Forensic Reporting

직업

카테고리

문서

from forensic_reporting import ReportGenerator, IncidentReport, TechnicalReport

# Initialize report generator
generator = ReportGenerator(case_id="CASE-2024-001")

# Add findings
generator.add_finding(title="Malware Detected", severity="high", details="...")

# Generate report
report = generator.generate_technical_report()
report.export_pdf("/evidence/reports/technical_report.pdf")

Usage

Task 1: Technical Forensic Report

Input: Forensic findings and analysis results

Process:

1. Structure findings
2. Add evidence references
3. Include technical details
4. Generate visualizations
5. Export report

Output: Comprehensive technical report

Example:

from forensic_reporting import TechnicalReportGenerator

# Initialize report generator
report = TechnicalReportGenerator(
    case_id="CASE-2024-001",
    case_name="Corporate Network Intrusion",
    examiner="John Doe",
    organization="ACME Security"
)

# Set case details
report.set_case_details(
    date_received="2024-01-15",
    date_completed="2024-01-20",
    requesting_party="ACME Corporation",
    subject="Investigation of suspected network intrusion"
)

# Add evidence items
report.add_evidence(
    item_id="EVD-001",
    description="Memory dump from WORKSTATION01",
    hash_sha256="abc123...",
    acquisition_date="2024-01-15",
    acquisition_method="WinPMEM"
)

report.add_evidence(
    item_id="EVD-002",
    description="Disk image from WORKSTATION01",
    hash_sha256="def456...",
    acquisition_date="2024-01-15",
    acquisition_method="FTK Imager"
)

# Add findings
report.add_finding(
    title="Malware Infection Confirmed",
    severity="critical",
    category="malware",
    description="Analysis confirmed presence of Cobalt Strike beacon",
    evidence_refs=["EVD-001", "EVD-002"],
    artifacts=[
        "C:\\Windows\\Temp\\beacon.exe",
        "HKCU\\Software\\Microsoft\\Windows\\CurrentVersion\\Run\\Updater"
    ],
    iocs=["203.0.113.50", "evil-c2.example.com"],
    mitre_techniques=["T1059.001", "T1547.001"]
)

report.add_finding(
    title="Credential Access Detected",
    severity="high",
    category="credential_access",
    description="Evidence of Mimikatz execution found in memory",
    evidence_refs=["EVD-001"],
    artifacts=["Process: lsass.exe accessed by unknown process"],
    mitre_techniques=["T1003.001"]
)

# Add timeline
report.add_timeline_event("2024-01-10 10:30", "Initial phishing email received")
report.add_timeline_event("2024-01-10 10:35", "User opened malicious attachment")
report.add_timeline_event("2024-01-10 10:36", "Malware beacon established")
report.add_timeline_event("2024-01-10 14:00", "Credential dumping detected")

# Add analysis methodology
report.add_methodology(
    tools_used=["Volatility 3", "Autopsy", "YARA"],
    techniques=["Memory forensics", "Timeline analysis", "IOC extraction"]
)

# Add conclusions
report.add_conclusion(
    summary="The investigation confirmed a successful intrusion via phishing",
    impact="Critical - credential theft and potential data exfiltration",
    recommendations=[
        "Immediately reset all compromised credentials",
        "Block identified C2 infrastructure",
        "Conduct enterprise-wide threat hunting"
    ]
)

# Generate report
report.generate()

# Export to multiple formats
report.export_pdf("/evidence/reports/technical_report.pdf")
report.export_docx("/evidence/reports/technical_report.docx")
report.export_html("/evidence/reports/technical_report.html")

Task 2: Executive Summary

Input: Investigation findings

Process:

1. Summarize key findings
2. Highlight business impact
3. Provide recommendations
4. Use non-technical language
5. Generate concise report

Output: Executive-level summary

Example:

from forensic_reporting import ExecutiveSummaryGenerator

# Initialize executive summary
summary = ExecutiveSummaryGenerator(
    case_id="CASE-2024-001",
    case_name="Security Incident Investigation"
)

