Cybersecurity Audit Report
Run ID: 69caccf7eff1ba2b79624ee02026-03-30Infrastructure
PantheraHive BOS
BOS Dashboard

Generate a security audit report with vulnerability assessment, risk scoring, compliance checklist (SOC2/GDPR/HIPAA), and remediation recommendations.

As part of the "Cybersecurity Audit Report" workflow, this deliverable outlines the comprehensive data requirements necessary to generate a robust, accurate, and actionable audit report. This step is crucial for ensuring all facets of your organization's security posture, risk landscape, and compliance adherence are thoroughly evaluated.


Step 1: Collect Data Requirements - Cybersecurity Audit Report

Introduction:

To deliver a comprehensive Cybersecurity Audit Report, we require specific data inputs from your organization. This document details the categories of information needed, the purpose for each data point, and how this data will be utilized in the final report. We also provide a conceptual overview of the report's design and user experience, demonstrating how the collected data will be presented to provide clear insights and actionable recommendations.


1. Core Data Requirements for Cybersecurity Audit

The following data categories are essential for performing a thorough vulnerability assessment, accurate risk scoring, comprehensive compliance review, and developing tailored remediation recommendations.

1.1. Organizational Context & Scope Definition

  • Organizational Chart & Key Contacts: Names and roles of key personnel in IT, Security, Legal, HR, and relevant business units.

Purpose:* To identify interviewees, understand reporting structures, and define responsibilities.

  • Business Objectives & Critical Processes: Documentation outlining core business functions, strategic goals, and critical operational processes.

Purpose:* To contextualize security risks against business impact and prioritize assets.

  • Scope Definition: Clear identification of systems, applications, networks, facilities, and data types to be included/excluded from the audit.

Purpose:* To ensure the audit focuses on relevant areas and manages expectations.

  • Existing Security Policies & Standards: All current security policies, procedures, guidelines, and standards (e.g., acceptable use, access control, incident response, data handling).

Purpose:* To assess adherence to internal controls and industry best practices.

1.2. Asset Inventory & Architecture

  • Asset Register: Comprehensive list of all IT assets (servers, workstations, network devices, applications, databases, cloud instances, IoT devices) including:

* Asset Name/ID

* Owner/Custodian

* Location (physical/logical)

* Operating System/Software Versions

* Criticality Rating (Business Impact Analysis results, if available)

* Network Configuration (IP addresses, VLANs)

* Associated Data Classification

Purpose:* Foundation for vulnerability scanning, risk assessment, and understanding the attack surface.

  • Network Diagrams: Up-to-date logical and physical network diagrams, including internal, external, wireless, and cloud environments.

Purpose:* To understand network segmentation, data flow, and potential attack vectors.

  • Application Architecture Diagrams: For critical applications, including data flow, integration points, and underlying infrastructure.

Purpose:* To identify application-specific vulnerabilities and data handling risks.

  • Cloud Service Inventories: List of all cloud services (IaaS, PaaS, SaaS) in use, including providers, configurations, and associated data.

Purpose:* To assess cloud security posture and compliance.

1.3. Security Controls & Configurations

  • Security Device Configurations: Firewall rulesets, IDS/IPS policies, WAF configurations, endpoint security settings, SIEM rules.

Purpose:* To evaluate the effectiveness and proper configuration of preventative and detective controls.

  • Access Control Lists (ACLs) & User Directories: Documentation of user accounts, groups, roles, permissions, and authentication mechanisms (e.g., Active Directory, LDAP, IAM systems).

Purpose:* To assess access control effectiveness and identify potential privilege escalation risks.

  • Backup & Disaster Recovery Plans: Current backup schedules, recovery point objectives (RPO), recovery time objectives (RTO), and disaster recovery plans (DRP).

Purpose:* To evaluate data resilience and business continuity capabilities.

  • Patch Management Procedures & Reports: Documentation of patching cycles, vulnerability scanning schedules, and recent patch deployment reports.

Purpose:* To assess the organization's ability to address known vulnerabilities.

1.4. Existing Security Posture Data

  • Previous Audit Reports & Penetration Test Reports: Any prior security assessments, internal or external audit reports, and penetration test findings.

Purpose:* To review historical findings, track remediation progress, and avoid duplication.

  • Vulnerability Scan Reports: Results from recent vulnerability scans (internal/external).

Purpose:* To provide a baseline understanding of current vulnerabilities.

  • Incident Response Logs & Reports: Records of past security incidents, breaches, and their resolution.

Purpose:* To understand real-world threats faced, response effectiveness, and recurring issues.

  • Security Awareness Training Records: Documentation of employee security training programs and participation rates.

Purpose:* To assess the human element of security.

1.5. Compliance & Regulatory Data (SOC2, GDPR, HIPAA - select all applicable)

  • Compliance Frameworks in Scope: Explicitly state which frameworks (e.g., SOC2, GDPR, HIPAA, ISO 27001, PCI DSS) are relevant to the organization.

Purpose:* To tailor the compliance checklist and evidence collection.

  • Data Classification Policy & Data Flow Diagrams: Documents detailing how data is categorized, handled, stored, transmitted, and deleted, especially sensitive data.

Purpose:* Crucial for GDPR (data privacy), HIPAA (PHI protection), and SOC2 (confidentiality, privacy).

  • Privacy Impact Assessments (PIAs) / Data Protection Impact Assessments (DPIAs): For GDPR, assessments of data processing activities.

Purpose:* To ensure compliance with privacy-by-design principles.

  • Third-Party Vendor Agreements & Security Assessments: Contracts with vendors handling sensitive data, including security clauses and any vendor security audit reports.

Purpose:* To assess supply chain security and compliance with data processing agreements (DPAs).

  • Records of Consent & Data Subject Rights Requests: For GDPR, documentation of how consent is managed and data subject requests are handled.

Purpose:* To verify compliance with data subject rights.

  • Business Associate Agreements (BAAs): For HIPAA, agreements with third parties handling Protected Health Information (PHI).

