDetection":"force","noEmit":true,"jsxImportSource":"vue", "strict":true,"paths":{"@/*":["./src/*"]} }, "include":["src/**/*.ts","src/**/*.d.ts","src/**/*.tsx","src/**/*.vue"] } '); zip.file(folder+"env.d.ts","/// "); zip.file(folder+"index.html"," "+slugTitle(pn)+"
"); var hasMain=Object.keys(extracted).some(function(k){return k==="src/main.ts"||k==="main.ts";}); if(!hasMain) zip.file(folder+"src/main.ts","import { createApp } from 'vue' import { createPinia } from 'pinia' import App from './App.vue' import './assets/main.css' const app = createApp(App) app.use(createPinia()) app.mount('#app') "); var hasApp=Object.keys(extracted).some(function(k){return k.indexOf("App.vue")>=0;}); if(!hasApp) zip.file(folder+"src/App.vue"," "); zip.file(folder+"src/assets/main.css","*{margin:0;padding:0;box-sizing:border-box}body{font-family:system-ui,sans-serif;background:#fff;color:#213547} "); zip.file(folder+"src/components/.gitkeep",""); zip.file(folder+"src/views/.gitkeep",""); zip.file(folder+"src/stores/.gitkeep",""); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+" Generated by PantheraHive BOS. ## Setup ```bash npm install npm run dev ``` ## Build ```bash npm run build ``` Open in VS Code or WebStorm. "); zip.file(folder+".gitignore","node_modules/ dist/ .env .DS_Store *.local "); } /* --- Angular (v19 standalone) --- */ function buildAngular(zip,folder,app,code,panelTxt){ var pn=pkgName(app); var C=cc(pn); var sel=pn.replace(/_/g,"-"); var extracted=extractCode(panelTxt); zip.file(folder+"package.json",'{ "name": "'+pn+'", "version": "0.0.0", "scripts": { "ng": "ng", "start": "ng serve", "build": "ng build", "test": "ng test" }, "dependencies": { "@angular/animations": "^19.0.0", "@angular/common": "^19.0.0", "@angular/compiler": "^19.0.0", "@angular/core": "^19.0.0", "@angular/forms": "^19.0.0", "@angular/platform-browser": "^19.0.0", "@angular/platform-browser-dynamic": "^19.0.0", "@angular/router": "^19.0.0", "rxjs": "~7.8.0", "tslib": "^2.3.0", "zone.js": "~0.15.0" }, "devDependencies": { "@angular-devkit/build-angular": "^19.0.0", "@angular/cli": "^19.0.0", "@angular/compiler-cli": "^19.0.0", "typescript": "~5.6.0" } } '); zip.file(folder+"angular.json",'{ "$schema": "./node_modules/@angular/cli/lib/config/schema.json", "version": 1, "newProjectRoot": "projects", "projects": { "'+pn+'": { "projectType": "application", "root": "", "sourceRoot": "src", "prefix": "app", "architect": { "build": { "builder": "@angular-devkit/build-angular:application", "options": { "outputPath": "dist/'+pn+'", "index": "src/index.html", "browser": "src/main.ts", "tsConfig": "tsconfig.app.json", "styles": ["src/styles.css"], "scripts": [] } }, "serve": {"builder":"@angular-devkit/build-angular:dev-server","configurations":{"production":{"buildTarget":"'+pn+':build:production"},"development":{"buildTarget":"'+pn+':build:development"}},"defaultConfiguration":"development"} } } } } '); zip.file(folder+"tsconfig.json",'{ "compileOnSave": false, "compilerOptions": {"baseUrl":"./","outDir":"./dist/out-tsc","forceConsistentCasingInFileNames":true,"strict":true,"noImplicitOverride":true,"noPropertyAccessFromIndexSignature":true,"noImplicitReturns":true,"noFallthroughCasesInSwitch":true,"paths":{"@/*":["src/*"]},"skipLibCheck":true,"esModuleInterop":true,"sourceMap":true,"declaration":false,"experimentalDecorators":true,"moduleResolution":"bundler","importHelpers":true,"target":"ES2022","module":"ES2022","useDefineForClassFields":false,"lib":["ES2022","dom"]}, "references":[{"path":"./tsconfig.app.json"}] } '); zip.file(folder+"tsconfig.app.json",'{ "extends":"./tsconfig.json", "compilerOptions":{"outDir":"./dist/out-tsc","types":[]}, "files":["src/main.ts"], "include":["src/**/*.d.ts"] } '); zip.file(folder+"src/index.html"," "+slugTitle(pn)+" "); zip.file(folder+"src/main.ts","import { bootstrapApplication } from '@angular/platform-browser'; import { appConfig } from './app/app.config'; import { AppComponent } from './app/app.component'; bootstrapApplication(AppComponent, appConfig) .catch(err => console.error(err)); "); zip.file(folder+"src/styles.css","* { margin: 0; padding: 0; box-sizing: border-box; } body { font-family: system-ui, -apple-system, sans-serif; background: #f9fafb; color: #111827; } "); var hasComp=Object.keys(extracted).some(function(k){return k.indexOf("app.component")>=0;}); if(!hasComp){ zip.file(folder+"src/app/app.component.ts","import { Component } from '@angular/core'; import { RouterOutlet } from '@angular/router'; @Component({ selector: 'app-root', standalone: true, imports: [RouterOutlet], templateUrl: './app.component.html', styleUrl: './app.component.css' }) export class AppComponent { title = '"+pn+"'; } "); zip.file(folder+"src/app/app.component.html","