# Set header information
summary.set_header(
    prepared_for="Executive Leadership Team",
    prepared_by="Security Incident Response Team",
    date="January 20, 2024",
    classification="Confidential"
)

# Add executive overview
summary.add_overview("""
On January 10, 2024, the Security Operations Center detected suspicious
activity on WORKSTATION01. An investigation was immediately initiated,
confirming a successful cyber intrusion. The attacker gained initial
access via a phishing email and subsequently stole credentials.
""")

# Add key findings
summary.add_key_finding(
    title="Confirmed Security Breach",
    description="An attacker successfully compromised corporate systems",
    impact="High - credential theft confirmed"
)

summary.add_key_finding(
    title="Attack Duration",
    description="The attacker maintained access for approximately 4 hours",
    impact="Medium - limited time window reduced exposure"
)

# Add business impact
summary.add_business_impact(
    affected_systems=["WORKSTATION01", "Potentially others"],
    data_at_risk="Employee credentials, potentially sensitive documents",
    operational_impact="Minimal - contained before widespread damage",
    financial_impact="Estimated $50,000 for incident response and remediation",
    regulatory_impact="Possible notification requirements under GDPR"
)

# Add recommendations
summary.add_recommendation(
    priority="immediate",
    action="Reset all credentials for affected users",
    owner="IT Security",
    timeline="Within 24 hours"
)

summary.add_recommendation(
    priority="short_term",
    action="Implement additional phishing protections",
    owner="IT Security",
    timeline="Within 2 weeks"
)

summary.add_recommendation(
    priority="long_term",
    action="Deploy endpoint detection and response solution",
    owner="IT Infrastructure",
    timeline="Within 90 days"
)

# Add metrics/KPIs
summary.add_metrics(
    detection_time="30 minutes",
    containment_time="4 hours",
    investigation_duration="5 days"
)

# Generate and export
summary.generate()
summary.export_pdf("/evidence/reports/executive_summary.pdf")
summary.export_pptx("/evidence/reports/executive_presentation.pptx")

Task 3: Expert Witness Report

Input: Forensic analysis for legal proceedings

Process:

1. Document qualifications
2. Describe methodology
3. Present findings objectively
4. Use precise language
5. Prepare for cross-examination

Output: Court-ready expert report

Example:

from forensic_reporting import ExpertWitnessReport

# Initialize expert witness report
report = ExpertWitnessReport(
    case_number="CV-2024-12345",
    court="United States District Court",
    jurisdiction="Northern District"
)

# Add expert qualifications
report.add_expert_qualifications(
    name="Dr. Jane Smith",
    title="Senior Digital Forensics Examiner",
    organization="Forensic Experts Inc.",
    qualifications=[
        "Ph.D. in Computer Science, specializing in Digital Forensics",
        "20+ years experience in digital forensic investigations",
        "Certified: EnCE, GCFE, CFCE",
        "Published author of 15 peer-reviewed papers on digital forensics"
    ],
    prior_testimony=[
        "Qualified as expert in federal and state courts 50+ times",
        "Testified in matters involving computer intrusion, fraud, IP theft"
    ]
)

# Add scope of engagement
report.add_engagement_scope(
    retained_by="Plaintiff",
    engagement_date="January 15, 2024",
    scope="""
    I was retained to examine digital evidence and provide expert opinion on:
    1. Whether the defendant's computer systems were used to access
       plaintiff's proprietary information
    2. The timing and extent of any unauthorized access
    3. Actions taken to conceal such access
    """,
    materials_reviewed=[
        "Forensic image of defendant's laptop (Evidence Item A)",
        "Server access logs from plaintiff's systems (Evidence Item B)",
        "Network traffic captures (Evidence Item C)"
    ]
)

# Add methodology
report.add_methodology(
    standards="NIST SP 800-86, Scientific Working Group on Digital Evidence",
    tools=[
        "EnCase Forensic 8.11",
        "Volatility Framework 3.0",
        "Autopsy Digital Forensics Platform"
    ],
    procedures="""
    All analysis was conducted on forensically sound copies of the original
    evidence. Hash values were verified before and after analysis to ensure
    integrity. Industry-standard forensic procedures were followed throughout.
    """
)