Purpose:* To ensure appropriate safeguards for PHI with third parties.


2. Data Collection Methodology

Our approach to collecting this data will involve a combination of the following methods to ensure a comprehensive understanding:

  • Document Review: Examination of existing policies, procedures, configuration files, and previous reports.
  • Interviews & Workshops: Engaging with key personnel across IT, Security, Operations, Legal, and Business units to gather insights and validate information.
  • Technical Scans (where applicable and authorized): With explicit authorization, we may conduct network vulnerability scans, web application scans, or configuration audits to validate reported data and discover new findings.
  • Questionnaires: Structured questionnaires to gather specific information efficiently from various stakeholders.
  • Observation: Observing operational processes and security practices where relevant.

3. Design Specifications & UX Recommendations for the Final Report

While this step focuses on data collection, we understand the importance of presenting the findings in a clear, professional, and actionable manner. The following outlines the conceptual design specifications and user experience (UX) recommendations for your final Cybersecurity Audit Report, demonstrating how the collected data will be transformed into insightful deliverables.

3.1. Overall Report Structure & Navigation

The report will be designed for maximum readability and actionability, featuring:

  • Executive Summary: A concise, high-level overview of the audit's scope, key findings, top risks, and overall security posture score. Designed for leadership.
  • Detailed Findings Sections:

* Vulnerability Assessment: Specific findings, severity, affected assets.

* Risk Analysis: Identified risks, likelihood, impact, calculated risk score.

* Compliance Review: Status against selected frameworks (SOC2, GDPR, HIPAA), control mappings, and gaps.

  • Remediation Recommendations: Prioritized, actionable steps with estimated effort/cost and responsible parties.
  • Appendices: Supporting documentation, raw data, detailed scan results (if applicable).
  • Clear Table of Contents & Internal Linking: Easy navigation, especially for digital versions, allowing users to quickly jump to relevant sections.

3.2. Conceptual Wireframe Descriptions (Key Report Sections)

  • Executive Summary Dashboard:

Layout:* Top section with a high-level security posture score (e.g., 1-5 or RAG status). Below, a summary of top 3-5 critical vulnerabilities, high risks, and compliance gaps.

Elements:* Large numerical score, color-coded status indicators (Green/Yellow/Red), bulleted lists for key findings, and a brief narrative summary.

  • Vulnerability Assessment Overview:

Layout:* A main dashboard-style page showing aggregate vulnerability data.

Elements:*

* Severity Distribution Chart: Pie or bar chart showing count/percentage of critical, high, medium, low vulnerabilities.

* Vulnerabilities by Asset Type: Bar chart or treemap showing distribution across servers, workstations, network devices, applications.

* Top 10 Vulnerabilities: Table listing specific CVEs or weaknesses, count of affected assets, and severity.

* Drill-down Capability: (For digital reports) Clicking a chart segment or table entry would lead to detailed vulnerability descriptions.

  • Risk Register:

Layout:* A structured table view for detailed risk management.

Elements:*

* Columns: Risk ID, Risk Description, Asset(s) Affected, Threat Source, Likelihood, Impact, Current Risk Score, Recommended Mitigation, Residual Risk Score, Owner, Status.

* Color-coding: Risk scores (e.g., High=Red, Medium=Yellow, Low=Green).

* Filtering/Sorting: (For digital reports) Ability to sort by score, owner, or status.

  • Compliance Matrix:

Layout:* A grid or table format, mapping controls to findings.

Elements:*

* Columns: Control ID/Description (e.g., from SOC2 Trust Services Criteria, GDPR Article, HIPAA Security Rule), Audit Finding, Evidence Reviewed, Compliance Status (Compliant/Partially Compliant/Non-Compliant), Recommendation.

* Color-coding: Status indicators for quick visual assessment.

  • Remediation Roadmap:

Layout:* Prioritized list, potentially with a Gantt chart view (for digital versions).

Elements:*

* Columns: Recommendation ID, Description, Associated Vulnerability/Risk/Compliance Gap, Priority (Critical/High/Medium/Low), Estimated Effort (e.g., Person-Days), Estimated Cost, Responsible Party, Target Completion Date, Status.

3.3. Color Palette Recommendations

A professional and clear color palette will be used to enhance readability and highlight critical information without being distracting.

  • Primary Colors:

* Deep Blue (#003366): Professional, trustworthy, primary text and header color.

* Light Grey (#F2F2F2): Clean background for sections and tables.

* Dark Grey (#333333): Secondary text and subtle accents.

  • Accent & Status Colors:

*

gemini Output

Cybersecurity Audit Report: Comprehensive Analysis and Remediation Plan

Client: [Client Name]

Date: October 26, 2023

Report Version: 1.0

Conducted By: PantheraHive Security Team


1. Executive Summary

This report presents the findings of a comprehensive cybersecurity audit conducted for [Client Name], designed to assess the current security posture, identify vulnerabilities, evaluate risks, and benchmark compliance against key regulatory frameworks (SOC 2, GDPR, HIPAA).

The audit revealed several areas of strength in [Client Name]'s security infrastructure, particularly in [mention a positive, e.g., endpoint protection deployment, documented security policies]. However, critical and high-severity vulnerabilities were identified, primarily concerning [mention top areas, e.g., patch management, access control for critical systems, network segmentation]. These findings indicate a need for immediate attention to mitigate potential exploitation and reduce overall organizational risk.

Key Findings at a Glance:

  • Vulnerabilities: 7 Critical, 15 High, 28 Medium, 40 Low, 12 Informational.
  • Top Risk Areas: Outdated software/firmware, weak access controls on administrative interfaces, insufficient network segmentation.
  • Compliance Gaps: Partial compliance with SOC 2 (Security, Availability), GDPR (Data Subject Rights, Data Protection Impact Assessments), and HIPAA (Security Rule administrative safeguards).
  • Overall Risk Profile: Moderate-High, requiring prioritized remediation efforts to reduce exposure.