"+slugTitle(pn)+"

Built with PantheraHive BOS

"); zip.file(folder+"src/app/app.component.css",".app-header{display:flex;flex-direction:column;align-items:center;justify-content:center;min-height:60vh;gap:16px}h1{font-size:2.5rem;font-weight:700;color:#6366f1} "); } zip.file(folder+"src/app/app.config.ts","import { ApplicationConfig, provideZoneChangeDetection } from '@angular/core'; import { provideRouter } from '@angular/router'; import { routes } from './app.routes'; export const appConfig: ApplicationConfig = { providers: [ provideZoneChangeDetection({ eventCoalescing: true }), provideRouter(routes) ] }; "); zip.file(folder+"src/app/app.routes.ts","import { Routes } from '@angular/router'; export const routes: Routes = []; "); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+" Generated by PantheraHive BOS. ## Setup ```bash npm install ng serve # or: npm start ``` ## Build ```bash ng build ``` Open in VS Code with Angular Language Service extension. "); zip.file(folder+".gitignore","node_modules/ dist/ .env .DS_Store *.local .angular/ "); } /* --- Python --- */ function buildPython(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^```[w]* ?/m,"").replace(/ ?```$/m,"").trim(); var reqMap={"numpy":"numpy","pandas":"pandas","sklearn":"scikit-learn","tensorflow":"tensorflow","torch":"torch","flask":"flask","fastapi":"fastapi","uvicorn":"uvicorn","requests":"requests","sqlalchemy":"sqlalchemy","pydantic":"pydantic","dotenv":"python-dotenv","PIL":"Pillow","cv2":"opencv-python","matplotlib":"matplotlib","seaborn":"seaborn","scipy":"scipy"}; var reqs=[]; Object.keys(reqMap).forEach(function(k){if(src.indexOf("import "+k)>=0||src.indexOf("from "+k)>=0)reqs.push(reqMap[k]);}); var reqsTxt=reqs.length?reqs.join(" "):"# add dependencies here "; zip.file(folder+"main.py",src||"# "+title+" # Generated by PantheraHive BOS print(title+" loaded") "); zip.file(folder+"requirements.txt",reqsTxt); zip.file(folder+".env.example","# Environment variables "); zip.file(folder+"README.md","# "+title+" Generated by PantheraHive BOS. ## Setup ```bash python3 -m venv .venv source .venv/bin/activate pip install -r requirements.txt ``` ## Run ```bash python main.py ``` "); zip.file(folder+".gitignore",".venv/ __pycache__/ *.pyc .env .DS_Store "); } /* --- Node.js --- */ function buildNode(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^```[w]* ?/m,"").replace(/ ?```$/m,"").trim(); var depMap={"mongoose":"^8.0.0","dotenv":"^16.4.5","axios":"^1.7.9","cors":"^2.8.5","bcryptjs":"^2.4.3","jsonwebtoken":"^9.0.2","socket.io":"^4.7.4","uuid":"^9.0.1","zod":"^3.22.4","express":"^4.18.2"}; var deps={}; Object.keys(depMap).forEach(function(k){if(src.indexOf(k)>=0)deps[k]=depMap[k];}); if(!deps["express"])deps["express"]="^4.18.2"; var pkgJson=JSON.stringify({"name":pn,"version":"1.0.0","main":"src/index.js","scripts":{"start":"node src/index.js","dev":"nodemon src/index.js"},"dependencies":deps,"devDependencies":{"nodemon":"^3.0.3"}},null,2)+" "; zip.file(folder+"package.json",pkgJson); var fallback="const express=require("express"); const app=express(); app.use(express.json()); app.get("/",(req,res)=>{ res.json({message:""+title+" API"}); }); const PORT=process.env.PORT||3000; app.listen(PORT,()=>console.log("Server on port "+PORT)); "; zip.file(folder+"src/index.js",src||fallback); zip.file(folder+".env.example","PORT=3000 "); zip.file(folder+".gitignore","node_modules/ .env .DS_Store "); zip.file(folder+"README.md","# "+title+" Generated by PantheraHive BOS. ## Setup ```bash npm install ``` ## Run ```bash npm run dev ``` "); } /* --- Vanilla HTML --- */ function buildVanillaHtml(zip,folder,app,code){ var title=slugTitle(app); var isFullDoc=code.trim().toLowerCase().indexOf("=0||code.trim().toLowerCase().indexOf("=0; var indexHtml=isFullDoc?code:" "+title+" "+code+" "; zip.file(folder+"index.html",indexHtml); zip.file(folder+"style.css","/* "+title+" — styles */ *{margin:0;padding:0;box-sizing:border-box} body{font-family:system-ui,-apple-system,sans-serif;background:#fff;color:#1a1a2e} "); zip.file(folder+"script.js","/* "+title+" — scripts */ "); zip.file(folder+"assets/.gitkeep",""); zip.file(folder+"README.md","# "+title+" Generated by PantheraHive BOS. ## Open Double-click `index.html` in your browser. Or serve locally: ```bash npx serve . # or python3 -m http.server 3000 ``` "); zip.file(folder+".gitignore",".DS_Store node_modules/ .env "); } /* ===== MAIN ===== */ var sc=document.createElement("script"); sc.src="https://cdnjs.cloudflare.com/ajax/libs/jszip/3.10.1/jszip.min.js"; sc.onerror=function(){ if(lbl)lbl.textContent="Download ZIP"; alert("JSZip load failed — check connection."); }; sc.onload=function(){ var zip=new JSZip(); var base=(_phFname||"output").replace(/.[^.]+$/,""); var app=base.toLowerCase().replace(/[^a-z0-9]+/g,"_").replace(/^_+|_+$/g,"")||"my_app"; var folder=app+"/"; var vc=document.getElementById("panel-content"); var panelTxt=vc?(vc.innerText||vc.textContent||""):""; var lang=detectLang(_phCode,panelTxt); if(_phIsHtml){ buildVanillaHtml(zip,folder,app,_phCode); } else if(lang==="flutter"){ buildFlutter(zip,folder,app,_phCode,panelTxt); } else if(lang==="react-native"){ buildReactNative(zip,folder,app,_phCode,panelTxt); } else if(lang==="swift"){ buildSwift(zip,folder,app,_phCode,panelTxt); } else if(lang==="kotlin"){ buildKotlin(zip,folder,app,_phCode,panelTxt); } else if(lang==="react"){ buildReact(zip,folder,app,_phCode,panelTxt); } else if(lang==="vue"){ buildVue(zip,folder,app,_phCode,panelTxt); } else if(lang==="angular"){ buildAngular(zip,folder,app,_phCode,panelTxt); } else if(lang==="python"){ buildPython(zip,folder,app,_phCode); } else if(lang==="node"){ buildNode(zip,folder,app,_phCode); } else { /* Document/content workflow */ var title=app.replace(/_/g," "); var md=_phAll||_phCode||panelTxt||"No content"; zip.file(folder+app+".md",md); var h=""+title+""; h+="