# Add findings
report.add_finding(
    finding_number=1,
    title="Unauthorized Access Occurred",
    opinion="Certain",
    basis="""
    Based on my analysis of Evidence Items A and B, I determined with a
    reasonable degree of scientific certainty that the defendant's computer
    was used to access plaintiff's proprietary database on multiple occasions.
    """,
    supporting_evidence=[
        "Browser history showing access to plaintiff's internal URL",
        "Downloaded files matching plaintiff's proprietary documents",
        "Timestamps correlating with server access logs"
    ]
)

report.add_finding(
    finding_number=2,
    title="Evidence of Concealment",
    opinion="Highly Probable",
    basis="""
    My analysis revealed evidence of anti-forensic activity designed to
    conceal the unauthorized access, including deleted browser history
    and use of privacy tools.
    """,
    supporting_evidence=[
        "CCleaner execution artifacts found in prefetch",
        "Recovered deleted browser history entries",
        "Timestamps showing activity followed by cleanup"
    ]
)

# Add opinions
report.add_opinion("""
Based on my examination and analysis of the digital evidence, it is my
expert opinion that the defendant used their computer to access plaintiff's
proprietary information without authorization, and subsequently took steps
to conceal this activity.
""")

# Add appendices
report.add_appendix("Technical Analysis Details", "detailed_analysis.pdf")
report.add_appendix("Evidence Inventory", "evidence_list.xlsx")

# Generate report
report.generate()
report.export_pdf("/evidence/reports/expert_witness_report.pdf")

Task 4: Incident Response Report

Input: IR findings and actions

Process:

1. Document incident details
2. Record response actions
3. Analyze root cause
4. Document lessons learned
5. Generate recommendations

Output: IR documentation

Example:

from forensic_reporting import IncidentResponseReport

# Initialize IR report
report = IncidentResponseReport(
    incident_id="INC-2024-0042",
    incident_name="Ransomware Attack - ACME Corporation"
)

# Set incident details
report.set_incident_details(
    detection_time="2024-01-10 10:30 UTC",
    declaration_time="2024-01-10 11:00 UTC",
    resolution_time="2024-01-12 16:00 UTC",
    severity="Critical",
    classification="Ransomware",
    affected_systems=["FILE-SERVER-01", "DB-SERVER-02", "25 workstations"],
    affected_users="Approximately 500 users"
)

# Add detection information
report.add_detection(
    detection_source="EDR Alert",
    initial_indicators=[
        "Multiple encryption processes detected",
        "Ransom note file creation",
        "Unusual SMB traffic patterns"
    ],
    first_responder="Jane Doe (SOC Analyst)"
)

# Add response timeline
report.add_response_action(
    timestamp="2024-01-10 11:15",
    action="Network isolation initiated",
    performed_by="Network Team",
    result="Affected servers isolated from network"
)

report.add_response_action(
    timestamp="2024-01-10 12:00",
    action="Forensic evidence collection started",
    performed_by="DFIR Team",
    result="Memory and disk images acquired"
)

report.add_response_action(
    timestamp="2024-01-10 18:00",
    action="Threat actor IOCs blocked at perimeter",
    performed_by="Security Team",
    result="C2 communications blocked"
)

report.add_response_action(
    timestamp="2024-01-11 09:00",
    action="Restoration from backups initiated",
    performed_by="IT Operations",
    result="Clean backups identified and restoration started"
)

# Add root cause analysis
report.add_root_cause_analysis(
    initial_access="Phishing email with malicious attachment",
    attack_vector="Macro-enabled Word document",
    vulnerabilities_exploited=[
        "Lack of email attachment sandboxing",
        "Macros enabled by default",
        "Insufficient network segmentation"
    ],
    timeline_summary="""
    The attacker sent a targeted phishing email to an employee, who opened
    the malicious attachment. The document macro downloaded and executed
    ransomware, which then spread via SMB to accessible file shares.
    """
)