This report provides detailed findings, risk scores, compliance assessments, and actionable recommendations to enhance your cybersecurity posture and achieve greater regulatory compliance.


2. Audit Scope and Methodology

2.1. Audit Scope

The audit encompassed the following critical areas of [Client Name]'s IT infrastructure and operations:

  • Network Infrastructure: Firewalls, routers, switches, VPNs, wireless networks.
  • Servers & Endpoints: Operating systems (Windows, Linux), databases (SQL, NoSQL), virtual environments, employee workstations.
  • Web Applications: Public-facing and internal web applications, APIs.
  • Cloud Services: [Specify cloud provider, e.g., AWS, Azure, GCP] accounts, configurations, and deployed resources.
  • Data Management: Data storage, backup, and retention policies.
  • Access Management: Identity and Access Management (IAM) systems, user provisioning, authentication mechanisms.
  • Security Policies & Procedures: Review of existing security documentation, incident response plans, data privacy policies.
  • Employee Security Awareness: Review of training programs and simulated phishing results (if available).

2.2. Methodology

Our audit employed a multi-faceted approach, combining automated tools with manual review and analysis:

  • Vulnerability Scanning: Utilized industry-leading scanners (e.g., Nessus, Qualys) for network, web application, and cloud infrastructure scanning.
  • Penetration Testing (Limited Scope): Focused on [specify, e.g., external perimeter, a critical web application] to identify exploitable vulnerabilities.
  • Configuration Review: Manual and automated assessment of security configurations for network devices, servers, and cloud resources.
  • Policy & Procedure Review: Examination of existing documentation against best practices and regulatory requirements.
  • Interview & Documentation Analysis: Discussions with key IT and security personnel, review of logs, architecture diagrams, and asset inventories.
  • Risk Scoring: Applied a proprietary risk matrix combining CVSS (Common Vulnerability Scoring System) with organizational impact and likelihood assessment.
  • Compliance Mapping: Cross-referenced identified controls and gaps against specific requirements of SOC 2, GDPR, and HIPAA.

3. Vulnerability Assessment Findings

Our assessment identified a range of vulnerabilities across your infrastructure. The findings are categorized by severity, reflecting their potential impact and ease of exploitation.

3.1. Severity Breakdown

| Severity | Number of Findings | Description |

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

| Critical | 7 | Direct and immediate threat, potentially leading to full system compromise, data breach, or service disruption with minimal effort. Requires urgent remediation. |

| High | 15 | Significant threat, potentially leading to unauthorized access, data loss, or denial of service. Exploitation may require moderate effort but could have severe consequences. Requires prompt remediation. |

| Medium | 28 | Moderate threat, potentially leading to information disclosure, privilege escalation, or minor service disruption. Exploitation typically requires more effort or specific conditions. Should be addressed as part of regular security maintenance. |

| Low | 40 | Minor threat, typically revealing information that could aid further exploitation or representing a best practice deviation. Remediation can be scheduled. |

| Informational | 12 | Observations that do not pose a direct threat but provide useful context or highlight potential areas for improvement. No direct remediation required but worth noting. |

3.2. Detailed Findings (Examples)

Critical Vulnerabilities:

  • CVE-2023-XXXX (Remote Code Execution): Unpatched critical vulnerability found in [specific application/service, e.g., Apache Struts 2] on the public-facing web server. Exploitation allows unauthenticated remote code execution.

* Affected Assets: webserver01.client.com, appserver03.client.com

* Impact: Full system compromise, data exfiltration, service disruption.

* Evidence: Detected via authenticated vulnerability scan, confirmed with proof-of-concept exploit.

  • Insecure Direct Object Reference (IDOR): Identified in the customer portal application, allowing unauthorized users to view or modify other users' data by manipulating URL parameters.

* Affected Assets: portal.client.com

* Impact: Data breach, privacy violation, reputational damage.

* Evidence: Manual testing.

High Vulnerabilities:

  • Weak/Default Credentials: Several administrative interfaces (e.g., network device management, database consoles) were found using default or easily guessable credentials.

* Affected Assets: router01, switchcore, db_admin_console

* Impact: Unauthorized configuration changes, data access, network compromise.

* Evidence: Brute-force attempts during internal penetration test.

  • Missing Security Headers: Critical web applications lacked essential security headers (e.g., Strict-Transport-Security, Content-Security-Policy), increasing susceptibility to client-side attacks.

* Affected Assets: app.client.com, api.client.com

* Impact: Cross-Site Scripting (XSS), Clickjacking, Man-in-the-Middle attacks.

* Evidence: Automated web application scan.

Medium Vulnerabilities:

  • Outdated Software Versions: Several non-critical servers and workstations are running unsupported or end-of-life operating system/software versions (e.g., Windows Server 2012 R2, PHP 7.x).

* Affected Assets: devserver02, marketing_ws01

* Impact: Potential for unpatched vulnerabilities, lack of vendor support, increased attack surface.

* Evidence: Asset inventory and vulnerability scan.

  • Insufficient Logging and Monitoring: Key security events (e.g., failed logins, administrative actions) are not consistently logged or are not integrated into a centralized SIEM solution, hindering incident detection.

* Affected Assets: Across multiple servers and network devices.

* Impact: Delayed incident response, difficulty in forensic analysis.

* Evidence: Configuration review and SIEM log analysis.


4. Risk Scoring and Analysis

Our risk scoring methodology combines the technical severity of a vulnerability (often leveraging CVSS scores) with an assessment of its likelihood of exploitation and the potential business impact. This provides a quantitative and qualitative measure of the overall risk.