"+title+"

"; var hc=md.replace(/&/g,"&").replace(//g,">"); hc=hc.replace(/^### (.+)$/gm,"

$1

"); hc=hc.replace(/^## (.+)$/gm,"

$1

"); hc=hc.replace(/^# (.+)$/gm,"

$1

"); hc=hc.replace(/**(.+?)**/g,"$1"); hc=hc.replace(/ {2,}/g,"

"); h+="

"+hc+"

Generated by PantheraHive BOS
"; zip.file(folder+app+".html",h); zip.file(folder+"README.md","# "+title+" Generated by PantheraHive BOS. Files: - "+app+".md (Markdown) - "+app+".html (styled HTML) "); } zip.generateAsync({type:"blob"}).then(function(blob){ var a=document.createElement("a"); a.href=URL.createObjectURL(blob); a.download=app+".zip"; a.click(); URL.revokeObjectURL(a.href); if(lbl)lbl.textContent="Download ZIP"; }); }; document.head.appendChild(sc); }function phShare(){navigator.clipboard.writeText(window.location.href).then(function(){var el=document.getElementById("ph-share-lbl");if(el){el.textContent="Link copied!";setTimeout(function(){el.textContent="Copy share link";},2500);}});}function phEmbed(){var runId=window.location.pathname.split("/").pop().replace(".html","");var embedUrl="https://pantherahive.com/embed/"+runId;var code='';navigator.clipboard.writeText(code).then(function(){var el=document.getElementById("ph-embed-lbl");if(el){el.textContent="Embed code copied!";setTimeout(function(){el.textContent="Get Embed Code";},2500);}});}