# Add impact assessment
report.add_impact_assessment(
    business_impact="48 hours of partial business disruption",
    data_impact="No confirmed data exfiltration; files encrypted but restored",
    financial_impact="Estimated $250,000 (response, restoration, lost productivity)",
    reputational_impact="Minimal - no public disclosure required"
)

# Add lessons learned
report.add_lesson_learned(
    category="detection",
    lesson="Email gateway did not detect the malicious attachment",
    improvement="Implement advanced email threat protection with sandboxing"
)

report.add_lesson_learned(
    category="response",
    lesson="Network isolation took 45 minutes due to manual process",
    improvement="Implement automated isolation capabilities"
)

# Add recommendations
report.add_recommendation(
    priority="critical",
    recommendation="Disable macros by default enterprise-wide",
    timeline="Immediate"
)

report.add_recommendation(
    priority="high",
    recommendation="Implement network segmentation",
    timeline="30 days"
)

# Generate report
report.generate()
report.export_pdf("/evidence/reports/incident_report.pdf")

Task 5: IOC Report

Input: Extracted indicators of compromise

Process:

1. Organize IOCs by type
2. Add context and metadata
3. Format for sharing
4. Generate blocklists
5. Export in standard formats

Output: IOC documentation and feeds

Example:

from forensic_reporting import IOCReportGenerator

# Initialize IOC report
report = IOCReportGenerator(
    case_id="CASE-2024-001",
    threat_name="Operation Shadow Strike",
    tlp="amber"
)

# Add network IOCs
report.add_network_ioc(
    type="ip",
    value="203.0.113.50",
    context="Command and control server",
    confidence="high",
    first_seen="2024-01-10",
    source="Memory forensics"
)

report.add_network_ioc(
    type="domain",
    value="evil-c2.example.com",
    context="C2 domain",
    confidence="high",
    first_seen="2024-01-10",
    source="DNS cache analysis"
)

report.add_network_ioc(
    type="url",
    value="https://evil-c2.example.com/beacon",
    context="Beacon download URL",
    confidence="high",
    first_seen="2024-01-10",
    source="Network forensics"
)

# Add file IOCs
report.add_file_ioc(
    type="hash_md5",
    value="d41d8cd98f00b204e9800998ecf8427e",
    filename="malware.exe",
    context="Primary malware sample",
    confidence="high",
    source="Disk forensics"
)

report.add_file_ioc(
    type="hash_sha256",
    value="e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
    filename="malware.exe",
    context="Primary malware sample",
    confidence="high",
    source="Disk forensics"
)

# Add host IOCs
report.add_host_ioc(
    type="registry",
    value="HKCU\\Software\\Microsoft\\Windows\\CurrentVersion\\Run\\Updater",
    context="Persistence mechanism",
    confidence="high",
    source="Registry forensics"
)

report.add_host_ioc(
    type="mutex",
    value="Global\\MalwareMutex123",
    context="Malware mutex",
    confidence="high",
    source="Memory forensics"
)

report.add_host_ioc(
    type="filepath",
    value="C:\\Windows\\Temp\\beacon.exe",
    context="Malware drop location",
    confidence="high",
    source="Disk forensics"
)

# Add MITRE ATT&CK mapping
report.add_mitre_mapping("T1566.001", "Spearphishing Attachment")
report.add_mitre_mapping("T1059.001", "PowerShell")
report.add_mitre_mapping("T1547.001", "Registry Run Keys")
report.add_mitre_mapping("T1003.001", "LSASS Memory")

# Generate report
report.generate()

# Export in multiple formats
report.export_pdf("/evidence/reports/ioc_report.pdf")
report.export_csv("/evidence/reports/iocs.csv")
report.export_json("/evidence/reports/iocs.json")
report.export_stix("/evidence/reports/iocs.stix.json")
report.export_misp("/evidence/reports/misp_event.json")