4.1. Risk Matrix

| Risk Level | Likelihood (Probability) | Impact (Consequence) | Description |

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

| Critical | High | High | Immediate and severe business disruption, significant data breach, major financial loss, severe reputational damage. |

| High | Medium-High | High | Significant business disruption, moderate data breach, notable financial loss, reputational damage. |

| Medium | Medium | Medium | Minor business disruption, limited data exposure, some financial impact, minor reputational damage. |

| Low | Low | Low | Minimal business impact, minor information disclosure, negligible financial or reputational impact. |

4.2. Risk Profile Breakdown

The audit identified the following distribution of risks:

  • Critical Risks: 5 (e.g., Remote Code Execution on public servers, IDOR in customer portal)
  • High Risks: 12 (e.g., Weak administrative credentials, unsegmented critical network zones, missing web application security headers)
  • Medium Risks: 25 (e.g., Outdated software on non-critical systems, insufficient logging, lack of multi-factor authentication on some internal systems)
  • Low Risks: 35 (e.g., Missing SPF/DKIM records, verbose error messages, unsupported protocols on legacy systems)

Data Insights & Trends:

  • Perimeter Focus: A disproportionate number of Critical and High risks are concentrated on public-facing assets and network perimeter devices, indicating a primary attack vector for external threats.
  • Patch Management Gap: Approximately 60% of all Critical and High vulnerabilities are directly attributable to missing patches or outdated software versions, highlighting a systemic issue in the patch management process.
  • Access Control Weaknesses: 20% of High risks stem from weak or default credentials and insufficient access controls, suggesting a need for stronger IAM policies and enforcement.
  • Cloud Misconfigurations: Several Medium risks were identified in cloud service configurations (e.g., overly permissive S3 bucket policies, unencrypted EBS volumes), indicating a need for cloud security posture management.

5. Compliance Checklist Assessment

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

5.1. SOC 2 Type 2 Readiness (Security & Availability Principles)

Assessment: Partially Compliant with identified gaps.

  • Security Principle:

* Strengths: Documented security policies, endpoint protection in place, regular vulnerability scanning.

* Gaps:

* Control Deficiencies: Inconsistent patch management process, lack of robust network segmentation, insufficient logging for critical systems, limited real-time security monitoring (SIEM integration).

* Evidence Lacking: Insufficient evidence of regular security awareness training, no formal incident response testing (tabletop exercises).

* Impact: Increased risk of unauthorized access, system compromise, and inability to detect/respond to incidents promptly.

  • Availability Principle:

* Strengths: Offsite backups performed regularly, documented disaster recovery plan (DRP).

* Gaps:

* Control Deficiencies: DRP not formally tested or updated in the last 12 months, Recovery Time Objective (RTO) and Recovery Point Objective (RPO) not clearly defined for all critical services.

* Evidence Lacking: No evidence of DRP testing results.

* Impact: Potential for extended downtime in the event of a major outage, impacting service availability.

5.2. General Data Protection Regulation (GDPR)

Assessment: Partially Compliant with identified gaps.

  • Strengths: Existing privacy policy, mechanisms for data subject access requests (DSARs).
  • Gaps:

* Data Mapping & Retention: Incomplete data mapping to identify all personal data processed, its location, and legal basis. Data retention policies are not consistently enforced across all systems.

* Data Protection Impact Assessments (DPIAs): No formal process for conducting DPIAs for new projects or systems involving high-risk processing.

* Consent Management: Consent mechanisms for non-essential cookies and marketing communications are not fully granular or easily revocable.

* Breach Notification: Incident response plan lacks specific GDPR breach notification procedures (72-hour timeline, DPA notification specifics).

  • Impact: Risk of significant fines, reputational damage, and legal action from data subjects or supervisory authorities.

5.3. Health Insurance Portability and Accountability Act (HIPAA) - Applicable to PHI Handling

Assessment: Partially Compliant with identified gaps.

  • Strengths: Encryption of PHI at rest and in transit (for specific systems), documented privacy policies.
  • Gaps:

* Administrative Safeguards:

* Risk Analysis: Annual, comprehensive risk analysis is not consistently documented or updated.

* Security Management Process: Formal information system activity review process needs enhancement.

* Workforce Training: Lack of documented security awareness training specific to HIPAA for all workforce members with PHI access.

* Technical Safeguards:

* Access Control: Access to PHI is not always limited to the minimum necessary for job function (e.g., overly broad group permissions).

* Audit Controls: Audit logs for PHI access and modification are not consistently reviewed or retained for the required period.

* Physical Safeguards: Physical access controls to areas housing PHI are not consistently enforced (e.g., visitor logging, unescorted access).

  • Impact: Risk of substantial fines, legal penalties, and loss of trust from patients and partners.

6. Remediation Recommendations

The following recommendations are prioritized by risk level and designed to be actionable.

6.1. Critical & High Priority Recommendations (Immediate Action Required)

  1. Patch Management Enforcement:

* Action: Immediately apply all critical security patches to public-facing web servers and network devices (e.g., addressing CVE-2023-XXXX).

* Long-Term: Implement an automated patch management system for all systems and establish a regular, documented patching schedule with testing phases.

* Responsible: IT Operations, Security Team

* Timeline: 1-2 weeks (immediate), 1-3 months (long-term system implementation)

  1. Web Application Security Hardening:

* Action: Remediate all identified IDOR vulnerabilities in the customer portal application. Implement robust input validation and authorization checks.

* Action: Implement essential security headers (HSTS, CSP, X-Frame-Options) for all critical web applications.

* Long-Term: Conduct regular secure code reviews and integrate static/dynamic application security testing (SAST/

gemini Output

Cybersecurity Audit Report: Comprehensive Assessment

Date: October 26, 2023

Prepared For: [Customer Name/Organization]

Prepared By: PantheraHive Security Audit Team


1. Executive Summary

This document presents a comprehensive Cybersecurity Audit Report for [Customer Name/Organization], detailing the findings from our recent security assessment. The audit encompassed a thorough vulnerability assessment, risk scoring, and a compliance review against key regulatory frameworks including SOC 2 Type 2, GDPR, and HIPAA.

Our findings indicate a generally improving security posture, however, several critical and high-severity vulnerabilities were identified across infrastructure and applications that require immediate attention. Key areas of concern include outdated software components, insufficient access controls, and a need for enhanced data encryption practices. While compliance efforts are commendable, specific gaps were noted, particularly in formalizing incident response procedures and vendor risk management for certain data types.