# Generate blocklists
report.export_ip_blocklist("/evidence/reports/block_ips.txt")
report.export_domain_blocklist("/evidence/reports/block_domains.txt")
report.export_hash_blocklist("/evidence/reports/block_hashes.txt")

Task 6: Chain of Custody Report

Input: Evidence handling records

Process:

1. Document evidence items
2. Record all transfers
3. Track access events
4. Verify integrity
5. Generate legal documentation

Output: Chain of custody documentation

Example:

from forensic_reporting import ChainOfCustodyReport

# Initialize chain of custody report
report = ChainOfCustodyReport(
    case_id="CASE-2024-001",
    case_name="Corporate Investigation"
)

# Add evidence items
report.add_evidence_item(
    item_number="EVD-001",
    description="Dell Latitude 5520 Laptop",
    serial_number="ABC123XYZ",
    collected_by="John Doe",
    collected_date="2024-01-15 10:00",
    collected_location="Employee desk, Building A, Floor 3",
    initial_condition="Powered on, user logged in",
    storage_location="Evidence locker, Room 101"
)

report.add_evidence_item(
    item_number="EVD-002",
    description="Forensic image of EVD-001",
    hash_md5="abc123...",
    hash_sha256="def456...",
    created_by="Jane Smith",
    created_date="2024-01-15 14:00",
    tool_used="FTK Imager 4.7",
    storage_location="Evidence server, /cases/2024-001/"
)

# Record custody transfers
report.add_custody_transfer(
    item_number="EVD-001",
    transfer_date="2024-01-15 11:00",
    from_person="John Doe",
    from_location="Building A, Floor 3",
    to_person="Jane Smith",
    to_location="Forensics Lab, Room 201",
    purpose="Forensic imaging",
    transport_method="Hand-carried in evidence bag"
)

report.add_custody_transfer(
    item_number="EVD-001",
    transfer_date="2024-01-15 16:00",
    from_person="Jane Smith",
    from_location="Forensics Lab, Room 201",
    to_person="Evidence Custodian",
    to_location="Evidence Locker, Room 101",
    purpose="Secure storage",
    transport_method="Hand-carried in evidence bag"
)

# Record evidence access
report.add_access_record(
    item_number="EVD-002",
    access_date="2024-01-16 09:00",
    accessed_by="Jane Smith",
    purpose="Forensic analysis",
    actions="Mounted read-only, analyzed with Autopsy",
    duration="4 hours"
)

# Add verification records
report.add_verification(
    item_number="EVD-002",
    verification_date="2024-01-20",
    verified_by="Jane Smith",
    hash_verified=True,
    notes="Hash matches original acquisition"
)

# Generate report
report.generate()
report.export_pdf("/evidence/reports/chain_of_custody.pdf")

Task 7: Timeline Report

Input: Forensic timeline data

Process:

1. Import timeline events
2. Add narrative context
3. Highlight key events
4. Create visualizations
5. Generate report

Output: Timeline-focused report

Example:

from forensic_reporting import TimelineReportGenerator

# Initialize timeline report
report = TimelineReportGenerator(
    case_id="CASE-2024-001",
    title="Attack Timeline Analysis"
)

# Import timeline data
report.import_timeline("/evidence/timeline/supertimeline.csv")

# Add narrative sections
report.add_narrative_section(
    title="Initial Access",
    time_range=("2024-01-10 10:30", "2024-01-10 10:35"),
    narrative="""
    The attack began when a user opened a malicious email attachment.
    The document contained a macro that executed PowerShell commands
    to download the primary payload.
    """,
    highlight_events=[
        "2024-01-10 10:31 - Document opened",
        "2024-01-10 10:32 - PowerShell executed",
        "2024-01-10 10:33 - Payload downloaded"
    ]
)

report.add_narrative_section(
    title="Lateral Movement",
    time_range=("2024-01-10 14:00", "2024-01-10 15:00"),
    narrative="""
    After establishing persistence, the attacker performed credential
    dumping and began moving laterally through the network.
    """,
    highlight_events=[
        "2024-01-10 14:15 - Mimikatz execution",
        "2024-01-10 14:30 - RDP to FILE-SERVER-01"
    ]
)

# Add key events
report.add_key_event(
    timestamp="2024-01-10 10:31",
    event="Initial Compromise",
    description="User opened malicious attachment",
    significance="Attack initiation point"
)

report.add_key_event(
    timestamp="2024-01-10 14:15",
    event="Credential Theft",
    description="Mimikatz executed to dump credentials",
    significance="Enabled lateral movement"
)

# Configure visualization
report.configure_visualization(
    show_gaps=True,
    highlight_anomalies=True,
    group_by="source"
)

# Generate report
report.generate()
report.export_pdf("/evidence/reports/timeline_report.pdf")
report.export_html("/evidence/reports/timeline_report.html")

Task 8: Compliance Report

Input: Investigation findings for compliance

Process:

1. Map to compliance framework
2. Document required elements
3. Assess compliance impact
4. Generate notifications
5. Create audit trail

Output: Compliance-ready documentation

Example:

from forensic_reporting import ComplianceReportGenerator

# Initialize compliance report
report = ComplianceReportGenerator(
    case_id="CASE-2024-001",
    frameworks=["GDPR", "PCI-DSS", "HIPAA"]
)

# Add incident details
report.set_incident_details(
    incident_type="data_breach",
    detection_date="2024-01-10",
    affected_records=1500,
    data_types=["PII", "Financial data"],
    geographic_scope=["EU", "US"]
)

# GDPR compliance
report.add_gdpr_assessment(
    personal_data_affected=True,
    data_subjects=["Employees", "Customers"],
    dpa_notification_required=True,
    dpa_notification_deadline="2024-01-13",
    subject_notification_required=True,
    risk_to_subjects="High - credential theft"
)

# PCI-DSS compliance
report.add_pci_assessment(
    cardholder_data_affected=False,
    requirement_violations=["Req 10 - Logging", "Req 11 - Testing"],
    forensic_investigation_required=True
)

# Generate compliance timeline
report.add_compliance_action(
    framework="GDPR",
    action="DPA Notification Sent",
    date="2024-01-12",
    details="Notification sent to ICO within 72 hours"
)

report.add_compliance_action(
    framework="GDPR",
    action="Data Subject Notification",
    date="2024-01-15",
    details="Email notification sent to affected individuals"
)

# Generate notifications
report.generate_dpa_notification(
    authority="ICO",
    output_path="/evidence/reports/ico_notification.pdf"
)

report.generate_subject_notification(
    template="breach_notification",
    output_path="/evidence/reports/subject_notification.pdf"
)

# Generate compliance report
report.generate()
report.export_pdf("/evidence/reports/compliance_report.pdf")

Task 9: Report Templates

Input: Template requirements

Process:

1. Create template structure
2. Define placeholders
3. Add styling
4. Test generation
5. Export template

Output: Reusable report templates

Example:

from forensic_reporting import ReportTemplateManager

# Initialize template manager
templates = ReportTemplateManager()

# Create custom template
template = templates.create_template(
    name="malware_analysis",
    title="Malware Analysis Report",
    sections=[
        {
            "name": "executive_summary",
            "title": "Executive Summary",
            "required": True
        },
        {
            "name": "sample_information",
            "title": "Sample Information",
            "fields": ["filename", "hash_md5", "hash_sha256", "file_size", "file_type"]
        },
        {
            "name": "static_analysis",
            "title": "Static Analysis",
            "subsections": ["pe_analysis", "strings", "imports", "resources"]
        },
        {
            "name": "dynamic_analysis",
            "title": "Dynamic Analysis",
            "subsections": ["behavior", "network", "file_system", "registry"]
        },
        {
            "name": "iocs",
            "title": "Indicators of Compromise",
            "fields": ["network_iocs", "file_iocs", "host_iocs"]
        },
        {
            "name": "mitre_mapping",
            "title": "MITRE ATT&CK Mapping"
        },
        {
            "name": "conclusions",
            "title": "Conclusions and Recommendations"
        }
    ]
)