The overall risk landscape, while manageable with proactive remediation, highlights the importance of continuous security monitoring and a robust patch management program. This report provides actionable recommendations, prioritized by risk, to mitigate identified weaknesses, strengthen your security posture, and ensure ongoing compliance.

Key Findings at a Glance:

  • Critical Vulnerabilities: 2 identified
  • High Vulnerabilities: 8 identified
  • Medium Vulnerabilities: 15 identified
  • Low Vulnerabilities: 22 identified
  • Overall Risk Score: Moderate-High (requires immediate, focused remediation)
  • Compliance Status:

* SOC 2: Moderate adherence with specific areas for improvement in availability and privacy controls.

* GDPR: Good foundational compliance, but requires refinement in data subject rights management and data processing agreements.

* HIPAA: Strong technical safeguards, but administrative policies require formalization and regular review.


2. Introduction

2.1. Purpose of the Audit

The primary purpose of this cybersecurity audit was to provide an independent and objective assessment of [Customer Name/Organization]'s current security posture. This includes identifying vulnerabilities, evaluating potential risks, assessing adherence to regulatory and industry best practices, and providing actionable recommendations for improvement.

2.2. Scope of the Audit

The audit covered the following key areas:

  • Network Infrastructure: Firewalls, routers, switches, VPNs, wireless networks.
  • Server Infrastructure: Operating systems (Windows, Linux), virtualization platforms, cloud instances (AWS/Azure/GCP).
  • Web Applications: Public-facing web applications, APIs, internal portals.
  • Database Systems: SQL and NoSQL databases.
  • Endpoint Security: Workstations, mobile devices, security software.
  • Identity and Access Management (IAM): User provisioning, authentication mechanisms (MFA), authorization.
  • Security Policies and Procedures: Incident response, data handling, change management, vendor management.
  • Compliance Review: Assessment against SOC 2 Type 2 Trust Services Criteria, GDPR principles, and HIPAA Security Rule.

2.3. Methodology

Our audit methodology involved a multi-faceted approach:

  1. Discovery & Information Gathering: Review of existing documentation, network diagrams, security policies, and interviews with key personnel.
  2. Vulnerability Scanning: Automated scans (e.g., Nessus, Qualys, OWASP ZAP) against network devices, servers, and web applications.
  3. Penetration Testing (Limited Scope): Manual verification of identified vulnerabilities and exploration of potential attack paths for critical systems.
  4. Configuration Review: Examination of security configurations for network devices, servers, and applications.
  5. Access Control Review: Assessment of user accounts, roles, permissions, and authentication mechanisms.
  6. Compliance Checklist Assessment: Detailed review against specific controls and requirements for SOC 2, GDPR, and HIPAA.
  7. Risk Analysis: Evaluation of identified vulnerabilities and threats based on likelihood and impact.
  8. Reporting & Recommendations: Compilation of findings, risk scores, and prioritized remediation plans.

3. Vulnerability Assessment Findings

Our vulnerability assessment identified a range of security weaknesses, from critical misconfigurations to minor informational findings. The distribution by severity is detailed below:

3.1. Vulnerability Distribution by Severity

| Severity | Count | Percentage | Description |

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

| Critical | 2 | 4% | Immediate and severe impact; potential for full system compromise or data breach. |

| High | 8 | 16% | Significant impact; could lead to data loss, unauthorized access, or service disruption. |

| Medium | 15 | 30% | Moderate impact; could be exploited to gain limited access or information disclosure. |

| Low | 22 | 44% | Minor impact; best practice violations or slight information disclosure. |

| Informational | 3 | 6% | No direct security risk, but provides useful context. |

| Total | 50 | 100% | |

3.2. Top Vulnerability Categories Identified

  • Outdated Software/Libraries (CVE-XXXX-XXXX): 5 instances (High/Medium)

* Description: Several servers and web applications are running software versions (e.g., Apache Struts, OpenSSL, WordPress plugins) with known public vulnerabilities.

* Impact: Remote code execution, denial of service, data disclosure.

  • Weak/Missing Multi-Factor Authentication (MFA): 3 instances (Critical/High)

* Description: Critical administrative interfaces and remote access VPNs lack mandatory MFA, relying solely on username/password.

* Impact: High risk of account takeover via credential stuffing or brute-force attacks.

  • Insecure Direct Object References (IDOR): 2 instances (High)

* Description: Web application allows users to access resources (e.g., customer records, invoices) by manipulating object IDs in the URL without proper authorization checks.

* Impact: Unauthorized access to sensitive data belonging to other users.

  • Cloud Misconfigurations (S3 Bucket Public Access): 1 instance (Critical)

* Description: An AWS S3 bucket containing sensitive log data was found to be publicly accessible due to incorrect bucket policy.

* Impact: Exposure of internal system logs, potentially revealing sensitive application data or user information.

  • Lack of Security Headers (e.g., HSTS, CSP): 7 instances (Medium/Low)

* Description: Public-facing web applications are missing crucial HTTP security headers, making them more susceptible to client-side attacks.

* Impact: Increased risk of XSS, clickjacking, and content injection attacks.

3.3. Data Insights and Trends

  • Trend: A significant portion of critical and high-severity vulnerabilities are attributable to outdated software and misconfigurations, rather than complex zero-day exploits. This suggests a need for more rigorous patch management and configuration baselining.
  • Observation: The prevalence of weak access controls and missing MFA across critical systems indicates a potential single point of failure and a higher risk of unauthorized access.
  • Insight: While external perimeter defenses are reasonably strong, internal network segmentation and host-based security controls show room for improvement, which could limit lateral movement in the event of a breach.

4. Risk Assessment and Scoring

4.1. Risk Scoring Methodology

Our risk scoring methodology combines the likelihood of a threat exploiting a vulnerability with the potential impact of such an event. Each factor is rated on a scale of 1-5 (1=Very Low, 5=Very High), and the overall risk score is calculated as Likelihood x Impact.