# Set template styling
template.set_styling(
    font="Arial",
    header_color="#003366",
    table_style="professional"
)

# Save template
templates.save_template(template, "/templates/malware_analysis.json")

# List available templates
available = templates.list_templates()
for t in available:
    print(f"Template: {t.name}")
    print(f"  Sections: {len(t.sections)}")

# Generate report from template
report = templates.generate_from_template(
    template_name="malware_analysis",
    data={
        "filename": "malware.exe",
        "hash_sha256": "abc123...",
        "executive_summary": "Analysis of malware sample...",
        "iocs": {...}
    }
)
report.export_pdf("/evidence/reports/malware_report.pdf")

Task 10: Multi-Format Export

Input: Report content

Process:

1. Prepare content for format
2. Apply formatting
3. Include attachments
4. Generate output
5. Verify output

Output: Reports in multiple formats

Example:

from forensic_reporting import MultiFormatExporter

# Initialize exporter with report content
exporter = MultiFormatExporter(
    report_data="/evidence/reports/report_data.json"
)

# Export to PDF with options
exporter.export_pdf(
    output_path="/evidence/reports/report.pdf",
    options={
        "include_toc": True,
        "include_appendices": True,
        "watermark": "CONFIDENTIAL",
        "password_protect": True,
        "password": "SecurePassword123"
    }
)

# Export to Word
exporter.export_docx(
    output_path="/evidence/reports/report.docx",
    options={
        "template": "/templates/corporate.docx",
        "include_styles": True,
        "track_changes": False
    }
)

# Export to HTML
exporter.export_html(
    output_path="/evidence/reports/report.html",
    options={
        "include_navigation": True,
        "interactive_timeline": True,
        "responsive": True
    }
)

# Export to Markdown
exporter.export_markdown(
    output_path="/evidence/reports/report.md",
    options={
        "github_flavored": True,
        "include_toc": True
    }
)

# Export to PowerPoint
exporter.export_pptx(
    output_path="/evidence/reports/presentation.pptx",
    options={
        "template": "/templates/corporate.pptx",
        "include_speaker_notes": True
    }
)

# Batch export
exporter.batch_export(
    output_dir="/evidence/reports/",
    formats=["pdf", "docx", "html", "md"],
    naming_pattern="{case_id}_{date}_{format}"
)

Configuration

Environment Variables

Options

Examples

Example 1: Complete Investigation Report

Scenario: Generating full report package

from forensic_reporting import ReportPackageGenerator

# Create complete report package
package = ReportPackageGenerator(case_id="CASE-2024-001")

# Add all report types
package.add_technical_report(findings_data)
package.add_executive_summary(summary_data)
package.add_ioc_report(iocs)
package.add_timeline_report(timeline)
package.add_chain_of_custody(custody_records)

# Generate all reports
package.generate_all("/evidence/reports/")

# Create final package
package.create_package(
    output_path="/evidence/CASE-2024-001_Final_Report_Package.zip"
)

Limitations

• Complex formatting may vary across export formats
• Large reports may take time to generate
• Some features require specific fonts installed
• Template customization has boundaries
• Interactive features only in HTML export
• Password protection varies by format
• Legal compliance not guaranteed

Troubleshooting

Common Issue 1: Font Not Found

Problem: Report generation fails due to missing fonts Solution:

• Install required fonts
• Use fallback font option
• Use built-in fonts

Common Issue 2: Large Report Timeout

Problem: Report generation takes too long Solution:

• Generate sections separately
• Reduce image quality
• Use lighter templates

Common Issue 3: Format Conversion Issues

Problem: Content looks different in different formats Solution:

• Use format-appropriate styling
• Test in target format
• Simplify complex formatting

Related Skills

• artifact-collection: Evidence documentation
• timeline-forensics: Timeline generation
• malware-forensics: IOC extraction
• memory-forensics: Technical findings
• disk-forensics: Technical findings

References

• Forensic Reporting Reference
• Report Templates Guide
• Legal Documentation Standards