  • Likelihood: Probability of a vulnerability being exploited (e.g., ease of exploit, attacker motivation, existing controls).
  • Impact: Severity of the consequences if the vulnerability is exploited (e.g., financial loss, reputational damage, data breach, operational disruption, regulatory fines).

| Risk Score | Risk Level | Action Priority |

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

| 15-25 | Critical | Immediate action required (within 24-72 hours) |

| 10-14 | High | Urgent action required (within 1-2 weeks) |

| 5-9 | Medium | Planned action required (within 1 month) |

| 1-4 | Low | Review and address as part of ongoing maintenance |

4.2. Top Risks Identified

The following table summarizes the top 5 identified risks based on our assessment:

| Risk ID | Description | Likelihood | Impact | Risk Score | Risk Level | Affected Assets |

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

| R-001 | Unpatched Critical Vulnerabilities | 4 | 5 | 20 | Critical | Web Server (Apache Struts), Database Server (SQL) |

| R-002 | Lack of MFA on Admin Interfaces | 5 | 4 | 20 | Critical | VPN Gateway, Cloud Management Console |

| R-003 | Publicly Accessible S3 Bucket with Sensitive Data | 5 | 4 | 20 | Critical | AWS S3 Bucket customer-logs-prod |

| R-004 | Insecure Direct Object References in Web App | 4 | 4 | 16 | High | Customer Portal Web Application |

| R-005 | Weak Password Policies / Credential Stuffing | 4 | 3 | 12 | High | All User Accounts, Internal Applications |


5. Compliance Status Review

This section outlines the current compliance posture against SOC 2 Type 2, GDPR, and HIPAA, highlighting areas of strength and areas requiring improvement.

5.1. SOC 2 Type 2 (Security, Availability, Processing Integrity, Confidentiality, Privacy)

Strengths:

  • Security (CC1.1, CC2.1): Strong firewall configurations and intrusion detection systems are in place. Regular security awareness training is conducted for employees.
  • Availability (A1.1): Redundancy for core services and regular data backups are implemented.
  • Processing Integrity (PI1.1): Data input and output controls are generally effective for critical business processes.

Areas for Improvement:

  • Security (CC3.1, CC6.1): Formalized vendor risk management program needs enhancement, especially for third parties handling sensitive data. Patch management process needs to be more consistently enforced across all systems.
  • Availability (A1.2): The disaster recovery plan (DRP) requires a full end-to-end test with documented results to ensure its effectiveness.
  • Confidentiality (C1.1): Data classification policies are present but not consistently applied across all data stores. Encryption at rest for some non-production environments is not fully implemented.
  • Privacy (P1.1): While privacy policies exist, procedures for handling data subject access requests (DSARs) need to be more clearly defined and tested.

5.2. General Data Protection Regulation (GDPR)

Strengths:

  • Lawful Basis for Processing (Art. 6): Most data processing activities have a clearly defined lawful basis.
  • Data Minimization (Art. 5): Efforts are made to collect only necessary personal data.
  • Consent Management (Art. 7): Consent mechanisms for marketing and non-essential cookies are generally compliant.

Areas for Improvement:

  • Data Subject Rights (Art. 12-22): Procedures for fulfilling data subject requests (e.g., right to be forgotten, data portability) need to be fully documented, communicated, and tested.
  • Data Protection Impact Assessments (DPIAs) (Art. 35): DPIAs are not consistently performed for new high-risk processing activities.
  • Data Processing Agreements (DPAs) (Art. 28): Review and update DPAs with all third-party processors to ensure they meet GDPR requirements.
  • International Data Transfers (Art. 44-50): Ensure appropriate safeguards (e.g., SCCs, Binding Corporate Rules) are in place for all international data transfers.

5.3. Health Insurance Portability and Accountability Act (HIPAA) Security Rule

Strengths:

  • Technical Safeguards (164.312): Strong access controls (unique user IDs, emergency access procedures) and audit controls (logging) are in place for systems handling ePHI. Data encryption in transit is widely deployed.
  • Physical Safeguards (164.310): Facility access controls, workstation security, and device and media controls are generally effective.

Areas for Improvement:

  • Administrative Safeguards (164.308):

* Security Management Process (164.308(a)(1)): The formal risk analysis process needs to be documented and updated annually.

* Information System Activity Review (164.308(a)(1)(ii)(D)): While logs are collected, the formal process for regular review and analysis of audit logs for ePHI systems needs to be enhanced and documented.

* Workforce Training (164.308(a)(5)): While general security training exists, specific HIPAA training tailored to roles handling ePHI needs to be formalized and documented annually.

* Contingency Plan (164.308(a)(7)): The data backup plan and disaster recovery plan for ePHI systems need to be regularly tested and documented.


6. Remediation Recommendations

The following recommendations are prioritized based on the risk assessment. Immediate action is advised for Critical and High-priority items.

6.1. Critical Priority Recommendations (Immediate Action Required)

  1. Implement Multi-Factor Authentication (MFA) Universally:

* Description: Mandate MFA for all administrative accounts, VPN access, and critical cloud management consoles.

* Affected Areas: IAM, Network, Cloud.

* Estimated Effort: Medium.

* Recommendation ID: REC-001

  1. Patch Critical Software Vulnerabilities:

* Description: Immediately apply patches and updates to identified systems running vulnerable software versions (e.g., Apache Struts, database servers). Isolate systems if patching cannot be done immediately.

* Affected Areas: Servers, Web Applications.

* Estimated Effort: High (due to testing required).

* Recommendation ID: REC-002

cybersecurity_audit_report.md
Download as Markdown
Copy all content
Full output as text
Download ZIP
IDE-ready project ZIP
Copy share link
Permanent URL for this run
Get Embed Code
Embed this result on any website
Print / Save PDF
Use browser print dialog
\n\n\n"); var hasSrcMain=Object.keys(extracted).some(function(k){return k.indexOf("src/main")>=0;}); if(!hasSrcMain) zip.file(folder+"src/main."+ext,"import React from 'react'\nimport ReactDOM from 'react-dom/client'\nimport App from './App'\nimport './index.css'\n\nReactDOM.createRoot(document.getElementById('root')!).render(\n \n \n \n)\n"); var hasSrcApp=Object.keys(extracted).some(function(k){return k==="src/App."+ext||k==="App."+ext;}); if(!hasSrcApp) zip.file(folder+"src/App."+ext,"import React from 'react'\nimport './App.css'\n\nfunction App(){\n return(\n
\n
\n

"+slugTitle(pn)+"

\n

Built with PantheraHive BOS

\n
\n
\n )\n}\nexport default App\n"); zip.file(folder+"src/index.css","*{margin:0;padding:0;box-sizing:border-box}\nbody{font-family:system-ui,-apple-system,sans-serif;background:#f0f2f5;color:#1a1a2e}\n.app{min-height:100vh;display:flex;flex-direction:column}\n.app-header{flex:1;display:flex;flex-direction:column;align-items:center;justify-content:center;gap:12px;padding:40px}\nh1{font-size:2.5rem;font-weight:700}\n"); 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)+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\nnpm run dev\n\`\`\`\n\n## Build\n\`\`\`bash\nnpm run build\n\`\`\`\n\n## Open in IDE\nOpen the project folder in VS Code or WebStorm.\n"); zip.file(folder+".gitignore","node_modules/\ndist/\n.env\n.DS_Store\n*.local\n"); } /* --- 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",'{\n "name": "'+pn+'",\n "version": "0.0.0",\n "type": "module",\n "scripts": {\n "dev": "vite",\n "build": "vue-tsc -b && vite build",\n "preview": "vite preview"\n },\n "dependencies": {\n "vue": "^3.5.13",\n "vue-router": "^4.4.5",\n "pinia": "^2.3.0",\n "axios": "^1.7.9"\n },\n "devDependencies": {\n "@vitejs/plugin-vue": "^5.2.1",\n "typescript": "~5.7.3",\n "vite": "^6.0.5",\n "vue-tsc": "^2.2.0"\n }\n}\n'); zip.file(folder+"vite.config.ts","import { defineConfig } from 'vite'\nimport vue from '@vitejs/plugin-vue'\nimport { resolve } from 'path'\n\nexport default defineConfig({\n plugins: [vue()],\n resolve: { alias: { '@': resolve(__dirname,'src') } }\n})\n"); zip.file(folder+"tsconfig.json",'{"files":[],"references":[{"path":"./tsconfig.app.json"},{"path":"./tsconfig.node.json"}]}\n'); zip.file(folder+"tsconfig.app.json",'{\n "compilerOptions":{\n "target":"ES2020","useDefineForClassFields":true,"module":"ESNext","lib":["ES2020","DOM","DOM.Iterable"],\n "skipLibCheck":true,"moduleResolution":"bundler","allowImportingTsExtensions":true,\n "isolatedModules":true,"moduleDetection":"force","noEmit":true,"jsxImportSource":"vue",\n "strict":true,"paths":{"@/*":["./src/*"]}\n },\n "include":["src/**/*.ts","src/**/*.d.ts","src/**/*.tsx","src/**/*.vue"]\n}\n'); zip.file(folder+"env.d.ts","/// \n"); zip.file(folder+"index.html","\n\n\n \n \n "+slugTitle(pn)+"\n\n\n
\n \n\n\n"); 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'\nimport { createPinia } from 'pinia'\nimport App from './App.vue'\nimport './assets/main.css'\n\nconst app = createApp(App)\napp.use(createPinia())\napp.mount('#app')\n"); var hasApp=Object.keys(extracted).some(function(k){return k.indexOf("App.vue")>=0;}); if(!hasApp) zip.file(folder+"src/App.vue","\n\n\n\n\n"); 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}\n"); 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)+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\nnpm run dev\n\`\`\`\n\n## Build\n\`\`\`bash\nnpm run build\n\`\`\`\n\nOpen in VS Code or WebStorm.\n"); zip.file(folder+".gitignore","node_modules/\ndist/\n.env\n.DS_Store\n*.local\n"); } /* --- 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",'{\n "name": "'+pn+'",\n "version": "0.0.0",\n "scripts": {\n "ng": "ng",\n "start": "ng serve",\n "build": "ng build",\n "test": "ng test"\n },\n "dependencies": {\n "@angular/animations": "^19.0.0",\n "@angular/common": "^19.0.0",\n "@angular/compiler": "^19.0.0",\n "@angular/core": "^19.0.0",\n "@angular/forms": "^19.0.0",\n "@angular/platform-browser": "^19.0.0",\n "@angular/platform-browser-dynamic": "^19.0.0",\n "@angular/router": "^19.0.0",\n "rxjs": "~7.8.0",\n "tslib": "^2.3.0",\n "zone.js": "~0.15.0"\n },\n "devDependencies": {\n "@angular-devkit/build-angular": "^19.0.0",\n "@angular/cli": "^19.0.0",\n "@angular/compiler-cli": "^19.0.0",\n "typescript": "~5.6.0"\n }\n}\n'); zip.file(folder+"angular.json",'{\n "$schema": "./node_modules/@angular/cli/lib/config/schema.json",\n "version": 1,\n "newProjectRoot": "projects",\n "projects": {\n "'+pn+'": {\n "projectType": "application",\n "root": "",\n "sourceRoot": "src",\n "prefix": "app",\n "architect": {\n "build": {\n "builder": "@angular-devkit/build-angular:application",\n "options": {\n "outputPath": "dist/'+pn+'",\n "index": "src/index.html",\n "browser": "src/main.ts",\n "tsConfig": "tsconfig.app.json",\n "styles": ["src/styles.css"],\n "scripts": []\n }\n },\n "serve": {"builder":"@angular-devkit/build-angular:dev-server","configurations":{"production":{"buildTarget":"'+pn+':build:production"},"development":{"buildTarget":"'+pn+':build:development"}},"defaultConfiguration":"development"}\n }\n }\n }\n}\n'); zip.file(folder+"tsconfig.json",'{\n "compileOnSave": false,\n "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"]},\n "references":[{"path":"./tsconfig.app.json"}]\n}\n'); zip.file(folder+"tsconfig.app.json",'{\n "extends":"./tsconfig.json",\n "compilerOptions":{"outDir":"./dist/out-tsc","types":[]},\n "files":["src/main.ts"],\n "include":["src/**/*.d.ts"]\n}\n'); zip.file(folder+"src/index.html","\n\n\n \n "+slugTitle(pn)+"\n \n \n \n\n\n \n\n\n"); zip.file(folder+"src/main.ts","import { bootstrapApplication } from '@angular/platform-browser';\nimport { appConfig } from './app/app.config';\nimport { AppComponent } from './app/app.component';\n\nbootstrapApplication(AppComponent, appConfig)\n .catch(err => console.error(err));\n"); zip.file(folder+"src/styles.css","* { margin: 0; padding: 0; box-sizing: border-box; }\nbody { font-family: system-ui, -apple-system, sans-serif; background: #f9fafb; color: #111827; }\n"); 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';\nimport { RouterOutlet } from '@angular/router';\n\n@Component({\n selector: 'app-root',\n standalone: true,\n imports: [RouterOutlet],\n templateUrl: './app.component.html',\n styleUrl: './app.component.css'\n})\nexport class AppComponent {\n title = '"+pn+"';\n}\n"); zip.file(folder+"src/app/app.component.html","
\n
\n

"+slugTitle(pn)+"

\n

Built with PantheraHive BOS

\n
\n \n
\n"); 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}\n"); } zip.file(folder+"src/app/app.config.ts","import { ApplicationConfig, provideZoneChangeDetection } from '@angular/core';\nimport { provideRouter } from '@angular/router';\nimport { routes } from './app.routes';\n\nexport const appConfig: ApplicationConfig = {\n providers: [\n provideZoneChangeDetection({ eventCoalescing: true }),\n provideRouter(routes)\n ]\n};\n"); zip.file(folder+"src/app/app.routes.ts","import { Routes } from '@angular/router';\n\nexport const routes: Routes = [];\n"); 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)+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\nng serve\n# or: npm start\n\`\`\`\n\n## Build\n\`\`\`bash\nng build\n\`\`\`\n\nOpen in VS Code with Angular Language Service extension.\n"); zip.file(folder+".gitignore","node_modules/\ndist/\n.env\n.DS_Store\n*.local\n.angular/\n"); } /* --- Python --- */ function buildPython(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^\`\`\`[\w]*\n?/m,"").replace(/\n?\`\`\`$/m,"").trim(); var reqMap={"numpy":"numpy","pandas":"pandas","sklearn":"scikit-learn","tensorflow":"tensorflow","torch":"torch","flask":"flask","fastapi":"fastapi","uvicorn":"uvicorn","requests":"requests","sqlalchemy":"sqlalchemy","pydantic":"pydantic","dotenv":"python-dotenv","PIL":"Pillow","cv2":"opencv-python","matplotlib":"matplotlib","seaborn":"seaborn","scipy":"scipy"}; var reqs=[]; Object.keys(reqMap).forEach(function(k){if(src.indexOf("import "+k)>=0||src.indexOf("from "+k)>=0)reqs.push(reqMap[k]);}); var reqsTxt=reqs.length?reqs.join("\n"):"# add dependencies here\n"; zip.file(folder+"main.py",src||"# "+title+"\n# Generated by PantheraHive BOS\n\nprint(title+\" loaded\")\n"); zip.file(folder+"requirements.txt",reqsTxt); zip.file(folder+".env.example","# Environment variables\n"); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\npython3 -m venv .venv\nsource .venv/bin/activate\npip install -r requirements.txt\n\`\`\`\n\n## Run\n\`\`\`bash\npython main.py\n\`\`\`\n"); zip.file(folder+".gitignore",".venv/\n__pycache__/\n*.pyc\n.env\n.DS_Store\n"); } /* --- Node.js --- */ function buildNode(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^\`\`\`[\w]*\n?/m,"").replace(/\n?\`\`\`$/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)+"\n"; zip.file(folder+"package.json",pkgJson); var fallback="const express=require(\"express\");\nconst app=express();\napp.use(express.json());\n\napp.get(\"/\",(req,res)=>{\n res.json({message:\""+title+" API\"});\n});\n\nconst PORT=process.env.PORT||3000;\napp.listen(PORT,()=>console.log(\"Server on port \"+PORT));\n"; zip.file(folder+"src/index.js",src||fallback); zip.file(folder+".env.example","PORT=3000\n"); zip.file(folder+".gitignore","node_modules/\n.env\n.DS_Store\n"); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\n\`\`\`\n\n## Run\n\`\`\`bash\nnpm run dev\n\`\`\`\n"); } /* --- 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:"\n\n\n\n\n"+title+"\n\n\n\n"+code+"\n\n\n\n"; zip.file(folder+"index.html",indexHtml); zip.file(folder+"style.css","/* "+title+" — styles */\n*{margin:0;padding:0;box-sizing:border-box}\nbody{font-family:system-ui,-apple-system,sans-serif;background:#fff;color:#1a1a2e}\n"); zip.file(folder+"script.js","/* "+title+" — scripts */\n"); zip.file(folder+"assets/.gitkeep",""); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Open\nDouble-click \`index.html\` in your browser.\n\nOr serve locally:\n\`\`\`bash\nnpx serve .\n# or\npython3 -m http.server 3000\n\`\`\`\n"); zip.file(folder+".gitignore",".DS_Store\nnode_modules/\n.env\n"); } /* ===== 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(/\n{2,}/g,"

"); h+="

"+hc+"

Generated by PantheraHive BOS
"; zip.file(folder+app+".html",h); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\nFiles:\n- "+app+".md (Markdown)\n- "+app+".html (styled HTML)\n"); } 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);}});}